{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "ei9rT_XZ3SO5" }, "source": [ "### TME sur Echantillonage\n", "\n", "## Diffusion dans les graphes \n", "\n", "Au cours des vingt dernières années, les réseaux sociaux sont devenus un média d’information incontournable, mettant en jeu des dynamiques complexes de communication entre utilisateurs. La modélisation de la diffusion d’information sur les réseaux constitue depuis lors un enjeu majeur, pour diverses tâches\n", "telles que l’identification de leaders d’opinions, la prédiction ou la maximisation de l’impact d’un contenu diffusé, la détection de communautés d’opinions, ou plus généralement l’analyse des dynamiques du réseau considéré.\n", "\n", "Le modèle proposé par (Saito et al, 2009) considère une diffusion en cascade dans laquelle l'information transite de noeuds en noeuds du réseau en suivant des relations d'influence entre les utilisateurs. Lorsqu'un utilisateur est ``infecté'' par une information, il possède une chance unique de la retransmettre à chacun de ses successeurs dans le graphe, selon une probabilité définie sur le lien correspondant. Le modèle définit en fait deux paramètres sur chaque lien $(u,v)$ du graphe:\n", "\n", "\n", "* $k_{u,v}$: la probabilité que l'utilisateur $u$ transmette une information diffusée à $v$\n", "* $r_{u,v}$: si la transmission s'effectue, l'utilisateur $v$ la reçoit au temps $t_v=t_u+\\delta$, avec $\\delta \\sim Exp(r_{u,v})$\n", "\n", "Pour utiliser ce modèle, on devra donc échantillonner selon la distribution exponentielle. Pour commencer, on cherche alors à écrire une méthode $exp(rate)$ qui échantillonne des variables d'une loi exponentielle selon le tableau d'intensités $rate$ passé en paramètre. Cet échantillonnage se fera par **Inverse Transform Sampling**. Pour éviter les divisions par 0, on ajoutera $1e-200$ aux intensités qui valent 0. \n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "f1aE9ijomC1j" }, "outputs": [], "source": [ "import numpy as np\n", "np.random.seed(0)\n", "def exp(rate): # note: rate correspond à lambda dans les formules usuelles de la loi exponentielle\n", " #>>>>>>>>>>\n", " # votre code ici\n", " # 1. Avoir calculé x = F(u, rate) comme en TD\n", " # 2. Retourner un tirage aléatoire à partir de np.random.rand\n", " # note: si on donne plusieurs valeur de rate, on fera autant de tirages (comme ci-dessous)\n", " #<<<<<<<<<<\n", "\n", "#Test : on sait que l'espérance de la loi exp est 1/lambda \n", "a=exp(np.array([[1,2,3],[4,5,6]]))\n", "for i in range(10000):\n", " a+=exp(np.array([[1,2,3],[4,5,6]]))\n", "print(a/10000) # calcul de l'espérance\n", "\n", "# Pour comparaison avec la méthode de référence de numpy:\n", "# ATTENTION, la méthode attend un paramètre 1/lambda (et non lambda)\n", "a=np.random.exponential(1.0/np.array([[1,2,3],[4,5,6]]))\n", "for i in range(10000):\n", " a+=np.random.exponential(1.0/np.array([[1,2,3],[4,5,6]]))\n", "print(a/10000) # calcul de l'espérance\n" ] }, { "cell_type": "markdown", "metadata": { "id": "J2FBZBggg1B7" }, "source": [ "Vérification :\n", "\n", "\n", "\n", "```\n", "[[0.98796784 0.49198855 0.33501196]\n", " [0.25022762 0.19644862 0.16723749]]\n", "[[1.00356177 0.50416273 0.34028414]\n", " [0.25231623 0.20024732 0.16911951]]\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "QHJPFXBKoqIf" }, "source": [ "Soit le graphe de diffusion donné ci dessous: " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "eBihGMdL7tZw" }, "outputs": [], "source": [ "\n", "names={0:\"Paul\",1:\"Jean\",2:\"Hector\",3:\"Rose\",4:\"Yasmine\",5:\"Léo\",6:\"Amine\",7:\"Mia\",8:\"Quentin\",9:\"Gaston\",10:\"Louise\"}\n", "k={(0,1):0.9,(1,0):0.9,(1,2):0.2,(2,3):0.5,(3,2):0.4,(2,4):0.9,(4,3):0.9,(1,3):0.5,(2,5):0.5,(5,7):0.7,(1,6):0.2,(6,7):0.1,(1,8):0.8,(8,9):0.2,(1,10):0.5,(10,9):0.9,(8,1):0.8}\n", "r={(0,1):0.2,(1,0):3,(1,2):1,(2,3):0.2,(3,2):0.5,(2,4):10,(4,3):2,(1,3):2,(2,5):0.5,(5,7):15,(1,6):3,(6,7):4,(1,8):0.8,(8,9):0.1,(1,10):12,(10,9):1,(8,1):14}\n", "graph=(names,k,r)\n" ] }, { "cell_type": "markdown", "metadata": { "id": "Cx2XlKT97sbh" }, "source": [ "La fonction display_graph ci dessous permet de visualiser le graphe de diffusion correspondant: " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 252 }, "id": "M-etZqDj3PXW", "outputId": "c1ce6ed9-a5cd-4148-f6d6-885cf77a9ff9" }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light", "tags": [] }, "output_type": "display_data" } ], "source": [ "import pydot\n", "import matplotlib.pyplot as plt\n", "import matplotlib.image as mpimg\n", "\n", "style = { \"bgcolor\" : \"#6b85d1\", \"fgcolor\" : \"#FFFFFF\" }\n", "\n", "def display_graph ( graph_data, style, graph_name=\"diffusion_graph\" ):\n", " graph = pydot.Dot( graph_name , graph_type='digraph')\n", " names,k,r=graph_data\n", " # création des noeuds du réseau\n", " for (i,name) in names.items():\n", " new_node = pydot.Node( str(i)+\"_\"+name,\n", " style=\"filled\",\n", " fillcolor=style[\"bgcolor\"],\n", " fontcolor=style[\"fgcolor\"] )\n", " graph.add_node( new_node )\n", "\n", " # création des arcs\n", " for edge,valk in k.items():\n", " valr=r[edge]\n", " n1=str(edge[0])+\"_\"+names[edge[0]]\n", " n2=str(edge[1])+\"_\"+names[edge[1]]\n", " new_edge = pydot.Edge ( n1, n2, label=\"k=\"+str(valk)+\",r=\"+str(valr))\n", " graph.add_edge ( new_edge )\n", "\n", " # sauvegarde et affichage\n", " outfile = graph_name + '.png'\n", " graph.write_png( outfile )\n", " img = mpimg.imread ( outfile )\n", " plt.imshow( img )\n", "display_graph(graph,style)" ] }, { "cell_type": "markdown", "metadata": { "id": "s0_Ol6AgQa9g" }, "source": [ "On souhaite être capable d'estimer les probabilités marginales d'infection des différents utilisateurs du réseau par une information pour laquelle on connaît les sources (i.e., les utilisateurs infectés au temps 0). \n", "\n", "Etant donnés les cycles possibles dans le graphe de diffusion, considérer un calcul exact des probabilités d'infection des différents utilisateurs sachant le début de la diffusion est inenvisageable : il faudrait considérer toutes les combinaisons possibles (infinies) de temps d'infection pour tous les utilisateurs non sources. \n", "\n", "Une possibilité pour calculer ces probabilités d'infections est de travailler par échantillonnage de Monte Carlo: on réalise $n$ tirages d'infections connaissant les sources et on recense le ratio des simulations dans lesquelles chacun des utilisateurs est infecté avant un temps $maxT$. \n", "\n", "L'idée est alors dans un premier temps d'écrire une méthode $simulation(graph,sources)$ qui, à partir d'une liste de sources, retourne les temps d'infection de l'ensemble des noeuds en fin de diffusion, sous la forme d'un tableau où chaque case $i$ contient le temps d'infection du noeud $i$. Si le noeud $i$ n'a pas été infecté ou bien si il l'a été après un temps maximal $maxT$, la case $i$ contient alors la valeur $maxT$. \n", "\n", "Le pseudo-code de la méthode de simulation est donné ci dessous, avec $t_i$ le temps d'infection courant du noeud $i$:\n", "```\n", "ti=maxT pour tout i non source \n", "Tant qu'il reste des infectieux dont le temps est < maxT:\n", " i=Infectieux de temps d'infection minimal\n", " Pour tout noeud j tel que tj>ti:\n", " sampler x selon Bernoulli(kij)\n", " si x==1:\n", " sampler delta selon Exp(rij)\n", " t=ti+delta \n", " si t to \n", "def get_kr_for(graph,fr,to):\n", " _,gk,gr=graph\n", " k=np.array([[gk.get((i, v),0) for v in to] for i in fr])\n", " r=np.array([[gr.get((i, v),0) for v in to] for i in fr])\n", " return k,r\n", "\n", "def simulation(graph,sources, maxT):\n", " #>>>>>>>>>>>>>>>>\n", " # votre code ici:\n", " nbNodes=len(names)\n", " infectious= # maxT partout + 0 sur les sources\n", " # infectious sera le vecteur de travail dans lequel on élimine \n", " # les noeuds traités\n", " # => On crée aussi un vecteur times, qui sera celui contentant les\n", " # temps de référence à retourner\n", " times = np.copy(infectious) \n", " while True: # boucle infinie (il faudra une clause en break)\n", " # trouver le noeud contaminant à cette itération = argmin dans infectious\n", " # trouver le temps associé à la contamination: Tref\n", " # éliminer le noeud en mettant sa valeur ) maxT dans infectious => il ne sera plus sélectionné\n", " # critère de sortie: il n'y a plus de noeuds contaminant possible \n", " # trouver les indices des cibles (temps de contamination > Tref)\n", " # trouver les paramètres des modèles entre le noeud source et les cibles:\n", " params = get_kr_for(graph,[contaminant],cibles) # récupération des paramètres vers les cibles\n", " # tirage Bernoulli selon params[0][0]: les cibles sont elles contaminées\n", " # tirage Exp selon params[1][0]: quand est ce que les cibles sont contaminées (Tref + tirage)\n", " # ce temps est-il inféreur au temps auquel la cible aurait déjà été contaminée?\n", " # -> ne pas confondre np.min et np.minimum !\n", " # mettre à jour times\n", " # mettre à jour infectious\n", " #<<<<<<<<<<<\n", "\n", "np.random.seed(1)\n", "print(simulation(graph,[0], maxT))\n", "print(simulation(graph,[0], maxT))\n", "print(simulation(graph,[0], maxT))\n", "np.random.seed(1)\n", "print(simulation(graph,[0,1], maxT))\n", "print(simulation(graph,[0,1], maxT))\n", "print(simulation(graph,[0,1], maxT))\n" ] }, { "cell_type": "markdown", "metadata": { "id": "uxs-LQ3NgqHC" }, "source": [ "Vérification : \n", "\n", "```\n", "[ 0. 2.71669685 10. 10. 10. 10.\n", " 10. 10. 3.19055869 3.17528764 2.86665883]\n", "[ 0. 0.60940319 10. 10. 10. 10.\n", " 10. 10. 2.36988928 10. 10. ]\n", "[ 0. 0.22787406 10. 10. 10. 10.\n", " 10. 10. 1.27950225 3.42920125 10. ]\n", "[ 0. 0. 0.03983788 0.09306264 0.05063365 1.10889995\n", " 10. 1.16647819 10. 1.16739272 0.03159079]\n", "[ 0. 0. 10. 10. 10. 10.\n", " 0.16359844 10. 1.71855838 10. 10. ]\n", "[ 0. 0. 3.08047501 1.49963044 3.25699405 10.\n", " 10. 10. 0.83189232 2.23597755 10. ]\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "mPpzbeS_UMXk" }, "source": [ "La méthode $getProbaMC(graph,sources,nbsimu)$ retourne les estimations de probabilités marginales d'infection des différents noeuds de $graph$, conditionnées à l'observation des $sources$. Pour être enregistrée, une infection doit intervenir avant la seconde $maxT$. Ainsi, si la méthode retourne 0.2 pour le noeud $i$, cela indique qu'il a été infecté avec un temps $t_i \\in ]0,maxT[$ dans 20% des $nbsimu$ simulations effectuées. Compléter la méthode ci dessous: " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "dV9zdHYPG7Op" }, "outputs": [], "source": [ "np.random.seed(0)\n", "\n", "def getProbaMC(graph,sources, maxT, nbsimu=100000):\n", " names,gk,gr=graph # eclatement du graphe\n", " nbNodes=len(names)\n", " rInf= np.zeros(nbNodes) # nb d'infection de chaque noeud dans la simulation suivante\n", " #>>>>>>>>>>>\n", " # votre code ici\n", " # boucle for sur nbsimu\n", " # Réalisation d'une simulation\n", " # Incrément pour les noeuds contaminés dans la simulation\n", " # retour de rInf (normalisé en fréquence et pas en comptage)\n", " #<<<<<<<<<<<\n", " \n", "\n", "rInf=getProbaMC(graph,[0], maxT)\n", "print(rInf) \n", "\n", "rInf=getProbaMC(graph,[0], maxT)\n", "print(rInf)\n", "\n", "rInf=getProbaMC(graph,[0,1], maxT)\n", "print(rInf) \n", "\n", "rInf=getProbaMC(graph,[2,8], maxT)\n", "print(rInf) \n" ] }, { "cell_type": "markdown", "metadata": { "id": "2VB69myqgYia" }, "source": [ "Vérification : \n", "\n", "\n", "```\n", "[1. 0.7785 0.25939 0.44694 0.23214 0.11123 0.15518 0.09145 0.58973\n", " 0.36455 0.38976]\n", "[1. 0.77994 0.25928 0.44709 0.23307 0.11118 0.155 0.09067 0.59052\n", " 0.36201 0.38788]\n", "[1. 1. 0.35724 0.58993 0.32084 0.17582 0.20088 0.13995 0.79891\n", " 0.49967 0.49876]\n", "[0.71818 0.79804 1. 0.93559 0.89997 0.49813 0.15957 0.35803 1.\n", " 0.44108 0.39904]\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "X-sluTACtRCM" }, "source": [ "Cette méthode permet de bonnes estimations (malgré une certaine variance) lorsque l'on n'a pas d'observations autres que le vecteur de sources (i.e., on estime des probabilités de la forme: $P(t_i < maxT|\\{(j,t_j),t_j=0\\})$). Par contre, si l'on souhaite obtenir des probabilités d'infection du type $P(t_i < maxT|\\{(j,t_j),t_j=0\\}, \\{(j,t_j), j \\in {\\cal O}\\})$, c'est à dire conditionnées à des observations supplémentaires pour un sous-ensembles de noeuds ${\\cal O}$ (avec $t_j > 0$ pour tout noeud $j$ de ${\\cal O}$), l'utilisation de la méthode de MonteCarlo précédente est impossible. Cela impliquerait de filtrer les simulations obtenues selon qu'elles remplissent les conditions sur les noeuds de ${\\cal O}$, ce qui nous amènerait à toutes les écarter sachant que l'on travaille avec des temps continus. \n", "\n", "Pour estimer ce genre de probabilité conditionnelle, nous allons nous appuyer sur des méthodes de type MCMC, notamment la méthode de Gibbs Sampling. Cette méthode est utile pour simuler selon une loi jointe, lorsqu'il est plus simple d'échantillonner de chaque variable conditionnellement à toutes les autres plutôt que directement de cette loi jointe. L'algorithme est donné par: \n", "\n", "\n", "1. Tirage d'un vecteur de valeurs initiales pour toutes les variables $X_i$\n", "2. Pour toutes les variable $X_i$ choisies dans un ordre aléatoire, échantillonnage d'une nouvelle valeur: $X_i \\sim p(x_i\\mid x_1,\\dots,x_{i-1},x_{i+1},\\dots,x_n)$\n", "3. Recommencer en 2 tant qu'on souhaite encore des échantillons\n", "\n", "Notons qu'il est souvent utile d'exploiter la relation suivante, qui indique que pour échantillonner de la loi conditionnelle, il suffit d'échantillonner chaque variable proportionnellement à la loi jointe, avec toutes les autres variables fixées: \n", "$$p(x_j\\mid x_1,\\dots,x_{j-1},x_{j+1},\\dots,x_n) = \\frac{p(x_1,\\dots,x_n)}{p(x_1,\\dots,x_{j-1},x_{j+1},\\dots,x_n)} \\propto p(x_1,\\dots,x_n)$$\n", "\n", "Après une période dite de $burnin$ d'un nombre d'époques à définir, l'algorithme émet des échantillons qui suivent la loi jointe connaissant les observations. Lorsque l'objectif est d'estimer des probabilités marginales, on fait alors tourner cet algorithme pendant une certain nombre d'époques après la période de $burnin$, au cours desquelles on recence les différentes affectations de chacune des variables étudiées. \n", "\n", "Pour mettre en oeuvre cet algorithme, nous aurons aurons besoin d'avoir accès rapidement aux prédecesseurs et successeurs dans le graphe. La méthode ci-dessous retourne un couple de dictionnaires à partir du graphe: \n", " \n", "\n", "* $preds[i]$ contient la liste des prédécesseurs du noeud $i$, sous la forme d'une liste de triplets $(j,k_{j,i},r_{j,i})$ pour tous les $j$ précédant $i$ dans le graphe. \n", "* $succs[i]$ contient la liste des successeurs du noeud $i$, sous la forme d'une liste de triplets $(j,k_{i,j},r_{i,j})$ pour tous les $j$ pointés par $i$ dans le graphe.\n", "\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0sPmzchnSP3r", "outputId": "66b3d635-6c9b-4bea-a6d7-4c9e2b60ff75" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "preds= {1: [(0, 0.9, 0.2), (8, 0.8, 14)], 0: [(1, 0.9, 3)], 2: [(1, 0.2, 1), (3, 0.4, 0.5)], 3: [(2, 0.5, 0.2), (4, 0.9, 2), (1, 0.5, 2)], 4: [(2, 0.9, 10)], 5: [(2, 0.5, 0.5)], 7: [(5, 0.7, 15), (6, 0.1, 4)], 6: [(1, 0.2, 3)], 8: [(1, 0.8, 0.8)], 9: [(8, 0.2, 0.1), (10, 0.9, 1)], 10: [(1, 0.5, 12)]}\n", "succs= {0: [(1, 0.9, 0.2)], 1: [(0, 0.9, 3), (2, 0.2, 1), (3, 0.5, 2), (6, 0.2, 3), (8, 0.8, 0.8), (10, 0.5, 12)], 2: [(3, 0.5, 0.2), (4, 0.9, 10), (5, 0.5, 0.5)], 3: [(2, 0.4, 0.5)], 4: [(3, 0.9, 2)], 5: [(7, 0.7, 15)], 6: [(7, 0.1, 4)], 8: [(9, 0.2, 0.1), (1, 0.8, 14)], 10: [(9, 0.9, 1)]}\n" ] } ], "source": [ "# pré-calcul des précécesseurs et successeurs pour gagner du temps ensuite\n", "def getPredsSuccs(graph):\n", " names,gk,gr=graph\n", " nbNodes=len(names)\n", " preds={}\n", " succs={}\n", " for (a,b),v in gk.items():\n", " s=succs.get(a,[])\n", " s.append((b,v,gr[(a,b)]))\n", " succs[a]=s\n", " p=preds.get(b,[])\n", " p.append((a,v,gr[(a,b)]))\n", " preds[b]=p\n", " return (preds,succs)\n", "preds,succs=getPredsSuccs(graph)\n", "print(\"preds=\",preds)\n", "print(\"succs=\",succs)" ] }, { "cell_type": "markdown", "metadata": { "id": "Vk-vCmVX6HtV" }, "source": [ "Pour calculer les probabilités conditionnelles, il faut prendre en compte les quantités suivantes: \n", "\n", "\n", "* Probabilité pour $j$ d'être infecté par $i$ au temps $t_j$ connaissant $t_i < t_j$: \n", "$$\\alpha_{i,j}=k_{i,j}r_{i,j} exp(-r_{i,j}(t_j-t_i))$$\n", "* Probabilité pour $j$ de ne pas être infecté par $i$ jusqu'au temps $t$:\n", "$$\\beta_{i,j}=k_{i,j} exp(-r_{i,j}(t_j-t_i)) + 1 - k_{i,j}$$\n", "* Probabilité pour $j$ d'être infecté au temps $t_j$ connaissant les prédecesseurs infectés avant $t_j$:\n", "$$h_{j}=\\prod_{i \\in preds[j], t_i0:\n", " c,k,r=map(np.array,zip(*preds)) # mise en forme des prédécesseurs\n", " #>>>>>>>>>>>>>\n", " # votre code ici\n", " # Récupérer le temps de contamination des noeuds c\n", " # trouver les indices de tous les temps positifs ou nuls \n", " # qui sont aussi inférieur à t\n", " # calculer les delta_t associés\n", " # calcul de b\n", " # si t < maxT\n", " # calcul de a\n", " # sinon \n", " # a = 1\n", " #<<<<<<<<<<<<\n", " return (a,b)\n", "\n", "nbNodes=len(graph[0])\n", "times=np.array([maxT]*nbNodes,dtype=float)\n", "times[0]=0\n", "times[1]=1\n", "times[2]=4\n", "\n", "print(computeab(0,times,preds, maxT, eps))\n", "print(computeab(1,times,preds, maxT, eps))\n", "print(computeab(2,times,preds, maxT, eps))\n", "print(computeab(3,times,preds, maxT, eps))\n" ] }, { "cell_type": "markdown", "metadata": { "id": "ujNcsUdcfKYR" }, "source": [ "Vérification : \n", "\n", "\n", "```\n", "(1, 0)\n", "(0.17610107365772135, -0.17810126145719926)\n", "(0.012293749653343877, -0.2107736084094422)\n", "(1.0, -1.12301187855188)\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "aXnKXCMfLMK-" }, "source": [ "La méthode $computell$ calcule la log-vraisemblance d'une diffusion (représentée par le tableau times), en appelant la méthode computeab sur l'ensemble des noeuds du réseau. Elle retourne un triplet (log-likelihood, sa, sb), avec $sa$ et $sb$ les tables des valeurs $a$ et $b$ pour tous les noeuds. " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "aM0K-VhPUXJn" }, "outputs": [], "source": [ "def computell(times,preds, maxT, eps):\n", " #>>>>>>\n", " # votre code ici\n", " # = calcul de a,b pour tous les v\n", " # calcul de la log-vraisemblance\n", " #<<<<<\n", "\n", "ll,sa,sb=computell(times,preds, maxT, eps)\n", "print(\"ll=\",ll)\n", "print(times)\n", "print(\"like_indiv=\",np.exp(np.log(sa)+sb))\n" ] }, { "cell_type": "markdown", "metadata": { "id": "akb4kVy3hK2X" }, "source": [ "Vérification : \n", "\n", "\n", "\n", "```\n", "ll= -13.117139892397578\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "like_indiv= [1. 0.14737154 0.00995741 0.32529856 0.1 0.52489353\n", " 0.8 1. 0.20059727 1. 0.5 ]\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "aNlDzJeFNb60" }, "source": [ "Afin de préparer les mises à jour lors des affectations successives des variables du Gibbs Sampling, on propose de définir une méthode $removeV(v,times,succs,sa,sb)$ qui retire temporairement du réseau un noeud $v$, en passant son temps d'infection à -1 dans times et en retirant sa contribution aux valeurs a et b (contenues dans sa et sb) de tous ses successeurs $j$ tels que $t_j > t_v$ (y compris donc les non infectés qui sont à $t_j=maxT$). " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "rEGzpS_DaRX5", "outputId": "f1cd5174-87e0-426e-f665-f4a1b2ed89f5" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "sa= [1. 0.17610107 0.01229375 1. 1. 1.\n", " 1. 1. 1. 1. 1. ]\n", "sb= [ 0. -0.17810126 -0.21077361 -1.12301188 -2.30258509 -0.64455983\n", " -0.22314355 0. -1.60645602 0. -0.69314718]\n", "diffa= [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", "diffb= [0. 0. 0. 1.12301188 0. 0.\n", " 0. 0. 0. 0. 0. ]\n", "diffa= [ 0. 0.82389893 -0.01229375 0. 0. 0.\n", " 0. 0. 0. 0. 0. ]\n", "diffb= [0. 0.17810126 0.21077361 0.69314717 0. 0.\n", " 0.22314355 0. 1.60645602 0. 0.69314718]\n" ] } ], "source": [ "def removeV(v,times,succs,sa,sb):\n", " succs=succs.get(v,[])\n", " t=times[v]\n", " if t<0:\n", " return \n", " times[v]=-1\n", " sa[v]=1.0\n", " sb[v]=0.0\n", " if len(succs)>0:\n", " c,k,r=map(np.array,zip(*succs))\n", " tp=times[c]\n", " which=(tp>t)\n", "\n", " tp=tp[which]\n", " dt=tp-t\n", " k=k[which]\n", " r=r[which]\n", " c=c[which]\n", " rt = -r*dt\n", " b1=k*np.exp(rt)\n", " b=b1+1.0-k\n", " \n", " a=r*b1\n", " a=a/b\n", " b=np.log(b)\n", " \n", " sa[c]=sa[c]-np.where(tpeps,sa[c],eps)\n", " sb[c]=sb[c]-b\n", " sb[c]=np.where(sb[c]>0,0,sb[c])\n", "\n", "\n", "#Test\n", "print(\"sa=\",sa)\n", "print(\"sb=\",sb)\n", "\n", "nsa=np.copy(sa)\n", "nsb=np.copy(sb)\n", "ntimes=np.copy(times)\n", "removeV(3,ntimes,succs,nsa,nsb)\n", "print(\"diffa=\",nsa-sa)\n", "print(\"diffb=\",nsb-sb)\n", "\n", "nsa=np.copy(sa)\n", "nsb=np.copy(sb)\n", "ntimes=np.copy(times)\n", "removeV(1,ntimes,succs,nsa,nsb)\n", "print(\"diffa=\",nsa-sa)\n", "print(\"diffb=\",nsb-sb)\n" ] }, { "cell_type": "markdown", "metadata": { "id": "cb8iIMwgO6D9" }, "source": [ "La méthode addVatT fait l'inverse: elle rajoute un noeud qui était retiré du réseau, avec un temps $newt$. Il faut alors mettre à jour les valeurs a et b (dans sa et sb) de tous les successeurs de $v$ tels que $t_j > newt$ et calculer les valeurs a et b du noeud v. \n", "\n", "Compléter le code ci-dessous: " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "9sDiLiXnngog" }, "outputs": [], "source": [ "def addVatT(v,times,newt,preds,succs,sa,sb):\n", " t=times[v]\n", " if t>=0:\n", " raise Error(\"v must have been removed before\")\n", " \n", " #>>>>>>>>>>>>\n", " # votre code ici\n", " #<<<<<<<<<<<<<<<<<<<\n", "\n", "# Tests: \n", " \n", "nsa=np.copy(sa)\n", "nsb=np.copy(sb)\n", "c,_,_=map(np.array,zip(*succs[1]))\n", "c=np.append(c,1)\n", "ll=np.sum((np.log(nsa)+nsb)[c]) # somme des logvraisemblances pouvant être modifiées par la modification du temps de 1 (avant modif)\n", "removeV(1,times,succs,nsa,nsb)\n", "addVatT(1,times,2,preds,succs,nsa,nsb)\n", "ll2=np.sum((np.log(nsa)+nsb)[c]) # somme des logvraisemblances pouvant avoir été modifiées par la modification du temps de 1 (après modif)\n", "removeV(1,times,succs,nsa,nsb)\n", "addVatT(1,times,1,preds,succs,nsa,nsb)\n", "ll3=np.sum((np.log(nsa)+nsb)[c]) # somme des logvraisemblances pouvant avoir été modifiées par la modification du temps de 1 (après remise dans l'état initial)\n", "llall=np.sum(np.log(nsa)+nsb) # logvraisemblance globale\n", "print(np.exp(ll),np.exp(ll2),np.exp(ll3),llall)\n", "\n", "c,_,_=map(np.array,zip(*succs[0]))\n", "c=np.append(c,0)\n", "ll=np.sum((np.log(nsa)+nsb)[c])\n", "removeV(0,times,succs,nsa,nsb)\n", "addVatT(0,times,maxT,preds,succs,nsa,nsb)\n", "ll2=np.sum((np.log(nsa)+nsb)[c])\n", "removeV(0,times,succs,nsa,nsb)\n", "addVatT(0,times,0,preds,succs,nsa,nsb)\n", "ll3=np.sum((np.log(nsa)+nsb)[c])\n", "llall=np.sum(np.log(nsa)+nsb)\n", "print(np.exp(ll),np.exp(ll2),np.exp(ll3),llall)\n", "\n", "c,_,_=map(np.array,zip(*succs[5]))\n", "c=np.append(c,5)\n", "ll=np.sum((np.log(nsa)+nsb)[c])\n", "removeV(5,times,succs,nsa,nsb)\n", "addVatT(5,times,1,preds,succs,nsa,nsb)\n", "ll2=np.sum((np.log(nsa)+nsb)[c])\n", "removeV(5,times,succs,nsa,nsb)\n", "addVatT(5,times,maxT,preds,succs,nsa,nsb)\n", "ll3=np.sum((np.log(nsa)+nsb)[c])\n", "llall=np.sum(np.log(nsa)+nsb)\n", "print(np.exp(ll),np.exp(ll2),np.exp(ll3),llall)\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "pBg9T8k2hhmO" }, "source": [ "Vérification : \n", "\n", "\n", "\n", "```\n", "3.830251606174211e-05 8.555487921315824e-05 3.830251606174211e-05 -13.117139892397578\n", "0.14737153555403676 1.0000000000169125e-21 0.14737153555403676 -13.117139892397578\n", "0.5248935341839319 2.999999999999998e-21 0.5248935341839319 -13.117139892397578\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "3isBRUNi3JPA" }, "source": [ "Pour échantillonner pour une variable $i$, il faudra être à même de comparer les vraisemblances selon les différentes affectations. Cela implique de calculer la somme de toutes ces vraisemblances. Mais pour réaliser cette somme, il faudrait que nous sortions de la représentation logarithmique: $\\sum_{t_i} exp(log(p(t_1,\\dots,t_i,\\dots,t_n))$. Si on le fait de cette manière, on risque d'avoir des arrondis à 0 presque partout. Une possibilité (log-sum-exp trick) est d'exploiter la relation suivante: \n", "\n", "$$\\log\\sum_i x_i = x^* + \\log\\left( \\exp(x_1-x^*)+ \\cdots + \\exp(x_n-x^*) \\right)$$\n", "avec $x^* = \\max{\\{x_1, \\dots, x_n\\}}$\n", "\n", "Compléter la méthode logsumexp suivante, qui réalise cette somme en évitant les problèmes numériques: \n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "SZuOJI7B3p0O", "outputId": "dd48b42f-6b96-4121-9a1c-291e8468288f" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[-3.54045945 -0.67334455] [-3.54045945 -0.67334455]\n" ] } ], "source": [ "def logsumexp(x,axis=-1):\n", " #>>>>>>>>>>\n", " # votre code ici\n", " #<<<<<<<<<<\n", " return x\n", " \n", "\n", "#Test: \n", "x=np.array([[0.001,0.02,0.008],[0.1,0.01,0.4]])\n", "r=np.log(np.sum(x,-1))\n", "x=np.log(x)\n", "r2=logsumexp(x)\n", "print(r2,r)\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "0ZpzgRBZhtOm" }, "source": [ "Vérification : \n", "\n", "\n", "```\n", "[-3.54045945 -0.67334455] [-3.54045945 -0.67334455]\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "oqVI0e9T85x-" }, "source": [ "On souhaite maintenant mettre en place une méthode $sampleV(v,times,newt,preds,succs,sa,sb,k,k2)$ qui sample un nouveau temps d'infection pour le noeud $v$, connaissant les temps de tous les autres noeuds dans $times$ (ainsi que leurs valeurs $a$ et $b$ correspondantes contenues dans sa et sb). Puisque le domaine de support de $t_v$ est continu, on doit faire quelques approximations en se basant sur une discrétisation des valeurs possibles:\n", "\n", "1. On découpe la plage de temps $[0;maxT]$ en $k$ bins réguliers. Dans chaque bin $i$, on échantillonne uniformément un temps, pour obtenir $k$ points $d_1,\\dots,d_k$. Si $t_v < maxT$, on ajoute $t_v$ à cet ensemble de points pour gagner en stabilité (inséré dans la liste de manière à conserver l'ordre croissant). \n", "2. On considère chaque point $d_i$ comme le prototype d'un bin $[(d_i+d_{i-1})/2,(d_i+d_{i+1})/2]$. Pour $d_1$ on prend $[0,(d_1+d_2)/2]$ et pour $d_k$ on prend $[(d_k+d_{k-1})/2,maxT]$. On fait l'hypothèse que la densité de probabilité est constante sur l'ensemble de chaque bin $i$, que l'on évalue en $t_v=d_i$. La probabilité que l'on échantillonne dans le bin $i$ est alors égale à: $p(t_v \\in bin_i | \\{t_u\\}_{ u \\in V\\setminus v}) = \\frac{z_i \\times l_i}{\\sum_j z_j \\times l_j + z_{maxT}}$, avec $z_i$ la vraisemblance calculée selon $t_v =d_i$, $l_i$ la taille du bin $i$ et $z_{maxT}$ la vraisemblance calculée pour $t_v=maxT$. La probabilité que $v$ ne soit pas infecté dans la diffusion est alors donnée par : $p(t_v = maxT | \\{t_u\\}_{ u \\in V\\setminus v}) = \\frac{z_{maxT}}{\\sum_j z_j \\times l_j + z_{maxT}}$.\n", "3. On échantillonne une variable $x$ proportionnellement aux probabilités calculées à l'étape précédente. Si $x$ ne correspond pas à $maxT$, $v$ est alors infecté à un temps inclus dans l'intervale du bin correspondant à $x$. Il s'agit alors de re-échantillonner $k2$ points uniformément dans ce bin et de calculer les densités en ces points (pour gagner en stabilité on ajoute le prototype du bin $d_i$). Le nouveau temps de $v$ est alors échantillonné proportionnellement à ces densités.\n", "\n", "Le code de la méthode de sampling est donné ci-dessous:\n", "\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "K3QmBCRbhkLM" }, "outputs": [], "source": [ "np.random.seed(0)\n", "\n", "\n", "\n", "def getLL(v,times,nt,preds,succs,sa,sb,onUsers=None):\n", " sa=np.copy(sa)\n", " sb=np.copy(sb)\n", " if onUsers is None:\n", " onUsers=range(len(times))\n", " addVatT(v,times,nt,preds,succs,sa,sb)\n", " times[v]=-1\n", " ll=np.sum((np.log(sa)+sb)[onUsers])\n", " return (ll,sa,sb)\n", "\n", " \n", "def sampleV(v,times,preds,succs,sa,sb,k,k2):\n", " \n", " nbCandidateT=k\n", " bounds=np.linspace(0,maxT,nbCandidateT)\n", " newt=np.random.uniform(bounds[:-1],bounds[1:])\n", " \n", " if times[v]0: \n", " bi=(newt[i]+newt[i-1])/2.0\n", " else:\n", " bi=0\n", " if i<(len(p)-2): \n", " bs=(newt[i]+newt[i+1])/2.0\n", " else:\n", " bs=maxT\n", " bounds=np.linspace(bi,bs,k2)\n", " newt=np.concatenate(([newt[i]],np.random.uniform(bounds[:-1],bounds[1:])))\n", " lls=[getLL(v,times,nt,preds,succs,nsa,nsb,onUsers=c) for nt in newt]\n", " ll,la,lb=zip(*lls)\n", " ll=np.array(ll)\n", " p=np.exp(ll-logsumexp(ll))\n", " \n", " i=np.random.choice(range(len(p)),1,p=p).sum()\n", " \n", " times[v]=newt[i]\n", " np.copyto(sa,np.array(la[i]))\n", " np.copyto(sb,np.array(lb[i]))\n", " \n", " \n", "times=np.array([maxT]*nbNodes,dtype=float)\n", "times[0]=0\n", "times[1]=1\n", "times[2]=4\n", "np.random.seed(0)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "sampleV(5,times,preds,succs,sa,sb,10,10)\n", "print(times)\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "0RMM_c2siHez" }, "source": [ "Vérification : \n", "\n", "\n", "\n", "```\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "[ 0. 1. 4. 10. 10. 4.20931617\n", " 10. 10. 10. 10. 10. ]\n", "[ 0. 1. 4. 10. 10. 10. 10. 10. 10. 10. 10.]\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "UCdSA3NF8CrE" }, "source": [ "Compléter la méthode de Gibbs Sampling $gb$ ci-dessous, avec $k$ le nombre de bins à utiliser et $k2$ le nombre de points à échantillonner dans le bin choisi. Le paramètre $ref$ correspond à un vecteur de probabilités marginales de référence (par exemple obtenu par MonteCarlo lorsque c'est possible) avec lequel on peut afficher la distance MSE au fur et à mesure du processus." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "xsnQHVcdjfVT", "outputId": "8c274aa7-e425-4ed7-d3a6-a114a85988b8" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:24: RuntimeWarning: invalid value encountered in true_divide\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "0 burnin time MSE = nan ll= -1.5059712919558215\n", "100 burnin time MSE = nan ll= -7.381143314828148\n", "200 [1. 1. 0.36 0.52 0.35 0.27 0.22 0.23 0.68 0.7 0.71] MSE = 0.36027417349999996 ll= -3.8462136757759953\n", "300 [1. 0.885 0.18 0.385 0.175 0.135 0.17 0.12 0.64 0.58 0.585] MSE = 0.11731427349999997 ll= -2.69669742185636\n", "400 [1. 0.92333333 0.21666667 0.44333333 0.21 0.12666667\n", " 0.18 0.10666667 0.69666667 0.61666667 0.63666667] MSE = 0.16623972905555562 ll= -5.739816925002599\n", "500 [1. 0.9425 0.27 0.5 0.2525 0.15 0.18 0.1225 0.7175 0.625\n", " 0.6475] MSE = 0.1910060235 ll= -9.270941026251146\n", "600 [1. 0.922 0.234 0.472 0.212 0.12 0.184 0.102 0.71 0.536 0.554] MSE = 0.09894421350000003 ll= -1.5059712919558215\n", "700 [1. 0.93 0.30833333 0.51833333 0.28166667 0.16166667\n", " 0.17833333 0.12833333 0.725 0.555 0.57333333] MSE = 0.1318699512777778 ll= -5.897260014104039\n", "800 [1. 0.94 0.34285714 0.54428571 0.31285714 0.18857143\n", " 0.18 0.15285714 0.73714286 0.57142857 0.59142857] MSE = 0.1718543163571428 ll= -9.949543078260797\n", "900 [1. 0.92375 0.32875 0.53125 0.3 0.17125 0.18375 0.145 0.72875\n", " 0.52625 0.545 ] MSE = 0.120584511 ll= -6.21466070252516\n", "1000 [1. 0.92555556 0.32333333 0.52444444 0.29111111 0.16555556\n", " 0.18222222 0.14111111 0.73555556 0.53333333 0.55222222] MSE = 0.12365362041358023 ll= -10.037276452791051\n", "1100 [1. 0.926 0.363 0.549 0.329 0.166 0.188 0.138 0.726 0.522 0.545] MSE = 0.13240755350000005 ll= -6.0416685240736205\n", "1200 [1. 0.89636364 0.34909091 0.53181818 0.31545455 0.15363636\n", " 0.18 0.12636364 0.70181818 0.47818182 0.5 ] MSE = 0.0823460660619835 ll= -1.5059712919558215\n", "1300 [1. 0.845 0.32 0.495 0.28916667 0.14083333\n", " 0.16583333 0.11583333 0.65833333 0.4425 0.465 ] MSE = 0.03490189572222222 ll= -1.5059712919558215\n", "1400 [1. 0.83230769 0.3 0.47846154 0.27 0.13307692\n", " 0.16384615 0.11 0.64307692 0.42384615 0.44538462] MSE = 0.019736257523668643 ll= -5.342094254304126\n", "1500 [1. 0.82071429 0.31571429 0.48142857 0.28285714 0.14071429\n", " 0.16 0.11642857 0.63285714 0.415 0.43357143] MSE = 0.018799810234693883 ll= -12.044504729779337\n", "1600 [1. 0.832 0.32133333 0.48933333 0.286 0.14466667\n", " 0.16133333 0.11933333 0.642 0.42333333 0.44133333] MSE = 0.02479167127777778 ll= -8.753128448177945\n", "1700 [1. 0.811875 0.3075 0.47125 0.2725 0.135625 0.156875 0.111875\n", " 0.62125 0.41125 0.42875 ] MSE = 0.013219811000000003 ll= -7.445160135933296\n", "1800 [1. 0.79705882 0.30411765 0.46411765 0.26941176 0.13882353\n", " 0.15529412 0.11470588 0.61 0.40294118 0.42117647] MSE = 0.00970202471107267 ll= -1.5059712919558215\n", "1900 [1. 0.775 0.30333333 0.45277778 0.27 0.13111111\n", " 0.15 0.10833333 0.59166667 0.38333333 0.40444444] MSE = 0.005491066092592595 ll= -1.5059712919558215\n", "2000 [1. 0.76263158 0.28947368 0.44315789 0.25684211 0.12578947\n", " 0.14789474 0.10368421 0.57789474 0.37 0.39578947] MSE = 0.002639446630193904 ll= -5.192558212548602\n", "2100 [1. 0.7745 0.2875 0.4485 0.253 0.128 0.1505 0.1055 0.5895 0.3815\n", " 0.407 ] MSE = 0.0029413834999999977 ll= -11.056790470407293\n", "2200 [1. 0.78333333 0.3 0.46095238 0.26571429 0.13857143\n", " 0.15238095 0.11428571 0.59761905 0.39238095 0.41761905] MSE = 0.007019080982993197 ll= -13.30517956700615\n", "2300 [1. 0.78272727 0.29954545 0.45772727 0.26545455 0.14090909\n", " 0.15272727 0.11636364 0.59772727 0.39090909 0.41409091] MSE = 0.00679782308677686 ll= -6.309347030478309\n", "2400 [1. 0.78913043 0.29130435 0.45565217 0.2573913 0.13695652\n", " 0.15434783 0.11347826 0.6026087 0.40434783 0.42695652] MSE = 0.007420941363894138 ll= -9.007464736920936\n", "2500 [1. 0.78041667 0.28375 0.45 0.25083333 0.13125\n", " 0.15208333 0.10875 0.59791667 0.39166667 0.415 ] MSE = 0.003977295722222221 ll= -7.38091480194502\n", "2600 [1. 0.7764 0.274 0.4452 0.242 0.126 0.1528 0.1056 0.596 0.3924\n", " 0.4148] MSE = 0.002907365500000001 ll= -5.953116909714511\n", "2700 [1. 0.78346154 0.27115385 0.44576923 0.23961538 0.12153846\n", " 0.15269231 0.10153846 0.60346154 0.39961538 0.42230769] MSE = 0.003815064624260354 ll= -3.4582726736292786\n", "2800 [1. 0.79148148 0.29296296 0.46148148 0.26111111 0.12962963\n", " 0.15333333 0.1062963 0.60925926 0.40296296 0.42666667] MSE = 0.007480425900548701 ll= -9.50848881938665\n", "2900 [1. 0.78321429 0.28392857 0.45392857 0.25285714 0.125\n", " 0.15321429 0.1025 0.60285714 0.39714286 0.42142857] MSE = 0.004687070438775508 ll= -5.8785646042971464\n", "3000 [1. 0.78275862 0.27896552 0.45206897 0.24827586 0.12137931\n", " 0.15310345 0.09896552 0.6037931 0.39517241 0.42068966] MSE = 0.003887776353745543 ll= -7.569903287470238\n", "3100 [1. 0.78866667 0.278 0.45433333 0.24733333 0.12\n", " 0.15733333 0.099 0.60933333 0.39933333 0.42266667] MSE = 0.004652071277777775 ll= -4.270581595807199\n", "3200 [1. 0.79387097 0.28806452 0.46322581 0.25741935 0.12580645\n", " 0.15645161 0.10290323 0.61290323 0.4083871 0.43193548] MSE = 0.0080051449880333 ll= -1.5059712919558215\n", "3300 [1. 0.78875 0.280625 0.4565625 0.2503125 0.121875 0.1534375\n", " 0.0996875 0.60625 0.4034375 0.4278125] MSE = 0.005567796937499996 ll= -1.5059712919558215\n", "3400 [1. 0.79060606 0.28454545 0.46030303 0.25393939 0.12181818\n", " 0.15363636 0.09969697 0.60727273 0.39848485 0.4230303 ] MSE = 0.005341004353994496 ll= -7.922013350224065\n", "3500 [1. 0.79029412 0.27617647 0.45852941 0.24647059 0.11823529\n", " 0.15235294 0.09676471 0.60794118 0.39264706 0.41617647] MSE = 0.0036196755761245675 ll= -7.245608497431301\n", "3600 [1. 0.79371429 0.26971429 0.45714286 0.24 0.116\n", " 0.15314286 0.096 0.60942857 0.39085714 0.41485714] MSE = 0.003156962071428572 ll= -7.988094452031572\n", "3700 [1. 0.78972222 0.2625 0.45138889 0.23333333 0.11277778\n", " 0.15138889 0.09333333 0.60694444 0.3825 0.40583333] MSE = 0.0016475722654320972 ll= -1.5059712919558215\n", "3800 [1. 0.79054054 0.26081081 0.45162162 0.23081081 0.11324324\n", " 0.15243243 0.09351351 0.60837838 0.38594595 0.40864865] MSE = 0.0020029571376917465 ll= -1.5059712919558215\n", "3900 [1. 0.78605263 0.26657895 0.45342105 0.23605263 0.11684211\n", " 0.155 0.09631579 0.60526316 0.38078947 0.40368421] MSE = 0.001527203139889196 ll= -10.405023756910944\n", "4000 [1. 0.78794872 0.26666667 0.45358974 0.23641026 0.11589744\n", " 0.15871795 0.09641026 0.60692308 0.37948718 0.40179487] MSE = 0.0015565675828402336 ll= -6.949668990750581\n", "4100 [1. 0.79325 0.275 0.462 0.2445 0.122 0.1595 0.1005 0.6125\n", " 0.384 0.40475] MSE = 0.0030847335000000055 ll= -6.075981081173353\n", "4200 [1. 0.79512195 0.27170732 0.46195122 0.24146341 0.11926829\n", " 0.16 0.09829268 0.61170732 0.38682927 0.4095122 ] MSE = 0.0031828357248661534 ll= -14.425294880218816\n", "4300 [1. 0.79547619 0.27095238 0.46285714 0.24119048 0.11880952\n", " 0.15904762 0.09761905 0.61047619 0.3852381 0.40928571] MSE = 0.003012974633786849 ll= -7.046000589047923\n", "4400 [1. 0.78837209 0.26511628 0.45581395 0.23581395 0.11604651\n", " 0.1572093 0.09534884 0.60372093 0.37744186 0.40139535] MSE = 0.001337349919686318 ll= -3.9393938194522087\n", "4500 [1. 0.78795455 0.25909091 0.45340909 0.23045455 0.11340909\n", " 0.15568182 0.09318182 0.60454545 0.37909091 0.40227273] MSE = 0.0012484668884297514 ll= -6.0266215634137215\n", "4600 [1. 0.78977778 0.26822222 0.45933333 0.23888889 0.11755556\n", " 0.15622222 0.09555556 0.60622222 0.37711111 0.40088889] MSE = 0.001651020907407409 ll= -1.5059712919558215\n", "4700 [1. 0.79304348 0.27695652 0.46608696 0.24630435 0.12\n", " 0.15673913 0.09782609 0.60913043 0.38043478 0.40434783] MSE = 0.002899259322306237 ll= -6.845412132238737\n", "4800 [1. 0.79382979 0.28446809 0.4706383 0.25425532 0.12723404\n", " 0.15702128 0.10234043 0.60808511 0.37893617 0.40297872] MSE = 0.0039507281401086475 ll= -1.5059712919558215\n", "4900 [1. 0.78979167 0.27854167 0.46541667 0.24895833 0.12458333\n", " 0.155625 0.10020833 0.60604167 0.376875 0.400625 ] MSE = 0.002679222111111115 ll= -5.096362297967463\n", "5000 [1. 0.78530612 0.27653061 0.46204082 0.24693878 0.12326531\n", " 0.1544898 0.09897959 0.60122449 0.37428571 0.3977551 ] MSE = 0.0018946119839650128 ll= -1.5059712919558215\n", "5100 [1. 0.7858 0.2714 0.4576 0.2424 0.1208 0.1546 0.0972 0.603 0.3754\n", " 0.3982] MSE = 0.0014780895000000007 ll= -8.246745541294466\n", "5200 [1. 0.7854902 0.26960784 0.45607843 0.23980392 0.11882353\n", " 0.15529412 0.09588235 0.60372549 0.37470588 0.3972549 ] MSE = 0.0012604371678200709 ll= -1.5059712919558215\n", "5300 [1. 0.78615385 0.26884615 0.45634615 0.23903846 0.11692308\n", " 0.15519231 0.09442308 0.60461538 0.37115385 0.39403846] MSE = 0.001080140955621306 ll= -10.271198853404512\n", "5400 [1. 0.79018868 0.28264151 0.46603774 0.25113208 0.12584906\n", " 0.15716981 0.10056604 0.60679245 0.3709434 0.39320755] MSE = 0.0027558782347810633 ll= -8.961757542327563\n", "5500 [1. 0.79407407 0.29277778 0.47277778 0.26092593 0.12944444\n", " 0.15796296 0.10277778 0.60981481 0.37314815 0.39555556] MSE = 0.004760903815500691 ll= -10.614572769539622\n", "5600 [1. 0.79690909 0.28836364 0.47109091 0.25672727 0.12709091\n", " 0.15872727 0.10090909 0.61290909 0.378 0.40018182] MSE = 0.004544983417355378 ll= -5.788377869977944\n", "5700 [1. 0.79160714 0.28321429 0.46482143 0.25214286 0.12482143\n", " 0.15732143 0.09910714 0.60857143 0.37464286 0.39642857] MSE = 0.0029928033469387746 ll= -5.467562063708557\n", "5800 [1. 0.79315789 0.28175439 0.46438596 0.25070175 0.1245614\n", " 0.15842105 0.09929825 0.60912281 0.37649123 0.39982456] MSE = 0.0030670564793782674 ll= -6.248001459141323\n", "5900 [1. 0.79534483 0.28465517 0.46724138 0.25293103 0.12482759\n", " 0.15931034 0.09948276 0.61137931 0.38051724 0.40327586] MSE = 0.003909086460761006 ll= -10.285560521502404\n", "6000 [1. 0.79542373 0.28610169 0.46847458 0.25355932 0.12423729\n", " 0.15915254 0.09949153 0.61033898 0.37966102 0.4020339 ] MSE = 0.003934172235995401 ll= -4.408043401587129\n", "6100 [1. 0.798 0.28266667 0.468 0.25033333 0.12266667\n", " 0.159 0.09866667 0.61116667 0.383 0.40566667] MSE = 0.0039482201666666715 ll= -6.015602150614988\n", "6200 [1. 0.80032787 0.28114754 0.46885246 0.24901639 0.12131148\n", " 0.16114754 0.09786885 0.61278689 0.3842623 0.40721311] MSE = 0.004169748291722654 ll= -5.201119766870883\n", "6300 [1. 0.80048387 0.27741935 0.46709677 0.24564516 0.11935484\n", " 0.16193548 0.09677419 0.6133871 0.38483871 0.4083871 ] MSE = 0.0038860029484911584 ll= -4.678977836767257\n", "6400 [1. 0.79920635 0.2747619 0.46492063 0.2431746 0.11777778\n", " 0.16190476 0.09587302 0.61047619 0.38333333 0.40714286] MSE = 0.0032431455836482797 ll= -6.379269283957733\n", "6500 [1. 0.79875 0.27265625 0.4634375 0.24125 0.11609375\n", " 0.1615625 0.094375 0.610625 0.3825 0.4059375 ] MSE = 0.0029217059218749983 ll= -1.5059712919558215\n", "6600 [1. 0.79923077 0.27646154 0.46630769 0.24538462 0.11661538\n", " 0.16061538 0.09415385 0.61076923 0.38646154 0.40953846] MSE = 0.0036492411923076894 ll= -6.455659093646246\n", "6700 [1. 0.8 0.27621212 0.46666667 0.24515152 0.11651515\n", " 0.16090909 0.09363636 0.61181818 0.38560606 0.40878788] MSE = 0.003658437136363641 ll= -1.5059712919558215\n", "6800 [1. 0.79641791 0.27447761 0.46477612 0.24358209 0.1158209\n", " 0.15985075 0.09313433 0.60940299 0.38447761 0.40791045] MSE = 0.003064155544998888 ll= -5.229571679552071\n", "6900 [1. 0.79926471 0.28102941 0.46970588 0.25014706 0.12014706\n", " 0.16029412 0.09647059 0.61088235 0.38735294 0.41102941] MSE = 0.004378930247404843 ll= -10.814711564478023\n", "7000 [1. 0.80217391 0.28884058 0.47478261 0.25753623 0.12594203\n", " 0.16101449 0.10028986 0.61376812 0.39057971 0.41405797] MSE = 0.006316534600609121 ll= -11.99043658128565\n", "7100 [1. 0.803 0.28828571 0.47428571 0.257 0.12657143\n", " 0.16157143 0.10085714 0.614 0.389 0.41214286] MSE = 0.006123996357142865 ll= -5.362395243091537\n", "7200 [1. 0.80309859 0.28633803 0.47352113 0.25521127 0.12661972\n", " 0.16169014 0.10084507 0.61521127 0.38802817 0.41070423] MSE = 0.005817543624975203 ll= -1.5059712919558215\n", "7300 [1. 0.80097222 0.28236111 0.47097222 0.25166667 0.12486111\n", " 0.16097222 0.09958333 0.61416667 0.38555556 0.40763889] MSE = 0.004752774271604936 ll= -5.616512318807186\n", "7400 [1. 0.80356164 0.28109589 0.47082192 0.25027397 0.12356164\n", " 0.16123288 0.09835616 0.61643836 0.38506849 0.40643836] MSE = 0.004766413732689063 ll= -6.195931387437044\n", "7500 [1. 0.80391892 0.28351351 0.47283784 0.25243243 0.125\n", " 0.16135135 0.09905405 0.61621622 0.3827027 0.40378378] MSE = 0.004935846399926951 ll= -1.5059712919558215\n", "7600 [1. 0.80333333 0.28333333 0.47266667 0.25253333 0.12413333\n", " 0.16146667 0.09813333 0.6148 0.38093333 0.40213333] MSE = 0.004632794833333338 ll= -6.237788890445319\n", "7700 [1. 0.80355263 0.28131579 0.47144737 0.25065789 0.12355263\n", " 0.16171053 0.09763158 0.61552632 0.38263158 0.40368421] MSE = 0.004545891090027704 ll= -3.842647402590311\n", "7800 [1. 0.80532468 0.27948052 0.47116883 0.24922078 0.12298701\n", " 0.16246753 0.09818182 0.61597403 0.38428571 0.40493506] MSE = 0.004651005916933718 ll= -3.560350464321758\n", "7900 [1. 0.80730769 0.27602564 0.46974359 0.24602564 0.12141026\n", " 0.16307692 0.09705128 0.61589744 0.38333333 0.40538462] MSE = 0.004369935498685081 ll= -6.109514054097119\n", "8000 [1. 0.80810127 0.28075949 0.47253165 0.25050633 0.12278481\n", " 0.16341772 0.09810127 0.61632911 0.38151899 0.40379747] MSE = 0.004874488577711911 ll= -10.544964083480668\n", "8100 [1. 0.807375 0.285625 0.47475 0.25525 0.12575 0.163125 0.10075\n", " 0.615875 0.381375 0.4035 ] MSE = 0.005508921624999997 ll= -1.5059712919558215\n", "8200 [1. 0.80790123 0.28234568 0.47345679 0.25209877 0.12419753\n", " 0.16382716 0.09950617 0.61753086 0.38259259 0.40419753] MSE = 0.005267209622542298 ll= -5.481708946816574\n", "8300 [1. 0.80792683 0.285 0.47585366 0.255 0.12536585\n", " 0.16365854 0.1 0.61756098 0.38170732 0.40341463] MSE = 0.005664379091909581 ll= -5.326814901329235\n", "8400 [1. 0.80819277 0.2839759 0.47626506 0.25361446 0.12385542\n", " 0.16373494 0.09903614 0.61771084 0.38084337 0.4026506 ] MSE = 0.005471302226956028 ll= -5.1464610217028435\n", "8500 [1. 0.80690476 0.28059524 0.47369048 0.25059524 0.12238095\n", " 0.16261905 0.09797619 0.61642857 0.37821429 0.40011905] MSE = 0.004586935858276649 ll= -1.5059712919558215\n", "8600 [1. 0.80352941 0.27729412 0.47047059 0.24764706 0.12094118\n", " 0.162 0.09694118 0.61388235 0.37611765 0.39776471] MSE = 0.0036102774446366832 ll= -1.5059712919558215\n", "8700 [1. 0.8044186 0.28151163 0.4727907 0.25151163 0.12337209\n", " 0.16290698 0.09895349 0.61453488 0.37581395 0.39732558] MSE = 0.004250561818009738 ll= -5.803952737260037\n", "8800 [1. 0.80356322 0.28045977 0.47103448 0.25045977 0.12241379\n", " 0.16298851 0.09816092 0.61517241 0.37367816 0.39505747] MSE = 0.0039021864739727883 ll= -8.822976865899959\n", "8900 [1. 0.79852273 0.27727273 0.4675 0.24761364 0.12102273\n", " 0.16215909 0.09727273 0.61125 0.37136364 0.39261364] MSE = 0.002851091888429751 ll= -3.663257709503745\n", "9000 [1. 0.79640449 0.2741573 0.4652809 0.24483146 0.11966292\n", " 0.16134831 0.09640449 0.60921348 0.3694382 0.39022472] MSE = 0.002235531106362833 ll= -7.972004223478259\n", "9100 [1. 0.79766667 0.27144444 0.46422222 0.24222222 0.11833333\n", " 0.16144444 0.09544444 0.61044444 0.37066667 0.39133333] MSE = 0.002153235722222221 ll= -6.387746884017506\n", "9200 [1. 0.79318681 0.27054945 0.46164835 0.24142857 0.11747253\n", " 0.15978022 0.09461538 0.60637363 0.36791209 0.38824176] MSE = 0.001529152802016665 ll= -1.5059712919558215\n", "9300 [1. 0.78934783 0.26869565 0.4598913 0.23978261 0.11673913\n", " 0.15869565 0.09402174 0.60326087 0.3651087 0.38532609] MSE = 0.0010809631030245773 ll= -9.767128305776364\n", "9400 [1. 0.78741935 0.26698925 0.45806452 0.23827957 0.11580645\n", " 0.1583871 0.09301075 0.60139785 0.36516129 0.38505376] MSE = 0.0008333117818823018 ll= -5.150170091517166\n", "9500 [1. 0.78968085 0.26468085 0.45755319 0.23585106 0.11457447\n", " 0.15946809 0.09244681 0.60361702 0.36925532 0.38914894] MSE = 0.0009470350210502506 ll= -4.837862458445633\n", "9600 [1. 0.79147368 0.26252632 0.45726316 0.234 0.11336842\n", " 0.16010526 0.09178947 0.60589474 0.37221053 0.39178947] MSE = 0.0011192960484764556 ll= -4.84407208093268\n", "9700 [1. 0.791875 0.26177083 0.456875 0.233125 0.11322917\n", " 0.160625 0.09239583 0.60583333 0.37052083 0.39020833] MSE = 0.0010621422500000008 ll= -7.1848289633265665\n", "9800 [1. 0.79268041 0.26319588 0.45731959 0.2343299 0.11350515\n", " 0.16030928 0.09206186 0.60608247 0.37164948 0.39113402] MSE = 0.001162767463226703 ll= -12.059323920052245\n", "9900 [1. 0.79418367 0.26520408 0.45877551 0.23663265 0.11479592\n", " 0.16071429 0.09285714 0.60744898 0.37479592 0.39469388] MSE = 0.0015200373067471924 ll= -5.978449316943783\n", "[1. 0.79418367 0.26520408 0.45877551 0.23663265 0.11479592\n", " 0.16071429 0.09285714 0.60744898 0.37479592 0.39469388]\n" ] } ], "source": [ "\n", "np.random.seed(1)\n", "def gb(graph,infections,burnin=1000,nbEpochs=10000,k=100,k2=50, ref=None):\n", " #>>>>>>>>>>>>>>>>>>>>>>>\n", " # votre code ici\n", " #>>>>>>>>>>>>>>>>>>>>>>>>>>\n", " return rate\n", "\n", "# On teste ici avec seulement des sources (i.e., des infectés au temps 0), car cela permet de comparer à la ref MonteCarlo (mais il faudrait aussi tester avec d'autres infectés : c'est l'objectif). \n", "ref=getProbaMC(graph,[0]) \n", "rate=gb(graph,[(0,0)],burnin=100,ref=ref)\n", "print(rate)\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "Iqx6CQ4vQ8rr" }, "source": [ "# Partie optionnelle\n", "\n", "L'algorithme de Metropolis-Hasting est une autre méthode de type MCMC qui utilise une distribution d'échantillonnage pour se déplacer dans l'espace des points considérés. Il s'agit de définir une distribution $q(y_{t+1}|x_t)$ de laquelle on sait générer un déplacement. L'algorithme procéde alors de la manière suivante: \n", "\n", "\n", "1. Générer $y_{t+1}$ selon $q(y_{t+1}|x_t)$ \n", "2. Calculer la probabilité d’acceptation $\\alpha(x_t,y_{t+1})=\\min\\left\\{\\frac{\\pi(y_{t+1})q(x_t|y_{t+1})}{\\pi(x_t)q(y_{t+1}|x_t)},1\\right\\} \\,\\!, \\text{ avec } \\pi(x_t) \\text{ la densité de probabilité de } x_t$\n", "3. Prendre $x_{t+1}=\\begin{cases} y_{t+1}, & \\text{avec probabilité}\\,\\,\\alpha \\\\ x_t, & \\text{avec probabilité}\\,\\,1-\\alpha \\end{cases}$\n", "\n", "\n", "\n", "Dans notre cas, on propose de travailler avec des déplacements correspondants à des permutations d'un temps d'infection à chaque itération, comme dans le cadre du Gibbs Sampling. A chaque étape on choisit donc une variable à modifier, on choisit un nouveau temps pour cette variable et on calcule la densité correspondante. La probabilité d'acceptation est ensuite calculée selon cette densité et la probabilité du déplacement selon la distribution $q$ qui a servi à générer le nouveau temps d'infection. On se propose de choisir $maxT$ avec une probabilité de 0.1. La probabilité $q(t_v|t)$ pour $t< maxT$ est alors égale à $0.9\\times \\frac{1}{maxT}$.\n", "\n", "Implémenter l'approche d'échantillonnage par Metropolis-Hasting pour notre problème d'estimation de probabilités marginales d'infection. " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "TGoHITZmGxg-", "outputId": "e463281e-3ce0-4bba-c8b3-c2b44fbf8f7c" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:63: RuntimeWarning: invalid value encountered in true_divide\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1;30;43mLe flux de sortie a été tronqué et ne contient que les 5000 dernières lignes.\u001b[0m\n", "750100 [1. 0.78734667 0.25329467 0.44838533 0.22669467 0.109256\n", " 0.15549333 0.0918 0.597508 0.38073467 0.407776 ] MSE = 0.000792991198666667 ll= -6.52116169879763\n", "750200 [1. 0.78737502 0.25327156 0.44839221 0.22666444 0.10924143\n", " 0.15551393 0.09178776 0.59752566 0.38070257 0.40774963] MSE = 0.0007924785332337875 ll= -5.510314269252692\n", "750300 [1. 0.78740336 0.2532378 0.44838976 0.22663423 0.10922687\n", " 0.15555185 0.09181152 0.59754999 0.38065849 0.40770994] MSE = 0.0007913582409821914 ll= -4.153318710319594\n", "750400 [1. 0.78743169 0.25320405 0.44838731 0.22660403 0.10921232\n", " 0.15555111 0.09179928 0.59756897 0.38073704 0.40778888] MSE = 0.0007983086817856151 ll= -4.543441405461936\n", "750500 [1. 0.78746002 0.25317031 0.44837287 0.22657383 0.10919776\n", " 0.15555437 0.09178705 0.59761461 0.3808089 0.40786247] MSE = 0.0008052674542774617 ll= -8.626328991947064\n", "750600 [1. 0.78738441 0.25313658 0.44832512 0.22654364 0.10918321\n", " 0.15553364 0.09177482 0.59754963 0.38075816 0.40780813] MSE = 0.0007999713751026737 ll= -1.5059712919558215\n", "750700 [1. 0.78731148 0.25310285 0.4482907 0.22651346 0.10916867\n", " 0.15551292 0.09176259 0.59748468 0.38070743 0.4077538 ] MSE = 0.0007948000404330092 ll= -5.099471458957009\n", "750800 [1. 0.78733982 0.25306914 0.44826695 0.22648328 0.10915412\n", " 0.15556014 0.09176502 0.59752897 0.38067137 0.40769948] MSE = 0.0007936757879743359 ll= -10.691372517121264\n", "750900 [1. 0.78736814 0.25303543 0.44821923 0.22645312 0.10913958\n", " 0.15559803 0.09175413 0.59756393 0.38062467 0.40764518] MSE = 0.0007920112184859821 ll= -6.690544675390665\n", "751000 [1. 0.78732188 0.25300173 0.44817552 0.22642296 0.10912505\n", " 0.15558663 0.09174191 0.59752697 0.38057398 0.40759089] MSE = 0.000787777647603162 ll= -1.5059712919558215\n", "751100 [1. 0.78721704 0.25296804 0.44811585 0.22639281 0.10911052\n", " 0.15556591 0.09172969 0.5974474 0.3805233 0.40753662] MSE = 0.000781852563909814 ll= -1.5059712919558215\n", "751200 [1. 0.78711224 0.25293436 0.44805618 0.22636267 0.10909599\n", " 0.1555452 0.09171748 0.59736786 0.38047264 0.40748236] MSE = 0.0007759874937536989 ll= -1.5059712919558215\n", "751300 [1. 0.78704073 0.25290069 0.44799654 0.22633253 0.10908147\n", " 0.15552449 0.09170527 0.59732162 0.3804353 0.40744542] MSE = 0.0007722790386462375 ll= -5.949153885641635\n", "751400 [1. 0.78706908 0.25291628 0.44801012 0.226349 0.10906695\n", " 0.15550512 0.09169307 0.59735259 0.38051777 0.40752429] MSE = 0.0007783138473893378 ll= -5.752670474120386\n", "751500 [1. 0.78709742 0.2530157 0.44808358 0.22645196 0.10906441\n", " 0.15553367 0.09168086 0.59738754 0.38050972 0.40752063] MSE = 0.0007766673476661167 ll= -7.794870160119083\n", "751600 [1. 0.78712575 0.2531151 0.44815702 0.22655489 0.10912974\n", " 0.15552894 0.09167798 0.5974185 0.38048303 0.40749035] MSE = 0.0007731761353670121 ll= -11.45504889074541\n", "751700 [1. 0.78715407 0.25321448 0.44823044 0.2266578 0.1091711\n", " 0.15555881 0.09169372 0.59745742 0.38056147 0.40755854] MSE = 0.0007768344441436248 ll= -7.295991144811044\n", "751800 [1. 0.78718239 0.25331382 0.44828522 0.22675535 0.10918718\n", " 0.15553811 0.09169349 0.597499 0.38059332 0.40757882] MSE = 0.0007774847655138137 ll= -14.906894869343487\n", "751900 [1. 0.78720537 0.2533054 0.44828279 0.22672519 0.10918994\n", " 0.15554802 0.0916813 0.59753259 0.38061453 0.40759511] MSE = 0.0007800727292358559 ll= -1.5059712919558215\n", "752000 [1. 0.78712196 0.25327171 0.44823381 0.22669504 0.10917542\n", " 0.15552733 0.0916691 0.59746243 0.3805639 0.4075409 ] MSE = 0.0007746588826424868 ll= -1.5059712919558215\n", "752100 [1. 0.78708511 0.25323803 0.44819415 0.22666489 0.1091609\n", " 0.15552793 0.09166223 0.59742819 0.3805133 0.4074867 ] MSE = 0.0007706719807124251 ll= -5.812433156827683\n", "752200 [1. 0.78703497 0.25320436 0.44813988 0.22663476 0.10914639\n", " 0.15550725 0.09165005 0.59737535 0.3804627 0.40743252] MSE = 0.0007661490852102727 ll= -1.5059712919558215\n", "752300 [1. 0.78693034 0.2531707 0.4480803 0.22660463 0.10913188\n", " 0.15548657 0.09163786 0.59729593 0.38041212 0.40737836] MSE = 0.0007603315819003369 ll= -1.5059712919558215\n", "752400 [1. 0.78692011 0.25313705 0.44805131 0.2265745 0.10911737\n", " 0.1554659 0.09162568 0.59729496 0.38036156 0.40732421] MSE = 0.0007573850823145993 ll= -1.5059712919558215\n", "752500 [1. 0.78681552 0.2531034 0.44799176 0.22654439 0.10910287\n", " 0.15544524 0.0916135 0.59721558 0.380311 0.40727007] MSE = 0.000751650872433364 ll= -1.5059712919558215\n", "752600 [1. 0.78679468 0.25306977 0.44794684 0.22651429 0.10908837\n", " 0.15545914 0.09160133 0.5971907 0.38029635 0.40724252] MSE = 0.0007502526494597173 ll= -5.959401361129837\n", "752700 [1. 0.78679777 0.25303614 0.44794712 0.22648419 0.10907388\n", " 0.15545708 0.09158916 0.59714589 0.38027505 0.40721632] MSE = 0.0007488834297268126 ll= -1.5059712919558215\n", "752800 [1. 0.78672512 0.25300252 0.44789956 0.2264541 0.10905939\n", " 0.15543643 0.09157699 0.5970825 0.38022453 0.40716222] MSE = 0.000744024868377269 ll= -8.69597037192042\n", "752900 [1. 0.78674681 0.25296892 0.44789984 0.22642402 0.1090449\n", " 0.15542641 0.09156482 0.59711079 0.3801873 0.40712673] MSE = 0.000743232668147254 ll= -1.5059712919558215\n", "753000 [1. 0.78664232 0.25293532 0.44784035 0.22639394 0.10903042\n", " 0.15540576 0.09155266 0.59703148 0.3801368 0.40707265] MSE = 0.0007376521047565568 ll= -1.5059712919558215\n", "753100 [1. 0.78656308 0.25290571 0.44778088 0.22636388 0.10901594\n", " 0.15538513 0.0915405 0.59696547 0.38008632 0.40701859] MSE = 0.0007326738367103539 ll= -1.5059712919558215\n", "753200 [1. 0.78657682 0.25287346 0.44774798 0.22633382 0.10900146\n", " 0.1553698 0.09152835 0.59699641 0.38003851 0.40696455] MSE = 0.0007307767713760445 ll= -6.189019852044171\n", "753300 [1. 0.78656134 0.25283988 0.44769915 0.22630377 0.10898699\n", " 0.15534918 0.0915162 0.59697557 0.3800146 0.40696229] MSE = 0.0007301815751847632 ll= -1.5059712919558215\n", "753400 [1. 0.78645958 0.25280632 0.44763972 0.22627373 0.10897252\n", " 0.15532855 0.09150405 0.59689632 0.37996416 0.40690827] MSE = 0.0007247887766470634 ll= -1.5059712919558215\n", "753500 [1. 0.78643748 0.25283382 0.44760685 0.2262437 0.10897929\n", " 0.15532519 0.0914919 0.59688346 0.37997213 0.40691399] MSE = 0.0007246132182900085 ll= -11.486778978787306\n", "753600 [1. 0.78645919 0.25287193 0.44765893 0.2262495 0.10899137\n", " 0.15533908 0.09149834 0.59690246 0.37997213 0.40691573] MSE = 0.0007247410797069094 ll= -1.5059712919558215\n", "753700 [1. 0.78638668 0.25283838 0.44760085 0.22621948 0.10897691\n", " 0.15533174 0.0914862 0.59684979 0.37992171 0.40686173] MSE = 0.0007202367253548698 ll= -5.167556380460301\n", "753800 [1. 0.78628234 0.25280483 0.44754146 0.22618947 0.10896245\n", " 0.15531113 0.09147406 0.5967706 0.3798713 0.40680775] MSE = 0.0007149013401890078 ll= -1.5059712919558215\n", "753900 [1. 0.78617803 0.25277129 0.44748209 0.22615946 0.108948\n", " 0.15529053 0.09146193 0.59669143 0.37982091 0.40675378] MSE = 0.0007096252401505102 ll= -1.5059712919558215\n", "754000 [1. 0.78619843 0.25273776 0.44744396 0.22612946 0.10893355\n", " 0.15528983 0.09146439 0.59670779 0.37977583 0.40669983] MSE = 0.0007078011033395538 ll= -5.558739068192891\n", "754100 [1. 0.78622679 0.25270424 0.44741512 0.22609947 0.1089191\n", " 0.15534615 0.09148541 0.59670822 0.3798183 0.40674271] MSE = 0.0007118452698133381 ll= -3.1483567982378386\n", "754200 [1. 0.78619812 0.25267073 0.44739159 0.22606949 0.10890465\n", " 0.15532555 0.09147328 0.5967007 0.37979313 0.40671662] MSE = 0.0007105055455480793 ll= -1.5059712919558215\n", "754300 [1. 0.78609387 0.25263723 0.44733227 0.22603951 0.10889021\n", " 0.15530496 0.09146115 0.59662159 0.37974277 0.40666269] MSE = 0.0007053141850288389 ll= -1.5059712919558215\n", "754400 [1. 0.78599629 0.25260374 0.44727429 0.22600955 0.10887578\n", " 0.15528437 0.09144903 0.59654249 0.37969243 0.40660878] MSE = 0.0007002813563553777 ll= -1.5059712919558215\n", "754500 [1. 0.78589873 0.25257025 0.44721501 0.22597959 0.10886135\n", " 0.15526379 0.0914369 0.59646607 0.3796421 0.40655488] MSE = 0.0006953394478625221 ll= -1.5059712919558215\n", "754600 [1. 0.78579987 0.25253678 0.44715573 0.22594964 0.10884692\n", " 0.15524321 0.09142478 0.59638701 0.37959178 0.40650099] MSE = 0.000690398713868192 ll= -1.5059712919558215\n", "754700 [1. 0.7857938 0.25252187 0.44713093 0.22593162 0.10883249\n", " 0.15524914 0.09141267 0.59636761 0.37955208 0.40644977] MSE = 0.0006876486010883949 ll= -7.726348221427017\n", "754800 [1. 0.78582218 0.25262091 0.44720419 0.22603154 0.10884192\n", " 0.15525772 0.09140056 0.59639062 0.37950179 0.40639592] MSE = 0.0006824811216968032 ll= -9.7686781464156\n", "754900 [1. 0.78585056 0.25271993 0.44725755 0.22613408 0.1088275\n", " 0.15527292 0.09138845 0.59641229 0.37945946 0.40634208] MSE = 0.000677668380482221 ll= -5.74981650236172\n", "755000 [1. 0.78587892 0.25281892 0.44733077 0.22623659 0.10881309\n", " 0.15529872 0.09137634 0.59643264 0.37940919 0.40628825] MSE = 0.0006726801562253696 ll= -8.409721840658781\n", "755100 [1. 0.78590728 0.25291788 0.44740397 0.22633907 0.10880132\n", " 0.15530464 0.09136424 0.5964702 0.37947947 0.40636689] MSE = 0.000675910316815051 ll= -4.495702297929701\n", "755200 [1. 0.78593564 0.25301682 0.44747186 0.22644153 0.10879089\n", " 0.15532512 0.09135214 0.59648788 0.37953781 0.40643094] MSE = 0.0006781021974336969 ll= -6.217132597736642\n", "755300 [1. 0.78596398 0.25311573 0.44753046 0.22653867 0.10877648\n", " 0.15531118 0.09134004 0.59649762 0.37951536 0.40641419] MSE = 0.0006752091692145735 ll= -8.842611803884209\n", "755400 [1. 0.78599232 0.25321462 0.4476036 0.22663313 0.10879253\n", " 0.15535681 0.09136634 0.59653118 0.37952337 0.40642394] MSE = 0.0006743836002616553 ll= -11.982572837967565\n", "755500 [1. 0.78602065 0.25331348 0.44767673 0.2267355 0.108843\n", " 0.15534551 0.09136352 0.59656209 0.3795274 0.40643103] MSE = 0.000673105772396442 ll= -11.409068000411445\n", "755600 [1. 0.78604897 0.25341099 0.44774983 0.22683653 0.10883521\n", " 0.15534878 0.09135142 0.59659298 0.37960291 0.40650563] MSE = 0.0006765872128904667 ll= -6.290353682094413\n", "755700 [1. 0.78607729 0.25337745 0.44774352 0.22680651 0.1088208\n", " 0.15533086 0.09133933 0.59663579 0.379554 0.40645183] MSE = 0.0006751191621470435 ll= -6.537973411404882\n", "755800 [1. 0.7861056 0.25334392 0.44772926 0.2267765 0.1088064\n", " 0.1553778 0.09133254 0.59666931 0.37954479 0.40644171] MSE = 0.0006761870395894523 ll= -3.848284321973504\n", "755900 [1. 0.7861339 0.2533104 0.44771765 0.22674649 0.10879201\n", " 0.15540619 0.09132046 0.59669357 0.37961895 0.40652024] MSE = 0.0006825862726743954 ll= -4.854288053951388\n", "756000 [1. 0.78616219 0.25327689 0.44770075 0.2267165 0.10877762\n", " 0.15540019 0.09130837 0.59673237 0.37964016 0.40654716] MSE = 0.0006858716610032684 ll= -3.481798630088226\n", "756100 [1. 0.78619048 0.25324339 0.44767725 0.22668651 0.10876323\n", " 0.15537963 0.0912963 0.5967672 0.37971164 0.40661772] MSE = 0.0006920785471207396 ll= -5.198851538843776\n", "756200 [1. 0.78621875 0.25322709 0.44767623 0.22665653 0.10874884\n", " 0.15535908 0.09128422 0.59678746 0.37966142 0.40656395] MSE = 0.0006900711702177435 ll= -7.087660019657542\n", "756300 [1. 0.78622851 0.2531936 0.44767257 0.22662655 0.10873446\n", " 0.1553544 0.09127215 0.59678656 0.37961121 0.40651018] MSE = 0.0006877135773642433 ll= -1.5059712919558215\n", "756400 [1. 0.78618141 0.25316012 0.44761867 0.22659659 0.10872008\n", " 0.15536427 0.09126008 0.59672881 0.37956102 0.40645643] MSE = 0.0006836423205563585 ll= -7.4432348324072315\n", "756500 [1. 0.78620968 0.25315045 0.44761502 0.22658117 0.10870571\n", " 0.1553715 0.09124802 0.59674246 0.37951084 0.40641063] MSE = 0.0006816104500971089 ll= -10.052857158699721\n", "756600 [1. 0.78623794 0.25324917 0.44768275 0.22667812 0.10869927\n", " 0.15538136 0.09123596 0.59677859 0.37953073 0.40643886] MSE = 0.0006819240456651726 ll= -6.127541351927432\n", "756700 [1. 0.78626619 0.25334787 0.44775575 0.22678033 0.10868491\n", " 0.15536082 0.0912239 0.59680941 0.37957309 0.40647105] MSE = 0.0006830022668516205 ll= -4.638070440071226\n", "756800 [1. 0.78629444 0.25344654 0.44781816 0.22688252 0.10874455\n", " 0.15535483 0.0912766 0.59684155 0.37965376 0.40654949] MSE = 0.0006864448961497931 ll= -6.564494028497794\n", "756900 [1. 0.78632267 0.25354519 0.44789112 0.22698467 0.10886232\n", " 0.15534223 0.09139667 0.59687368 0.37973441 0.40662791] MSE = 0.0006897034381419022 ll= -4.629818162944138\n", "757000 [1. 0.78635091 0.25364381 0.4479601 0.2270868 0.10898005\n", " 0.15536398 0.09151671 0.59688862 0.37978729 0.40668781] MSE = 0.0006913881493890261 ll= -6.104102308555683\n", "757100 [1. 0.78637913 0.2537424 0.4480317 0.2271889 0.10909775\n", " 0.15535403 0.09163672 0.59691678 0.37986129 0.40676618] MSE = 0.0006946482712774988 ll= -4.996106425825165\n", "757200 [1. 0.78640734 0.25384097 0.44809801 0.22721041 0.10921543\n", " 0.15533615 0.0917567 0.59693171 0.3799366 0.40684454] MSE = 0.0006986668496326739 ll= -13.319690851442246\n", "757300 [1. 0.78643555 0.25393951 0.44817089 0.2272887 0.10930666\n", " 0.15540148 0.09184496 0.596944 0.37998943 0.40690571] MSE = 0.0007010453260915112 ll= -8.88548699810478\n", "757400 [1. 0.78646375 0.25403803 0.44823716 0.22738809 0.10934108\n", " 0.15543906 0.09184867 0.59695629 0.37993926 0.40685197] MSE = 0.0006963279223186896 ll= -5.864976657563045\n", "757500 [1. 0.78649195 0.25413652 0.44829416 0.22742936 0.10942303\n", " 0.1554489 0.09192897 0.5969963 0.37996039 0.40688408] MSE = 0.0006975819082035539 ll= -8.48483194175458\n", "757600 [1. 0.78652013 0.25423498 0.44836304 0.22749175 0.10952475\n", " 0.1554363 0.09202904 0.59703498 0.37991551 0.40683036] MSE = 0.0006937062672646476 ll= -9.108413973563618\n", "757700 [1. 0.78651135 0.25423838 0.44838173 0.22748944 0.1095103\n", " 0.15542767 0.0920169 0.59704329 0.37990892 0.40680306] MSE = 0.0006926289923599108 ll= -6.221945293332996\n", "757800 [1. 0.78653953 0.25420483 0.44833575 0.22745942 0.10949584\n", " 0.15541639 0.09200475 0.59706084 0.3799802 0.40688135] MSE = 0.0006987153165642611 ll= -7.188653728196509\n", "757900 [1. 0.7865677 0.25417129 0.44829638 0.2274294 0.10948139\n", " 0.15539588 0.09199261 0.59709818 0.38005674 0.40695962] MSE = 0.0007053009109715162 ll= -2.9369259520994695\n", "758000 [1. 0.78659586 0.25413775 0.44832959 0.22739939 0.10946695\n", " 0.15538066 0.09198047 0.59712099 0.38008049 0.40697585] MSE = 0.0007081367013175371 ll= -5.838141280189255\n", "758100 [1. 0.78656728 0.25410422 0.44832586 0.22736939 0.10945251\n", " 0.15537731 0.09196834 0.59710554 0.38003034 0.40692216] MSE = 0.0007047277992752761 ll= -5.845300864231483\n", "758200 [1. 0.78654399 0.2540707 0.44830233 0.2273394 0.10943807\n", " 0.15536605 0.09195621 0.59710328 0.37998021 0.40686849] MSE = 0.0007015583690964935 ll= -1.5059712919558215\n", "758300 [1. 0.78644949 0.25403719 0.44824453 0.22730942 0.10942363\n", " 0.15534556 0.09194408 0.59702453 0.3799301 0.40681482] MSE = 0.000696068514901889 ll= -6.156364935670482\n", "758400 [1. 0.78647765 0.25400369 0.44824212 0.22727944 0.1094092\n", " 0.15537254 0.09194778 0.59701965 0.37993274 0.40683766] MSE = 0.0006980102668188034 ll= -5.194216181021834\n", "758500 [1. 0.78642932 0.2539702 0.44819357 0.22724947 0.10939478\n", " 0.15535997 0.09193565 0.59698444 0.37988265 0.40678402] MSE = 0.00069394857425337 ll= -1.5059712919558215\n", "758600 [1. 0.78641661 0.25393935 0.44818457 0.22721951 0.10938036\n", " 0.15538827 0.0919354 0.59695452 0.37988003 0.40679367] MSE = 0.0006942355616418893 ll= -6.10941785787824\n", "758700 [1. 0.78644477 0.25390588 0.44818745 0.22718956 0.10936594\n", " 0.1553836 0.09192328 0.59699842 0.37995123 0.40687187] MSE = 0.0007008632744854215 ll= -7.236103900555825\n", "758800 [1. 0.78647291 0.25387241 0.44818901 0.22715962 0.10935152\n", " 0.1553908 0.09191116 0.5970054 0.37997628 0.4069105 ] MSE = 0.0007042132368121241 ll= -6.6237220941501045\n", "758900 [1. 0.78650105 0.25384159 0.44818002 0.22712968 0.10933711\n", " 0.15538086 0.09189905 0.59703216 0.38004217 0.40697812] MSE = 0.0007100521406519281 ll= -2.982405510303302\n", "759000 [1. 0.78652919 0.25380814 0.44817367 0.22709975 0.1093227\n", " 0.15536039 0.09188694 0.5970589 0.38008829 0.40702201] MSE = 0.0007145178893159731 ll= -4.341522616563264\n", "759100 [1. 0.78655731 0.2537747 0.44815283 0.22706983 0.1093083\n", " 0.15535837 0.09187484 0.59710013 0.38012121 0.4070527 ] MSE = 0.0007183195134602605 ll= -6.017025283817331\n", "759200 [1. 0.78651166 0.25374127 0.44811619 0.22703992 0.1092939\n", " 0.1553379 0.09186273 0.59706099 0.38008168 0.40701884] MSE = 0.0007152596139368346 ll= -1.5059712919558215\n", "759300 [1. 0.78640806 0.25370785 0.44805717 0.22701001 0.1092795\n", " 0.15531744 0.09185063 0.59698235 0.38003161 0.40696523] MSE = 0.0007096829140598327 ll= -1.5059712919558215\n", "759400 [1. 0.78630712 0.25367444 0.44799816 0.22698011 0.10926511\n", " 0.15529698 0.09183854 0.59690373 0.37998156 0.40691163] MSE = 0.0007042055961978613 ll= -1.5059712919558215\n", "759500 [1. 0.78625099 0.25364103 0.4479418 0.22695022 0.10925072\n", " 0.15527653 0.09182644 0.59685673 0.37993152 0.40685805] MSE = 0.0006999251891013916 ll= -4.414209676158504\n", "759600 [1. 0.78615405 0.25360764 0.44788282 0.22692034 0.10923634\n", " 0.15525609 0.09181435 0.59678209 0.3798815 0.40680448] MSE = 0.0006946636894572194 ll= -1.5059712919558215\n", "759700 [1. 0.78617167 0.25357425 0.44786072 0.22689047 0.10922196\n", " 0.15525276 0.09180358 0.59679831 0.37985124 0.40678383] MSE = 0.0006942437666862414 ll= -6.565092703572535\n", "759800 [1. 0.78619982 0.25356193 0.44787679 0.2268606 0.10920758\n", " 0.15524681 0.0917915 0.59682375 0.37991444 0.40685797] MSE = 0.0007000207447828015 ll= -5.098546107328506\n", "759900 [1. 0.78622795 0.25352856 0.4478547 0.22683074 0.10919321\n", " 0.15526718 0.09178731 0.59686102 0.37998157 0.40693604] MSE = 0.0007064310197005795 ll= -3.914911750892933\n", "760000 [1. 0.78625609 0.2534952 0.44783656 0.22680089 0.10917884\n", " 0.15527043 0.09177523 0.59689696 0.38004606 0.40699961] MSE = 0.0007122725402402472 ll= -5.079281800223279\n", "760100 [1. 0.78622237 0.25346184 0.44778947 0.22677105 0.10916447\n", " 0.15525789 0.09176316 0.59687368 0.37999605 0.40694605] MSE = 0.0007087261158587248 ll= -1.5059712919558215\n", "760200 [1. 0.78611893 0.2534285 0.44773056 0.22674122 0.10915011\n", " 0.15523747 0.09175109 0.59679516 0.37994606 0.40689251] MSE = 0.0007033450575207462 ll= -1.5059712919558215\n", "760300 [1. 0.78602078 0.25339516 0.44767167 0.22671139 0.10913575\n", " 0.15521705 0.09173902 0.59672192 0.37989608 0.40683899] MSE = 0.000698174060925249 ll= -6.26791760010969\n", "760400 [1. 0.78598711 0.25336183 0.44766408 0.22668157 0.1091214\n", " 0.15519663 0.09172695 0.59668815 0.37984611 0.40678548] MSE = 0.0006946265898231301 ll= -6.118485425707596\n", "760500 [1. 0.78596923 0.25332851 0.44764729 0.22665176 0.10910705\n", " 0.15517754 0.09171489 0.5966899 0.37980011 0.4067333 ] MSE = 0.0006919769619682164 ll= -1.5059712919558215\n", "760600 [1. 0.78589612 0.2532952 0.447595 0.22662196 0.1090927\n", " 0.15515713 0.09170283 0.59663248 0.379762 0.40667982] MSE = 0.0006878622022803685 ll= -1.5059712919558215\n", "760700 [1. 0.7857928 0.2532619 0.44753616 0.22659216 0.10907836\n", " 0.15513673 0.09169077 0.59655404 0.37971207 0.40662635] MSE = 0.0006826950306513255 ll= -1.5059712919558215\n", "760800 [1. 0.78570922 0.25322861 0.44747732 0.22656238 0.10906402\n", " 0.15512554 0.09167872 0.59649007 0.37966215 0.40657289] MSE = 0.0006780609116551677 ll= -7.386613636069738\n", "760900 [1. 0.78570978 0.25319532 0.44747371 0.2265326 0.10904968\n", " 0.1551275 0.09166667 0.59648922 0.37961225 0.40651945] MSE = 0.0006755668965096239 ll= -7.749886188256058\n", "761000 [1. 0.78566434 0.25316204 0.44742279 0.22650283 0.10903535\n", " 0.15511237 0.09165462 0.59645288 0.37956236 0.40646603] MSE = 0.0006719120597490143 ll= -1.5059712919558215\n", "761100 [1. 0.78564126 0.25312878 0.4474113 0.22647306 0.10902102\n", " 0.15512878 0.09164258 0.59643233 0.37957293 0.40648095] MSE = 0.0006729211828990834 ll= -7.603275349609392\n", "761200 [1. 0.78564578 0.25309552 0.44737748 0.22644331 0.1090067\n", " 0.15515438 0.09163053 0.59644462 0.37957299 0.40648535] MSE = 0.0006740809441876602 ll= -1.5059712919558215\n", "761300 [1. 0.78554256 0.25306227 0.44731871 0.22641356 0.10899238\n", " 0.155134 0.0916185 0.59636626 0.37952312 0.40643195] MSE = 0.0006690941790003003 ll= -1.5059712919558215\n", "761400 [1. 0.78544201 0.25302903 0.44725995 0.22638382 0.10897806\n", " 0.15511362 0.09160646 0.59628793 0.37947327 0.40637856] MSE = 0.00066420153497888 ll= -1.5059712919558215\n", "761500 [1. 0.78540452 0.25299711 0.44722748 0.22635408 0.10896375\n", " 0.1551077 0.09159443 0.59626084 0.37947071 0.4063751 ] MSE = 0.0006639367783129436 ll= -5.807875801921694\n", "761600 [1. 0.7854327 0.25296389 0.44720814 0.22632436 0.10894944\n", " 0.15517006 0.09160473 0.59629678 0.37953907 0.40645305] MSE = 0.0006702401613358998 ll= -6.550673816596104\n", "761700 [1. 0.78540966 0.25293067 0.44719932 0.22629464 0.10893514\n", " 0.15517069 0.0915927 0.59627757 0.37954701 0.40646402] MSE = 0.000671107999960057 ll= -1.5059712919558215\n", "761800 [1. 0.78534988 0.25289747 0.44716949 0.22626493 0.10892083\n", " 0.15515032 0.09158067 0.59622817 0.37949718 0.40641066] MSE = 0.0006672186932116876 ll= -1.5059712919558215\n", "761900 [1. 0.7852796 0.25286427 0.44711079 0.22623523 0.10890654\n", " 0.1551549 0.09156865 0.59617485 0.37944736 0.40635731] MSE = 0.0006631565891269857 ll= -1.5059712919558215\n", "762000 [1. 0.78517653 0.25283108 0.44705211 0.22620554 0.10889224\n", " 0.15513453 0.09155663 0.5960966 0.37939756 0.40630398] MSE = 0.0006583830499825769 ll= -1.5059712919558215\n", "762100 [1. 0.78507349 0.2527979 0.44699344 0.22617585 0.10887795\n", " 0.15511417 0.09154462 0.59601837 0.37934777 0.40625066] MSE = 0.0006536672640702393 ll= -1.5059712919558215\n", "762200 [1. 0.78500328 0.25276473 0.44693872 0.22614618 0.10886367\n", " 0.15509382 0.09153261 0.59597035 0.37929799 0.40619735] MSE = 0.0006498046806832987 ll= -4.798117665869433\n", "762300 [1. 0.78498294 0.25273157 0.44689845 0.2261165 0.10884938\n", " 0.15509578 0.0915206 0.59595513 0.37924823 0.40614406] MSE = 0.0006470170090172964 ll= -7.0814554796608595\n", "762400 [1. 0.78497311 0.25269841 0.44687262 0.22608684 0.1088351\n", " 0.15508199 0.09150859 0.59594779 0.37919848 0.40609078] MSE = 0.0006444821288234144 ll= -1.5059712919558215\n", "762500 [1. 0.78487539 0.25266527 0.44681401 0.22605719 0.10882083\n", " 0.15506165 0.09149659 0.59586962 0.37914874 0.40603751] MSE = 0.0006399863424765658 ll= -1.5059712919558215\n", "762600 [1. 0.78479213 0.25263213 0.44675541 0.22602754 0.10880656\n", " 0.15504131 0.09148459 0.59579934 0.37909902 0.40598426] MSE = 0.0006358205904058037 ll= -1.5059712919558215\n", "762700 [1. 0.78469053 0.252599 0.44669683 0.2259979 0.10879229\n", " 0.15502098 0.09147259 0.59572122 0.37904931 0.40593103] MSE = 0.0006313833218085325 ll= -1.5059712919558215\n", "762800 [1. 0.78466369 0.25256588 0.44666317 0.22596827 0.10877803\n", " 0.15500328 0.0914606 0.59568507 0.37899961 0.4058778 ] MSE = 0.0006283893046123154 ll= -5.070930656781693\n", "762900 [1. 0.78468013 0.25253277 0.44664919 0.22593865 0.10876377\n", " 0.15498296 0.09144861 0.59568039 0.37902465 0.40590194] MSE = 0.000630938191127958 ll= -1.5059712919558215\n", "763000 [1. 0.78469786 0.25249967 0.44663652 0.22590903 0.10874951\n", " 0.15496657 0.09143662 0.59569406 0.37905492 0.40593394] MSE = 0.0006341311951772231 ll= -7.838119366034984\n", "763100 [1. 0.78472608 0.25246658 0.4466173 0.22587942 0.10873526\n", " 0.15495151 0.09142464 0.59572739 0.37911533 0.406 ] MSE = 0.000639676547173244 ll= -4.062911936190469\n", "763200 [1. 0.78471629 0.25243349 0.44662823 0.22584982 0.10872101\n", " 0.15493382 0.09141266 0.59569257 0.37909841 0.40602935] MSE = 0.0006405049748507465 ll= -1.5059712919558215\n", "763300 [1. 0.78461347 0.25240042 0.44656971 0.22582023 0.10870676\n", " 0.15491352 0.09140068 0.59561452 0.37904874 0.40597615] MSE = 0.0006361290970334543 ll= -1.5059712919558215\n", "763400 [1. 0.78453295 0.25236735 0.44652037 0.22579065 0.10869252\n", " 0.15489454 0.09138871 0.59554828 0.37899908 0.40592297] MSE = 0.000632203777450698 ll= -1.5059712919558215\n", "763500 [1. 0.78444066 0.25233429 0.44646188 0.22576107 0.10867828\n", " 0.15487425 0.09137674 0.59547026 0.37894944 0.40586979] MSE = 0.0006280581101228248 ll= -1.5059712919558215\n", "763600 [1. 0.78440602 0.25230124 0.44642305 0.2257315 0.10866405\n", " 0.15485396 0.09136477 0.59544335 0.3788998 0.40581663] MSE = 0.0006251929931665735 ll= -4.440150649593255\n", "763700 [1. 0.78432032 0.2522682 0.44636852 0.22570194 0.10864982\n", " 0.15483368 0.0913528 0.59537847 0.37885018 0.40576349] MSE = 0.0006213503249567453 ll= -1.5059712919558215\n", "763800 [1. 0.78429226 0.25223517 0.44632447 0.22567238 0.10863559\n", " 0.15481341 0.09134084 0.59536598 0.37881105 0.40571036] MSE = 0.0006190800369083018 ll= -1.5059712919558215\n", "763900 [1. 0.78425242 0.2522519 0.44631579 0.22569259 0.10862399\n", " 0.15479314 0.09132888 0.595326 0.37876146 0.40565724] MSE = 0.0006146747447235998 ll= -8.512218111438058\n", "764000 [1. 0.78428067 0.25234978 0.44638565 0.22579395 0.10863726\n", " 0.15478073 0.09131693 0.59534625 0.37871187 0.40560545] MSE = 0.0006093571111904759 ll= -6.882837454161642\n", "764100 [1. 0.7843089 0.25244764 0.44645812 0.22589529 0.1086623\n", " 0.15476571 0.09130497 0.59537173 0.37869895 0.40562304] MSE = 0.0006073210665469687 ll= -7.691538256805917\n", "764200 [1. 0.78433713 0.25254548 0.44652794 0.2259966 0.10877503\n", " 0.15477294 0.09141081 0.59539589 0.37865594 0.40556995] MSE = 0.0006017710608325739 ll= -5.784816651663866\n", "764300 [1. 0.78436535 0.25264329 0.44657812 0.22606386 0.10889165\n", " 0.15475792 0.0915297 0.59543575 0.37870453 0.40558623] MSE = 0.0006016967940491176 ll= -16.11110916687432\n", "764400 [1. 0.78439356 0.25274107 0.4466453 0.22612718 0.10900824\n", " 0.1547743 0.09164857 0.59545466 0.37877535 0.40566401] MSE = 0.0006040671130044257 ll= -12.398504556104777\n", "764500 [1. 0.78442177 0.25283883 0.44671769 0.22621926 0.10904762\n", " 0.15475536 0.09168237 0.59544349 0.37884223 0.40574176] MSE = 0.0006060669632124297 ll= -3.05493474925614\n", "764600 [1. 0.78444997 0.25293656 0.4467809 0.22632047 0.10903336\n", " 0.1547639 0.09167037 0.59546763 0.37888424 0.40578548] MSE = 0.0006068290213516223 ll= -2.7270932373381336\n", "764700 [1. 0.78447816 0.25303427 0.44685326 0.22642166 0.10901909\n", " 0.15476327 0.09165838 0.59550484 0.37896547 0.4058632 ] MSE = 0.0006100209711983421 ll= -3.927385637780635\n", "764800 [1. 0.78450634 0.25313195 0.44692559 0.22652282 0.10905061\n", " 0.1547705 0.0916464 0.59552112 0.37901792 0.40593697] MSE = 0.0006118863519603069 ll= -4.875220014342981\n", "764900 [1. 0.78453452 0.2532126 0.44699529 0.22659911 0.10905465\n", " 0.15475549 0.09163441 0.59554393 0.37896836 0.40588651] MSE = 0.0006075713047628078 ll= -5.342017281134655\n", "765000 [1. 0.78451955 0.2531795 0.44696562 0.22656949 0.1090404\n", " 0.15473657 0.09162243 0.59553536 0.37899856 0.4059145 ] MSE = 0.0006098751259493277 ll= -1.5059712919558215\n", "765100 [1. 0.78441699 0.25314641 0.44690719 0.22653987 0.10902614\n", " 0.15471634 0.09161046 0.59545752 0.37894902 0.40586144] MSE = 0.0006054630087274123 ll= -1.5059712919558215\n", "765200 [1. 0.78431447 0.25311332 0.44684878 0.22651026 0.10901189\n", " 0.15469612 0.09159848 0.59537969 0.37889949 0.40580839] MSE = 0.0006011080006718684 ll= -1.5059712919558215\n", "765300 [1. 0.78421197 0.25308024 0.44679038 0.22648066 0.10899765\n", " 0.1546759 0.09158651 0.59530188 0.37884997 0.40575536] MSE = 0.0005968100574579405 ll= -1.5059712919558215\n", "765400 [1. 0.78421142 0.25304717 0.44677904 0.22645106 0.10898341\n", " 0.15465569 0.09157455 0.59530119 0.37880047 0.40570234] MSE = 0.0005945408857576992 ll= -1.5059712919558215\n", "765500 [1. 0.78421087 0.25301411 0.44675333 0.22642148 0.10896917\n", " 0.15463548 0.09156258 0.59528612 0.37882937 0.40574079] MSE = 0.000597263139080032 ll= -6.303039088122787\n", "765600 [1. 0.78423906 0.25298106 0.44676029 0.2263919 0.10895493\n", " 0.15462182 0.09155062 0.59533508 0.37878119 0.40568779] MSE = 0.0005959089378832246 ll= -4.781398394915248\n", "765700 [1. 0.78426724 0.25294801 0.44673589 0.22636233 0.1089407\n", " 0.15464472 0.09153866 0.59535005 0.37878135 0.4056988 ] MSE = 0.0005975644616959781 ll= -6.747165333172215\n", "765800 [1. 0.78429542 0.25291498 0.44671934 0.22633277 0.10892647\n", " 0.1546415 0.09152671 0.59536894 0.37883375 0.40575421] MSE = 0.0006021940721464552 ll= -3.98794153572984\n", "765900 [1. 0.78432358 0.25288587 0.44673152 0.22630321 0.10891225\n", " 0.15467485 0.09154218 0.59536694 0.37890833 0.40583181] MSE = 0.0006078531537627473 ll= -7.93995761696932\n", "766000 [1. 0.78435174 0.25285285 0.44670322 0.22627366 0.10889803\n", " 0.15470427 0.09154459 0.59541324 0.37891892 0.40584019] MSE = 0.0006100989706533046 ll= -4.428857395412436\n", "766100 [1. 0.78437859 0.25281984 0.44668016 0.22624413 0.10888381\n", " 0.15472324 0.09153264 0.5954282 0.37886945 0.40578721] MSE = 0.0006083104485360171 ll= -7.989508270229586\n", "766200 [1. 0.78440674 0.25278684 0.44667537 0.22621459 0.1088696\n", " 0.15472393 0.09152069 0.59545229 0.37882 0.40573424] MSE = 0.0006066663464671415 ll= -5.622053443763224\n", "766300 [1. 0.78442965 0.25275385 0.44669016 0.22618507 0.10885539\n", " 0.15478726 0.09151919 0.59547768 0.37877056 0.40568128] MSE = 0.0006049316206085127 ll= -10.042910736275312\n", "766400 [1. 0.78436383 0.25272087 0.44665014 0.22615555 0.10884118\n", " 0.15476967 0.09150724 0.5954326 0.37872374 0.40562834] MSE = 0.0006015429956514151 ll= -1.5059712919558215\n", "766500 [1. 0.7843737 0.25268789 0.44664405 0.22612604 0.10882698\n", " 0.15474948 0.0914953 0.5954358 0.37868215 0.40560543] MSE = 0.0006006796650204185 ll= -5.126103362426801\n", "766600 [1. 0.78432746 0.25265492 0.44660274 0.22609654 0.10881279\n", " 0.15472929 0.09148337 0.595409 0.37863796 0.40555251] MSE = 0.000597842064949582 ll= -1.5059712919558215\n", "766700 [1. 0.78429168 0.25262197 0.44656927 0.22606705 0.10879859\n", " 0.15470911 0.09147143 0.59537177 0.37865119 0.40556353] MSE = 0.000598643577069994 ll= -4.885888766977821\n", "766800 [1. 0.78431981 0.25258902 0.44655145 0.22603756 0.1087844\n", " 0.15469154 0.0914595 0.59536455 0.37872701 0.40564106] MSE = 0.0006043759217274136 ll= -6.276111676631532\n", "766900 [1. 0.78428143 0.25255608 0.44650887 0.22600809 0.10877021\n", " 0.15467788 0.09144757 0.59532342 0.37868023 0.40559468] MSE = 0.0006016200359862018 ll= -1.5059712919558215\n", "767000 [1. 0.78424306 0.25252315 0.4464689 0.22597862 0.10875603\n", " 0.15466554 0.09143565 0.59529013 0.37863085 0.40554179] MSE = 0.0005986929174342916 ll= -6.229493609534079\n", "767100 [1. 0.78427119 0.25249022 0.44642894 0.22594915 0.10874185\n", " 0.15465711 0.09142373 0.59532855 0.37858149 0.40549022] MSE = 0.0005973755667287664 ll= -5.449971562232001\n", "767200 [1. 0.78429931 0.25245731 0.44645157 0.2259197 0.10872768\n", " 0.15467736 0.09141181 0.59533698 0.37853735 0.40544779] MSE = 0.0005960803078388886 ll= -12.101085719409863\n", "767300 [1. 0.78427268 0.2524244 0.44639468 0.22589025 0.1087135\n", " 0.15468196 0.0913999 0.59530892 0.37848801 0.40539625] MSE = 0.0005934344306082214 ll= -1.5059712919558215\n", "767400 [1. 0.78420305 0.2523915 0.44634954 0.22586081 0.10869934\n", " 0.15468005 0.09138798 0.5952587 0.37846214 0.40536687] MSE = 0.0005914126397652784 ll= -6.50557619276829\n", "767500 [1. 0.78423117 0.25235861 0.44632786 0.22583138 0.10868517\n", " 0.15469638 0.09139562 0.59529841 0.37854053 0.40544436] MSE = 0.0005976773339089999 ll= -4.688854385034283\n", "767600 [1. 0.78424104 0.25232573 0.44631661 0.22580195 0.10867101\n", " 0.15470098 0.09138371 0.5952899 0.37856156 0.40546319] MSE = 0.0005997907125094174 ll= -1.5059712919558215\n", "767700 [1. 0.78413887 0.25229286 0.44625847 0.22577254 0.10865685\n", " 0.15468082 0.09137181 0.59521235 0.37851225 0.40541037] MSE = 0.0005957751286237197 ll= -1.5059712919558215\n", "767800 [1. 0.78403673 0.25226 0.44620034 0.22574313 0.1086427\n", " 0.15466067 0.09135991 0.59513482 0.37846294 0.40535756] MSE = 0.0005918160692645661 ll= -1.5059712919558215\n", "767900 [1. 0.78393853 0.25222714 0.44614222 0.22571373 0.10862855\n", " 0.15464053 0.09134801 0.59505731 0.37841365 0.40530477] MSE = 0.0005879555060826895 ll= -5.324924625122289\n", "768000 [1. 0.78396666 0.2521943 0.44611017 0.22568433 0.1086144\n", " 0.1546816 0.09133611 0.59509181 0.37838781 0.40527152] MSE = 0.0005878214940747257 ll= -5.83856443638111\n", "768100 [1. 0.78399479 0.25216146 0.44611979 0.22565495 0.10860026\n", " 0.15466406 0.09132422 0.5951224 0.37841276 0.40527865] MSE = 0.0005902960387586804 ll= -6.039887417674517\n", "768200 [1. 0.78402291 0.25212863 0.44609686 0.22562557 0.10858612\n", " 0.15465044 0.09131233 0.5951712 0.37837782 0.40524151] MSE = 0.0005900059728864891 ll= -5.808325873398054\n", "768300 [1. 0.78396121 0.25209581 0.44605571 0.2255962 0.10857199\n", " 0.15464593 0.09130044 0.59512627 0.37832856 0.40518875] MSE = 0.0005868891792228247 ll= -1.5059712919558215\n", "768400 [1. 0.78393336 0.252063 0.44601718 0.22556684 0.10855786\n", " 0.1546258 0.09128856 0.59511909 0.37832617 0.40515163] MSE = 0.0005863445620723109 ll= -6.870649108872633\n", "768500 [1. 0.78396148 0.25203149 0.44599948 0.22553748 0.10854373\n", " 0.15463431 0.09127668 0.59516268 0.37839667 0.40522905] MSE = 0.0005923899654861819 ll= -5.304855591286769\n", "768600 [1. 0.78395836 0.2519987 0.44596226 0.22550813 0.1085296\n", " 0.15461418 0.0912648 0.5951581 0.37844112 0.40527391] MSE = 0.0005959674862865625 ll= -1.5059712919558215\n", "768700 [1. 0.78393573 0.25196591 0.44591335 0.22547879 0.10851548\n", " 0.15459407 0.09125293 0.59508197 0.37843742 0.40529274] MSE = 0.0005964664585316705 ll= -2.74377241758175\n", "768800 [1. 0.78396384 0.25193313 0.44588006 0.22544946 0.10850137\n", " 0.15459477 0.09124106 0.59502016 0.37843372 0.40537011] MSE = 0.0005994424615706148 ll= -4.050235264414795\n", "768900 [1. 0.7839243 0.25190036 0.44584807 0.22542014 0.10848725\n", " 0.15461759 0.09122919 0.59494277 0.3783871 0.40532128] MSE = 0.0005964138583548168 ll= -5.566262284656384\n", "769000 [1. 0.7839498 0.2518676 0.44585642 0.22539082 0.10847314\n", " 0.15459878 0.09121732 0.59497594 0.37842632 0.4053596 ] MSE = 0.000600279266007626 ll= -4.31794094264133\n", "769100 [1. 0.78396879 0.25183875 0.44588036 0.22536151 0.10845904\n", " 0.15460728 0.09120546 0.5949922 0.37839012 0.4053329 ] MSE = 0.0005996788417391401 ll= -1.5059712919558215\n", "769200 [1. 0.78388246 0.25180601 0.44582239 0.22533221 0.10844494\n", " 0.15459108 0.0911936 0.59491484 0.37834092 0.4052815 ] MSE = 0.0005961269791025792 ll= -6.779439699008103\n", "769300 [1. 0.78383255 0.25177327 0.44576833 0.22530291 0.10843084\n", " 0.15458008 0.09118175 0.59486219 0.37829173 0.40522881] MSE = 0.0005932032510990067 ll= -1.5059712919558215\n", "769400 [1. 0.78373196 0.25174054 0.44571039 0.22527363 0.10841674\n", " 0.15455999 0.09116989 0.59478487 0.37824256 0.40517613] MSE = 0.0005895568872154084 ll= -1.5059712919558215\n", "769500 [1. 0.78366649 0.25170782 0.44565246 0.22524435 0.10840265\n", " 0.1545581 0.09115805 0.59473486 0.3781934 0.40512347] MSE = 0.0005865711132504887 ll= -1.5059712919558215\n", "769600 [1. 0.78368941 0.25167511 0.44564782 0.22521507 0.10838856\n", " 0.15455231 0.0911462 0.59476023 0.37821183 0.4051371 ] MSE = 0.0005889925079582133 ll= -6.584682384581372\n", "769700 [1. 0.78371752 0.25164241 0.4456289 0.22518581 0.10837448\n", " 0.154592 0.09114605 0.5947856 0.37828612 0.4052144 ] MSE = 0.0005949317642383542 ll= -4.087958997418334\n", "769800 [1. 0.78374562 0.25160972 0.44563466 0.22515655 0.1083604\n", " 0.1545901 0.09113421 0.59480837 0.37825776 0.40518644] MSE = 0.0005948070992778216 ll= -6.346609424346568\n", "769900 [1. 0.78369966 0.25157703 0.44560925 0.22512731 0.10834632\n", " 0.15457262 0.09112237 0.59475188 0.37820863 0.4051338 ] MSE = 0.0005919075432425785 ll= -6.749792009393874\n", "770000 [1. 0.78372776 0.25154825 0.44559553 0.22509806 0.10833225\n", " 0.1546019 0.09111053 0.59478114 0.37823094 0.40515781] MSE = 0.0005947874195221944 ll= -5.449978604272749\n", "770100 [1. 0.78375584 0.25151558 0.4455974 0.22506883 0.10831818\n", " 0.15458961 0.0910987 0.59478701 0.37830649 0.40523506] MSE = 0.0006006044137797261 ll= -8.660931874379399\n", "770200 [1. 0.78378392 0.25152837 0.44559668 0.22508116 0.10830412\n", " 0.15461628 0.09108687 0.59480587 0.37827815 0.4052214 ] MSE = 0.0005995752702482808 ll= -5.138626111998674\n", "770300 [1. 0.783812 0.25162555 0.44566087 0.22518177 0.1083342\n", " 0.15462218 0.09107505 0.59481563 0.37832251 0.40527006] MSE = 0.0005994122044413078 ll= -9.940303390240938\n", "770400 [1. 0.78384006 0.25172271 0.44572245 0.22528236 0.1083474\n", " 0.15461898 0.09106322 0.59483708 0.37830845 0.40523952] MSE = 0.0005954877168499135 ll= -6.3407648184168455\n", "770500 [1. 0.78386812 0.25181983 0.44578271 0.22538292 0.10834112\n", " 0.15459891 0.0910514 0.59487409 0.37831516 0.40523494] MSE = 0.0005932783219611605 ll= -11.054310332143269\n", "770600 [1. 0.78389617 0.25191694 0.44585464 0.22548345 0.10843089\n", " 0.1546061 0.09111486 0.59487995 0.37836989 0.40529526] MSE = 0.0005934652707684522 ll= -7.10225118652483\n", "770700 [1. 0.78392421 0.25201402 0.44592396 0.22558396 0.10846613\n", " 0.15461848 0.09114456 0.59489229 0.37840254 0.40532832] MSE = 0.0005926687637414724 ll= -4.611392839247973\n", "770800 [1. 0.78395225 0.25210069 0.44599325 0.22566109 0.10856235\n", " 0.15459971 0.09119502 0.59489944 0.37837031 0.40530557] MSE = 0.0005885059092622562 ll= -8.759601427963847\n", "770900 [1. 0.78398028 0.25213025 0.44600285 0.22569019 0.10857161\n", " 0.15461988 0.09118319 0.59494811 0.37843539 0.40536196] MSE = 0.0005919670120431808 ll= -8.250572804499965\n", "771000 [1. 0.7840083 0.25216889 0.44607083 0.22573096 0.10856012\n", " 0.15461798 0.09117136 0.59496692 0.37844597 0.40537424] MSE = 0.0005920027979993982 ll= -7.382682381377442\n", "771100 [1. 0.78403632 0.25225681 0.44614267 0.2257821 0.10854604\n", " 0.15459922 0.09115953 0.59499222 0.37840856 0.40532685] MSE = 0.0005881330081298235 ll= -10.980361008106142\n", "771200 [1. 0.78406432 0.25235378 0.4462145 0.22588251 0.10860978\n", " 0.15461548 0.0911542 0.5950201 0.37838283 0.40527558] MSE = 0.0005833306360386196 ll= -11.696325890371769\n", "771300 [1. 0.78409232 0.25245073 0.44628631 0.22598288 0.10860996\n", " 0.154611 0.09114238 0.5950376 0.37835581 0.40524248] MSE = 0.0005793660235131745 ll= -12.749430247758484\n", "771400 [1. 0.78412032 0.25254765 0.4463555 0.22607935 0.10863477\n", " 0.15461947 0.09114871 0.59503565 0.3784014 0.40529107] MSE = 0.0005796675627944284 ll= -11.442253014288605\n", "771500 [1. 0.7841483 0.25260824 0.44641042 0.22613171 0.10862847\n", " 0.15463702 0.09113689 0.59505963 0.37835235 0.40523853] MSE = 0.000575758547734562 ll= -6.494752639270218\n", "771600 [1. 0.78412573 0.2525755 0.44639274 0.2261024 0.10861439\n", " 0.15462087 0.09112508 0.59503305 0.37832145 0.40520674] MSE = 0.000574314748254635 ll= -1.5059712919558215\n", "771700 [1. 0.78407206 0.25254277 0.44634396 0.22607309 0.10860031\n", " 0.15460083 0.09111327 0.59499741 0.37827242 0.40515422] MSE = 0.000571352812515556 ll= -5.135610522867465\n", "771800 [1. 0.78410004 0.25251004 0.44634314 0.2260438 0.10858624\n", " 0.15460282 0.09110146 0.59503693 0.37833485 0.40522353] MSE = 0.0005768058044179654 ll= -4.321460899716767\n", "771900 [1. 0.78412801 0.25247733 0.4463177 0.22601451 0.10857217\n", " 0.15460223 0.09108966 0.59508292 0.37841151 0.4053006 ] MSE = 0.0005830206986984162 ll= -3.513468366129891\n", "772000 [1. 0.78408991 0.25244462 0.44629745 0.22598523 0.1085581\n", " 0.15459904 0.09107786 0.59505376 0.37839357 0.40528436] MSE = 0.0005822175995142239 ll= -7.118518671955435\n", "772100 [1. 0.78411788 0.2524171 0.44629275 0.22595596 0.10854404\n", " 0.15459326 0.09106606 0.59508161 0.37841321 0.40531218] MSE = 0.0005850681435689563 ll= -5.543831571453686\n", "772200 [1. 0.78414584 0.25238441 0.44631654 0.22592669 0.10852998\n", " 0.15464318 0.09105427 0.59511592 0.37838751 0.40528688] MSE = 0.0005850721096791216 ll= -6.00856457446098\n", "772300 [1. 0.7840935 0.25235172 0.44627169 0.22589744 0.10851593\n", " 0.15462445 0.09104248 0.59507252 0.37833851 0.4052344 ] MSE = 0.000582046471203088 ll= -4.673508202312242\n", "772400 [1. 0.78412146 0.25231905 0.44627994 0.22586819 0.10850188\n", " 0.1546109 0.09103069 0.59508999 0.37831024 0.40520264] MSE = 0.0005817066507208587 ll= -4.0658131824609125\n", "772500 [1. 0.7841494 0.25241067 0.44635163 0.22594381 0.10851113\n", " 0.1546595 0.09103185 0.59512817 0.37828975 0.40516054] MSE = 0.0005781452528412802 ll= -9.175562337569673\n", "772600 [1. 0.78417735 0.25244401 0.44638447 0.22596246 0.1085411\n", " 0.15464466 0.09102395 0.59516117 0.37832621 0.40518447] MSE = 0.0005796758087336741 ll= -5.119732524013335\n", "772700 [1. 0.78420528 0.25242428 0.44638752 0.22593321 0.10852705\n", " 0.15465441 0.09102511 0.59519156 0.37840021 0.40526145] MSE = 0.0005854260698903314 ll= -5.494567194656321\n", "772800 [1. 0.78423321 0.25240585 0.44635693 0.22590397 0.10851301\n", " 0.15464216 0.09101333 0.59522971 0.3784483 0.40533454] MSE = 0.0005905058266442399 ll= -4.4525869456102996\n", "772900 [1. 0.78426113 0.25237319 0.44634834 0.22587474 0.10849896\n", " 0.15462345 0.09100155 0.59526398 0.37850155 0.40539855] MSE = 0.000595608145632885 ll= -6.274843755014494\n", "773000 [1. 0.78428904 0.25234054 0.44631388 0.22584552 0.10848493\n", " 0.1546539 0.09098978 0.59526847 0.37857808 0.40547548] MSE = 0.0006014373211779466 ll= -4.433100618068774\n", "773100 [1. 0.78428202 0.25230789 0.44630013 0.2258163 0.10847089\n", " 0.15465977 0.09097801 0.59525873 0.37854334 0.40544502] MSE = 0.000600256908841746 ll= -5.205131489474865\n", "773200 [1. 0.78430992 0.25227526 0.44628379 0.22578709 0.10845686\n", " 0.15469409 0.09096624 0.59526323 0.37857069 0.40547018] MSE = 0.0006030870261901558 ll= -4.736365459876293\n", "773300 [1. 0.78433782 0.25226591 0.44628557 0.22576694 0.10844283\n", " 0.1546896 0.09095447 0.59530393 0.37857734 0.4054656 ] MSE = 0.0006043822360631333 ll= -6.205032034743561\n", "773400 [1. 0.78436571 0.25223329 0.4462576 0.22573775 0.10842881\n", " 0.15473426 0.09098021 0.59533428 0.37860727 0.4055011 ] MSE = 0.0006078805477412137 ll= -7.913699228973829\n", "773500 [1. 0.78439359 0.25220067 0.44625808 0.22570856 0.10841479\n", " 0.15471425 0.09096845 0.5953685 0.37868503 0.40557797] MSE = 0.0006141393808400922 ll= -4.86277874348346\n", "773600 [1. 0.78442146 0.25216807 0.44628959 0.22567938 0.10840078\n", " 0.1547033 0.09095669 0.59539496 0.37871364 0.4056225 ] MSE = 0.0006178795388949712 ll= -4.016490784454662\n", "773700 [1. 0.78444933 0.25213547 0.44628619 0.22565021 0.10838676\n", " 0.15469493 0.09094493 0.5954395 0.37879266 0.40569933] MSE = 0.0006243359571017288 ll= -3.985062249979372\n", "773800 [1. 0.78447719 0.25210288 0.44626082 0.22562104 0.10837275\n", " 0.15471888 0.09093835 0.59547887 0.37886649 0.40577614] MSE = 0.0006306119032177815 ll= -4.206107623423536\n", "773900 [1. 0.78450504 0.2520703 0.44623675 0.22559188 0.10835875\n", " 0.15473766 0.0909266 0.59550918 0.37894417 0.40585293] MSE = 0.0006369356825282117 ll= -5.460856386633821\n", "774000 [1. 0.78453289 0.25203773 0.44622432 0.22556273 0.10834475\n", " 0.15477581 0.09091485 0.59553689 0.37901021 0.40592066] MSE = 0.0006426018030769298 ll= -5.4544104413198875\n", "774100 [1. 0.78456072 0.25200517 0.44624548 0.22553359 0.10833075\n", " 0.15476873 0.0909031 0.5955646 0.37905943 0.40597158] MSE = 0.0006472529893455913 ll= -6.203632905353737\n", "774200 [1. 0.78458855 0.25205529 0.44627567 0.22558713 0.10831675\n", " 0.15476037 0.09089136 0.59558843 0.37906084 0.4059721 ] MSE = 0.0006465388242719638 ll= -5.242620614267507\n", "774300 [1. 0.78461638 0.2521519 0.4463472 0.22568716 0.10833247\n", " 0.15477267 0.09088478 0.59560708 0.37908292 0.40599974] MSE = 0.0006457298204812292 ll= -4.765980841785051\n", "774400 [1. 0.78464419 0.25224848 0.44641353 0.22578716 0.10832881\n", " 0.15476043 0.09087305 0.59565801 0.37914374 0.40607258] MSE = 0.000648091161524508 ll= -8.127378330940012\n", "774500 [1. 0.784672 0.25234504 0.44648502 0.22588714 0.10836519\n", " 0.15475465 0.09086131 0.5956547 0.37921746 0.40613636] MSE = 0.0006497245277626815 ll= -7.99215127110983\n", "774600 [1. 0.78469981 0.25241446 0.44651775 0.22589154 0.10839251\n", " 0.15474112 0.09084958 0.59566817 0.37920981 0.40613686] MSE = 0.0006488296046211937 ll= -4.746265632793348\n", "774700 [1. 0.7847276 0.25238187 0.446504 0.22586238 0.10837852\n", " 0.15472244 0.09083785 0.59569455 0.37928608 0.40621353] MSE = 0.0006551704617822477 ll= -2.895262342275505\n", "774800 [1. 0.78475539 0.2523493 0.44650703 0.22583323 0.10836453\n", " 0.15470505 0.09082613 0.59572996 0.37926681 0.40619207] MSE = 0.0006556000409357332 ll= -4.704724537223621\n", "774900 [1. 0.78476639 0.25231673 0.44649458 0.22580408 0.10835054\n", " 0.15468508 0.0908144 0.59573567 0.37928369 0.40620934] MSE = 0.0006578201521631162 ll= -3.7669463452619163\n", "775000 [1. 0.78473609 0.25228417 0.44643954 0.22577494 0.10833656\n", " 0.15466899 0.09080268 0.59572074 0.37926571 0.40619822] MSE = 0.0006573719409779961 ll= -5.846436966598034\n", "775100 [1. 0.78468774 0.25225161 0.44640258 0.22574581 0.10832258\n", " 0.15466194 0.09079097 0.59566581 0.37921677 0.40614581] MSE = 0.0006539568017689902 ll= -1.5059712919558215\n", "775200 [1. 0.78469746 0.25221907 0.44639143 0.22571668 0.10830861\n", " 0.15469875 0.09077925 0.59569217 0.37920139 0.40611663] MSE = 0.0006538992340237432 ll= -6.1381765756009745\n", "775300 [1. 0.78472523 0.25218653 0.44637384 0.22568756 0.10829463\n", " 0.15472007 0.09076754 0.59573916 0.37926858 0.40619324] MSE = 0.0006602104937874921 ll= -3.645231745838544\n", "775400 [1. 0.784753 0.252154 0.44634593 0.22565845 0.10828067\n", " 0.15473623 0.09077389 0.59577583 0.37934348 0.40626983] MSE = 0.0006666486879279496 ll= -5.297929580954337\n", "775500 [1. 0.78478076 0.25212922 0.44636704 0.22562935 0.1082667\n", " 0.15482719 0.09078024 0.59581377 0.37938483 0.40630771] MSE = 0.0006706341934610018 ll= -8.510791183897556\n", "775600 [1. 0.78478788 0.25209671 0.44632882 0.22560026 0.10825274\n", " 0.1548227 0.09076854 0.59582076 0.37935268 0.40626692] MSE = 0.0006695158368896996 ll= -5.247707806236306\n", "775700 [1. 0.78481563 0.25206421 0.44634219 0.22557117 0.10823878\n", " 0.15482594 0.09075812 0.59585482 0.37930376 0.40621454] MSE = 0.0006680511640549125 ll= -6.812989925248118\n", "775800 [1. 0.78484337 0.25203171 0.44631816 0.22554209 0.10822483\n", " 0.15482919 0.09074642 0.59588114 0.37932835 0.40624081] MSE = 0.0006712941862789745 ll= -7.48813128489559\n", "775900 [1. 0.7848711 0.25204176 0.44633153 0.2255504 0.1082199\n", " 0.15484919 0.09073473 0.59588554 0.37940191 0.40631735] MSE = 0.0006761473794188151 ll= -9.170371984900939\n", "776000 [1. 0.78489883 0.25213816 0.44640289 0.22561284 0.10827684\n", " 0.15484212 0.09076685 0.59591829 0.3794574 0.40637324] MSE = 0.0006777036780106268 ll= -16.112099437088162\n", "776100 [1. 0.78492655 0.252125 0.44638531 0.22558376 0.10827964\n", " 0.15488789 0.0907732 0.59594845 0.37947294 0.40639691] MSE = 0.0006802114559118928 ll= -5.037144569166042\n", "776200 [1. 0.78491174 0.25209251 0.44637804 0.2255547 0.10826569\n", " 0.15488339 0.09076279 0.59593738 0.37945754 0.40637676] MSE = 0.0006797240890639154 ll= -8.536075892225469\n", "776300 [1. 0.78493945 0.25206004 0.44636047 0.22552564 0.10825174\n", " 0.15492528 0.0907511 0.59593275 0.37953491 0.40645323] MSE = 0.0006858186313577242 ll= -8.605153763936947\n", "776400 [1. 0.78492464 0.25202757 0.44632745 0.22549659 0.10823779\n", " 0.15491434 0.0907394 0.59593327 0.3795105 0.40643823] MSE = 0.0006854169322276932 ll= -4.936842957311145\n", "776500 [1. 0.78489052 0.25199511 0.44630088 0.22546754 0.10822385\n", " 0.15490855 0.09072772 0.59590289 0.37946162 0.40638588] MSE = 0.0006824206970449735 ll= -1.5059712919558215\n", "776600 [1. 0.78484482 0.25196265 0.44625885 0.22543851 0.10820992\n", " 0.1548886 0.09071603 0.59586993 0.37941275 0.40633355] MSE = 0.0006792974717563878 ll= -5.883420673322926\n", "776700 [1. 0.78487252 0.25193021 0.44624903 0.22540948 0.10819598\n", " 0.15486866 0.09070435 0.59586917 0.37937548 0.40628123] MSE = 0.0006778103663588803 ll= -6.687382956982303\n", "776800 [1. 0.78482941 0.25189777 0.4462096 0.22538046 0.10818205\n", " 0.15487962 0.09069267 0.59583108 0.37932921 0.40623149] MSE = 0.0006748333582520772 ll= -1.5059712919558215\n", "776900 [1. 0.7848275 0.25187564 0.44619851 0.22536174 0.10816813\n", " 0.15488285 0.090681 0.59581874 0.37928038 0.4061792 ] MSE = 0.0006722132627168321 ll= -11.965944297356092\n", "777000 [1. 0.78485519 0.25197194 0.44626207 0.22545244 0.10817608\n", " 0.15487064 0.09066933 0.59585661 0.37929077 0.40619513] MSE = 0.0006710728884758503 ll= -8.412087777262858\n", "777100 [1. 0.78488288 0.25206821 0.44633205 0.22555212 0.10817503\n", " 0.15491763 0.09065766 0.59585457 0.37936551 0.40627156] MSE = 0.0006732699232657363 ll= -11.475139180907757\n", "777200 [1. 0.78491056 0.25215288 0.44638399 0.22563891 0.1081817\n", " 0.15491185 0.09064599 0.5958744 0.3794132 0.40633895] MSE = 0.0006750448227097912 ll= -5.955494415033529\n", "777300 [1. 0.78493824 0.25212043 0.44637545 0.22560988 0.10816778\n", " 0.15490479 0.09063433 0.59588008 0.37948276 0.40641534] MSE = 0.0006810283997684113 ll= -5.439429996713692\n", "777400 [1. 0.78485527 0.252088 0.4463206 0.22558086 0.10815387\n", " 0.15488486 0.09062267 0.59582143 0.37943522 0.40636562] MSE = 0.000677237396330965 ll= -1.5059712919558215\n", "777500 [1. 0.78477746 0.25205557 0.44626318 0.22555184 0.10813995\n", " 0.15486493 0.09061101 0.59574479 0.37938642 0.40631335] MSE = 0.0006732174362750063 ll= -1.5059712919558215\n", "777600 [1. 0.78467653 0.25202315 0.44620579 0.22552283 0.10812605\n", " 0.15484502 0.09059936 0.59566817 0.37933762 0.40626109] MSE = 0.0006689606644441216 ll= -1.5059712919558215\n", "777700 [1. 0.78467721 0.25199074 0.44614841 0.22549383 0.10811214\n", " 0.15483025 0.09058771 0.59559671 0.37929784 0.40630401] MSE = 0.000669439312905702 ll= -2.848611201950537\n", "777800 [1. 0.7847049 0.25196091 0.44615147 0.22546483 0.10809824\n", " 0.15484377 0.09057606 0.59561528 0.37927736 0.4062672 ] MSE = 0.0006691042454894638 ll= -11.067705768996065\n", "777900 [1. 0.78473258 0.25192852 0.44615711 0.22543584 0.10808434\n", " 0.15492929 0.09060813 0.5956107 0.37932759 0.40633196] MSE = 0.0006738459143747144 ll= -5.771050762117394\n", "778000 [1. 0.78476025 0.25189613 0.4461139 0.22540686 0.10807045\n", " 0.15492608 0.09059648 0.59561897 0.37939838 0.40640828] MSE = 0.0006799550097680207 ll= -6.46139759432067\n", "778100 [1. 0.78478792 0.25186375 0.44613111 0.22537789 0.10805656\n", " 0.15492674 0.09058483 0.59563368 0.37946272 0.40647815] MSE = 0.0006856597141289048 ll= -5.8135317182479\n", "778200 [1. 0.78481558 0.25183138 0.44608534 0.22534893 0.10804267\n", " 0.15497237 0.09057319 0.59565737 0.37952962 0.40655314] MSE = 0.0006918269434249536 ll= -6.993902969137454\n", "778300 [1. 0.78484323 0.25179902 0.44609997 0.22531997 0.10802878\n", " 0.1549743 0.09056155 0.5956772 0.37951169 0.40653945] MSE = 0.0006923830846262063 ll= -8.071411663567696\n", "778400 [1. 0.78487087 0.25176667 0.44608249 0.22529102 0.1080149\n", " 0.15497623 0.09054992 0.5957163 0.37948477 0.4065052 ] MSE = 0.0006922771599017425 ll= -9.775851531313384\n", "778500 [1. 0.78489851 0.25173433 0.44609584 0.22526208 0.10800103\n", " 0.15499743 0.09053828 0.5957554 0.37956064 0.40658145] MSE = 0.0006988795979560134 ll= -5.4517799758518475\n", "778600 [1. 0.78492614 0.25170199 0.44607579 0.22523314 0.10798715\n", " 0.15499037 0.09052665 0.59577136 0.3795517 0.40657033] MSE = 0.0006998262812142221 ll= -5.563410795605199\n", "778700 [1. 0.78495376 0.25167223 0.4460673 0.22520421 0.10797329\n", " 0.15497303 0.09051503 0.59581942 0.37952993 0.40654251] MSE = 0.0007001702367833041 ll= -6.298323200677684\n", "778800 [1. 0.78498138 0.25165789 0.44611404 0.22517529 0.10795942\n", " 0.15502376 0.09050726 0.59580198 0.37948119 0.4065147 ] MSE = 0.0006985607980001789 ll= -4.863488963747946\n", "778900 [1. 0.78498202 0.25162558 0.4461094 0.22514638 0.10794556\n", " 0.15501669 0.09049563 0.59578454 0.3794376 0.40650103] MSE = 0.0006976339521614769 ll= -4.809925584670398\n", "779000 [1. 0.78500963 0.25159327 0.4461253 0.22511747 0.1079317\n", " 0.1550674 0.090493 0.5958313 0.37945693 0.40651175] MSE = 0.0007004507994612496 ll= -6.257053548391955\n", "779100 [1. 0.7850154 0.25156098 0.44609371 0.22508858 0.10791784\n", " 0.1550475 0.09048139 0.59579718 0.37946983 0.40653787] MSE = 0.0007024521175492423 ll= -7.4764538681613075\n", "779200 [1. 0.785043 0.25152869 0.44610833 0.22505968 0.10790399\n", " 0.15511488 0.09048132 0.59578873 0.37944936 0.40651649] MSE = 0.0007023538249947909 ll= -8.452128827209316\n", "779300 [1. 0.78507059 0.25149641 0.44611268 0.2250308 0.10789014\n", " 0.15514502 0.09046971 0.5958098 0.37948794 0.40656186] MSE = 0.0007066542046496378 ll= -3.354681045776417\n", "779400 [1. 0.78509817 0.25146413 0.44613114 0.22500192 0.1078763\n", " 0.15512896 0.0904581 0.59584114 0.37952521 0.40659823] MSE = 0.0007107336001620385 ll= -5.935826565857328\n", "779500 [1. 0.78512574 0.25143187 0.44612138 0.22497306 0.10786246\n", " 0.15512189 0.0904465 0.59586348 0.37947909 0.40654863] MSE = 0.0007093894422855899 ll= -5.9664885937340255\n", "779600 [1. 0.7851533 0.25139962 0.44609622 0.22494419 0.10784862\n", " 0.15514432 0.09045414 0.59586915 0.37954586 0.40662219] MSE = 0.0007153269787806178 ll= -4.82855279620277\n", "779700 [1. 0.78518086 0.25136737 0.4460608 0.22491534 0.10783479\n", " 0.15512827 0.09044253 0.59588763 0.37961006 0.40669189] MSE = 0.0007213004287888352 ll= -7.3926868662932606\n", "779800 [1. 0.78520841 0.25133513 0.44602924 0.22488649 0.10782096\n", " 0.15513787 0.09043093 0.59592792 0.37956393 0.40663973] MSE = 0.0007201320032183081 ll= -4.8453695860148445\n", "779900 [1. 0.78516286 0.2513029 0.44598102 0.22485766 0.10780713\n", " 0.15511798 0.09041934 0.59589254 0.37951526 0.40658759] MSE = 0.0007170388229584453 ll= -1.5059712919558215\n", "780000 [1. 0.78506219 0.25127068 0.44592384 0.22482882 0.10779331\n", " 0.15509809 0.09040774 0.59581613 0.3794666 0.40653545] MSE = 0.0007127727310336788 ll= -1.5059712919558215\n", "780100 [1. 0.78505641 0.25123846 0.44587821 0.2248 0.10777949\n", " 0.15509103 0.09039615 0.59579103 0.37942564 0.40648462] MSE = 0.0007106447118343187 ll= -6.742737737777496\n", "780200 [1. 0.78508396 0.25120626 0.44588258 0.22477118 0.10776567\n", " 0.15512114 0.09040251 0.59579926 0.37940008 0.40646584] MSE = 0.000710738324764842 ll= -6.47686287385266\n", "780300 [1. 0.78511151 0.25117406 0.44585747 0.22474237 0.10775186\n", " 0.15511792 0.09039093 0.59579723 0.37936042 0.40643297] MSE = 0.0007099372685605287 ll= -5.199027107796718\n", "780400 [1. 0.78508907 0.25114187 0.44583237 0.22471357 0.10773805\n", " 0.15510317 0.09037934 0.59576445 0.3793118 0.40638088] MSE = 0.0007072241734356491 ll= -5.038339420380879\n", "780500 [1. 0.78503844 0.25110969 0.44578293 0.22468478 0.10772424\n", " 0.15510636 0.0903716 0.59572142 0.3792632 0.40632881] MSE = 0.0007040876549942319 ll= -1.5059712919558215\n", "780600 [1. 0.78499423 0.25107751 0.44575785 0.22465599 0.10771044\n", " 0.15510442 0.09036003 0.59567457 0.37925176 0.40631775] MSE = 0.0007034059619635158 ll= -4.673796066747885\n", "780700 [1. 0.78502178 0.25105432 0.44575711 0.22462721 0.10769664\n", " 0.15513707 0.09034845 0.59570715 0.37929157 0.40636305] MSE = 0.0007077515971821722 ll= -6.769352033492806\n", "780800 [1. 0.78504931 0.25102216 0.44576278 0.22459844 0.10768285\n", " 0.1551774 0.09037018 0.59573204 0.37936595 0.40643141] MSE = 0.0007138674582774154 ll= -4.363243610607744\n", "780900 [1. 0.78507684 0.25099001 0.4457249 0.22456967 0.10766906\n", " 0.15517674 0.09035861 0.59576844 0.3794416 0.40650743] MSE = 0.0007206215758954653 ll= -5.519594122407716\n", "781000 [1. 0.78507619 0.25095787 0.44573569 0.22454091 0.10765527\n", " 0.15517608 0.09034704 0.59575618 0.37942118 0.40651428] MSE = 0.0007211635861920072 ll= -1.5059712919558215\n", "781100 [1. 0.78510371 0.25092574 0.44574776 0.22451216 0.10764149\n", " 0.1551767 0.09033547 0.59577337 0.37938668 0.40648912] MSE = 0.0007209448199634068 ll= -7.584244628858409\n", "781200 [1. 0.78513123 0.25089361 0.4457355 0.22448342 0.1076277\n", " 0.15520164 0.09032902 0.59579695 0.37938036 0.406455 ] MSE = 0.0007213954089677568 ll= -9.90416511014556\n", "781300 [1. 0.78515873 0.2508615 0.44570405 0.22445469 0.10761393\n", " 0.15525858 0.09038018 0.59583845 0.37945725 0.40653098] MSE = 0.0007281300928028071 ll= -5.977166479983552\n", "781400 [1. 0.78518623 0.25082939 0.44567132 0.22442596 0.10760015\n", " 0.15531166 0.09036862 0.59584155 0.37947395 0.40656086] MSE = 0.0007312375699516068 ll= -5.827209712640569\n", "781500 [1. 0.78521372 0.25079729 0.44564756 0.22439724 0.10758638\n", " 0.15534169 0.09036985 0.59588175 0.37952393 0.40661121] MSE = 0.000736433322674323 ll= -4.649314666321032\n", "781600 [1. 0.7852412 0.2507652 0.44566603 0.22436852 0.10757262\n", " 0.15534613 0.09035829 0.59591171 0.37954319 0.4066334 ] MSE = 0.0007395659469077583 ll= -3.08484000526451\n", "781700 [1. 0.78525205 0.25073311 0.44566658 0.22433982 0.10755885\n", " 0.1553608 0.090348 0.59592758 0.37954452 0.40662231] MSE = 0.0007407032386164261 ll= -5.716590721827988\n", "781800 [1. 0.78516822 0.25070104 0.44560957 0.22431112 0.10754509\n", " 0.15534092 0.09033645 0.59586542 0.37949597 0.40657413] MSE = 0.0007370348764052169 ll= -1.5059712919558215\n", "781900 [1. 0.78506779 0.25066897 0.44555257 0.22428243 0.10753134\n", " 0.15532105 0.09032489 0.5957892 0.37944743 0.40652213] MSE = 0.000732895532263685 ll= -1.5059712919558215\n", "782000 [1. 0.78506075 0.25063691 0.44556465 0.22425374 0.10751759\n", " 0.1553127 0.09031334 0.5957987 0.37945389 0.40652769] MSE = 0.0007344007579699811 ll= -8.03108977848111\n", "782100 [1. 0.78508824 0.25060486 0.44554348 0.22422506 0.10750384\n", " 0.15530051 0.09030179 0.59580563 0.37952941 0.40660358] MSE = 0.000740833942567748 ll= -5.3172141776982915\n", "782200 [1. 0.78511571 0.25057282 0.44554277 0.22419639 0.10749009\n", " 0.15528577 0.09029024 0.59582151 0.37951285 0.40658739] MSE = 0.0007414955144155379 ll= -6.250934867640581\n", "782300 [1. 0.7850473 0.25054078 0.44548837 0.22416773 0.10747635\n", " 0.15526592 0.0902787 0.59576835 0.37947967 0.40653669] MSE = 0.0007385806027346547 ll= -1.5059712919558215\n", "782400 [1. 0.78494695 0.25050876 0.44543142 0.22413908 0.10746261\n", " 0.15524607 0.09026716 0.59569219 0.37943116 0.40648472] MSE = 0.0007345267043101612 ll= -1.5059712919558215\n", "782500 [1. 0.78489775 0.25047674 0.4453796 0.22411043 0.10744888\n", " 0.15522623 0.09025562 0.5956544 0.37938267 0.40643277] MSE = 0.0007316071686711955 ll= -1.5059712919558215\n", "782600 [1. 0.78481661 0.25044473 0.44532268 0.22408179 0.10743514\n", " 0.15520639 0.09024409 0.59558211 0.37933419 0.40638083] MSE = 0.0007279294962620823 ll= -1.5059712919558215\n", "782700 [1. 0.78471633 0.25041273 0.44526578 0.22405316 0.10742142\n", " 0.15518656 0.09023256 0.59550601 0.37928571 0.4063289 ] MSE = 0.0007240176294807734 ll= -1.5059712919558215\n", "782800 [1. 0.78461991 0.25038073 0.44520889 0.22402453 0.10740769\n", " 0.15516673 0.09022103 0.59542992 0.37923726 0.40627699] MSE = 0.0007202065627738121 ll= -1.5059712919558215\n", "782900 [1. 0.78452862 0.25034875 0.44515202 0.22399591 0.10739397\n", " 0.15514691 0.0902095 0.59535386 0.37918881 0.40622509] MSE = 0.0007165092681767095 ll= -1.5059712919558215\n", "783000 [1. 0.78454336 0.25040107 0.44519223 0.22401967 0.1074505\n", " 0.15520245 0.0902759 0.59537617 0.37914548 0.40619492] MSE = 0.0007126190966492644 ll= -6.131095731548471\n", "783100 [1. 0.78457088 0.25049681 0.44526309 0.22411877 0.10750702\n", " 0.15520051 0.09033844 0.59539847 0.37922478 0.40627075] MSE = 0.0007138777034905205 ll= -4.611555517766858\n", "783200 [1. 0.78459839 0.25059252 0.44533393 0.22421785 0.10750223\n", " 0.15520368 0.09032691 0.59542715 0.37919551 0.40624441] MSE = 0.0007093650822659735 ll= -15.955840893081607\n", "783300 [1. 0.78462589 0.2506882 0.44540475 0.22431691 0.10751277\n", " 0.15520684 0.09031537 0.5954737 0.37920199 0.40625511] MSE = 0.0007072567812632154 ll= -8.462265572840636\n", "783400 [1. 0.78463679 0.25072514 0.44543087 0.22434827 0.10749904\n", " 0.15521256 0.09030384 0.59548832 0.37916124 0.40620324] MSE = 0.00070358306395781 ll= -1.5059712919558215\n", "783500 [1. 0.78453664 0.25069313 0.44537401 0.22431963 0.10748532\n", " 0.15519275 0.09029232 0.59541231 0.37911284 0.40615139] MSE = 0.0006997148490271484 ll= -1.5059712919558215\n", "783600 [1. 0.78453989 0.25066114 0.44534014 0.224291 0.1074716\n", " 0.15518826 0.09028079 0.59542948 0.37908105 0.40613146] MSE = 0.0006996197966088627 ll= -5.718039435993582\n", "783700 [1. 0.78456738 0.25062915 0.4453586 0.22426238 0.10745789\n", " 0.15519525 0.09026927 0.59544155 0.3790952 0.40614727] MSE = 0.0007020940255492041 ll= -5.007661204280623\n", "783800 [1. 0.78459487 0.2506112 0.44536557 0.22423376 0.10744418\n", " 0.155178 0.09025775 0.59548552 0.37916805 0.40622304] MSE = 0.0007083993807754029 ll= -8.130767275234652\n", "783900 [1. 0.78453432 0.25057923 0.44531386 0.22420515 0.10743047\n", " 0.15517862 0.09024624 0.59544399 0.37912733 0.40617249] MSE = 0.0007056722488773322 ll= -7.690363338204367\n", "784000 [1. 0.78456181 0.25054726 0.44532593 0.22417655 0.10741676\n", " 0.15520857 0.090236 0.59547391 0.37916954 0.40621508] MSE = 0.000710075208333656 ll= -6.533430128910101\n", "784100 [1. 0.78458418 0.25051531 0.44532398 0.22414796 0.10740306\n", " 0.15519133 0.09022449 0.59548597 0.37914031 0.4061824 ] MSE = 0.0007097222680185322 ll= -1.5059712919558215\n", "784200 [1. 0.78448412 0.25048336 0.44526719 0.22411937 0.10738936\n", " 0.15517153 0.09021298 0.59541002 0.37909195 0.4061306 ] MSE = 0.0007059140745137313 ll= -1.5059712919558215\n", "784300 [1. 0.78439556 0.25045142 0.44521041 0.22409079 0.10737567\n", " 0.15515557 0.09020148 0.59533792 0.37904361 0.40607881] MSE = 0.0007023362606925247 ll= -5.229183774257742\n", "784400 [1. 0.78438098 0.25041948 0.44517532 0.22406222 0.10736198\n", " 0.15516894 0.09019635 0.59532577 0.37902716 0.40602703] MSE = 0.000701149983456693 ll= -1.5059712919558215\n", "784500 [1. 0.78439572 0.25039011 0.44518358 0.22403366 0.10734829\n", " 0.15516446 0.09018485 0.59533146 0.37902218 0.40602371] MSE = 0.0007022307174454907 ll= -5.26312815479029\n", "784600 [1. 0.7844232 0.25035819 0.44522243 0.2240051 0.10733461\n", " 0.1551587 0.09017336 0.59533716 0.37898024 0.40598088] MSE = 0.0007010614343186429 ll= -5.679104356651306\n", "784700 [1. 0.78445068 0.25032628 0.44522177 0.22397655 0.10732093\n", " 0.15513892 0.09016187 0.59537089 0.3789689 0.40599669] MSE = 0.0007031293846179057 ll= -5.970968655579516\n", "784800 [1. 0.78447814 0.25033006 0.44524404 0.22394801 0.10730725\n", " 0.15512043 0.09015038 0.59539187 0.37894482 0.40595897] MSE = 0.0007022404947660076 ll= -6.439020041644073\n", "784900 [1. 0.78450561 0.25029817 0.44525102 0.22391947 0.10729358\n", " 0.15511468 0.09013889 0.59542304 0.3789475 0.40594419] MSE = 0.0007036812319776047 ll= -4.610393005396723\n", "785000 [1. 0.78453306 0.25026628 0.44524525 0.22389094 0.10727991\n", " 0.15513696 0.0901274 0.59544146 0.37893235 0.40593579] MSE = 0.000704718309787545 ll= -4.80602381653261\n", "785100 [1. 0.78456051 0.25023439 0.44523822 0.22386242 0.10726624\n", " 0.15517197 0.0901172 0.59547771 0.3789121 0.40588408] MSE = 0.0007044289298267667 ll= -5.066208482987526\n", "785200 [1. 0.78458795 0.25020252 0.44521844 0.22383391 0.10725258\n", " 0.15515221 0.09010572 0.59548975 0.37893771 0.4058897 ] MSE = 0.0007070776573462557 ll= -6.0181313488026404\n", "785300 [1. 0.78461538 0.25017066 0.44523179 0.2238054 0.10723892\n", " 0.15515537 0.09009424 0.59552343 0.37900917 0.40596536] MSE = 0.0007134428970911686 ll= -5.717413456684992\n", "785400 [1. 0.7846097 0.2501388 0.44524895 0.2237769 0.10722526\n", " 0.15514326 0.09008277 0.59552782 0.37902458 0.4059837 ] MSE = 0.0007156088263786336 ll= -1.5059712919558215\n", "785500 [1. 0.78462567 0.25010695 0.44524828 0.22374841 0.10721161\n", " 0.15523046 0.09008021 0.59551948 0.37899414 0.40594983] MSE = 0.0007149234526585431 ll= -8.693334190626095\n", "785600 [1. 0.78465309 0.25007511 0.4452387 0.22371992 0.10719796\n", " 0.15522215 0.09006875 0.59553278 0.37905792 0.40602164] MSE = 0.0007208168753621593 ll= -5.885192861254405\n", "785700 [1. 0.7846805 0.25007765 0.44523294 0.223722 0.10718432\n", " 0.15521258 0.09005728 0.59557536 0.37912551 0.40609725] MSE = 0.0007261382005941978 ll= -7.179482026525012\n", "785800 [1. 0.7847079 0.25017309 0.44529719 0.2238208 0.10718468\n", " 0.15520809 0.09004582 0.59559374 0.37909635 0.40606084] MSE = 0.0007210467234174899 ll= -9.163923988841765\n", "785900 [1. 0.7847353 0.25026852 0.44536651 0.22391957 0.1072423\n", " 0.1552227 0.09007381 0.5956312 0.37912319 0.40609824] MSE = 0.0007196689507843943 ll= -11.827278678581155\n", "786000 [1. 0.78476269 0.25036391 0.44543199 0.22401832 0.1073419\n", " 0.1552284 0.09016923 0.5956623 0.37916783 0.40614582] MSE = 0.0007186365500194785 ll= -9.013732637191179\n", "786100 [1. 0.78479008 0.25045929 0.44550254 0.22411705 0.10735751\n", " 0.1552112 0.09016539 0.59569084 0.37921756 0.40619593] MSE = 0.0007187746644996084 ll= -9.635876624448727\n", "786200 [1. 0.78481745 0.25055464 0.44557308 0.22421575 0.10737056\n", " 0.15524997 0.09019336 0.59573337 0.37920494 0.40617988] MSE = 0.0007150909323821069 ll= -2.2515469454178336\n", "786300 [1. 0.78484482 0.25064996 0.4456436 0.22431315 0.10736454\n", " 0.15523022 0.09018189 0.59574917 0.37926863 0.40625159] MSE = 0.0007165119182733554 ll= -9.375144764276792\n", "786400 [1. 0.78487219 0.25062826 0.44561236 0.22428462 0.10735088\n", " 0.15525881 0.09017042 0.59577261 0.37934503 0.4063271 ] MSE = 0.0007229213152485972 ll= -4.562573015272941\n", "786500 [1. 0.78489954 0.25059639 0.44560656 0.2242561 0.10733723\n", " 0.15525178 0.09015895 0.59581129 0.37942141 0.40640259] MSE = 0.0007296494312444808 ll= -4.068903888500836\n", "786600 [1. 0.78492689 0.25056453 0.44556262 0.22422759 0.10732359\n", " 0.15528544 0.09014749 0.59584234 0.37949142 0.40646917] MSE = 0.0007359405221469328 ll= -5.347815735295875\n", "786700 [1. 0.78495423 0.25053267 0.44555428 0.22419908 0.10730994\n", " 0.15531909 0.09013603 0.59586575 0.37956267 0.40654462] MSE = 0.0007424041508511461 ll= -3.9591353067157233\n", "786800 [1. 0.78492437 0.25050083 0.44550782 0.22417059 0.1072963\n", " 0.15530571 0.09012457 0.59585611 0.37953731 0.40651455] MSE = 0.0007414270071794233 ll= -1.5059712919558215\n", "786900 [1. 0.78491993 0.25046899 0.44548043 0.22414209 0.10728266\n", " 0.15530122 0.09011312 0.59584265 0.37952084 0.40650737] MSE = 0.000741714245269441 ll= -5.239272570065342\n", "787000 [1. 0.78494726 0.25049943 0.44550769 0.22415555 0.10728301\n", " 0.15535138 0.09011819 0.59585208 0.37956284 0.40655865] MSE = 0.0007443077041806386 ll= -11.56592621398296\n", "787100 [1. 0.78497459 0.25049809 0.44550699 0.22412706 0.10726938\n", " 0.155446 0.09015248 0.59586404 0.37962643 0.40663151] MSE = 0.000749694809735874 ll= -6.676844433100729\n", "787200 [1. 0.78500191 0.25046627 0.44548215 0.22409859 0.10725575\n", " 0.15545039 0.09014102 0.59587727 0.37968746 0.4067069 ] MSE = 0.0007558230397749431 ll= -4.367123723096759\n", "787300 [1. 0.78502922 0.25043445 0.44544588 0.22407012 0.10724212\n", " 0.15543445 0.09012957 0.59589685 0.37968115 0.40667683] MSE = 0.0007564770396890912 ll= -5.714001061076668\n", "787400 [1. 0.78498412 0.25040264 0.44540074 0.22404166 0.1072285\n", " 0.15542106 0.09011813 0.5958707 0.37963292 0.40662517] MSE = 0.0007536861575311197 ll= -1.5059712919558215\n", "787500 [1. 0.78489078 0.25037084 0.44534417 0.22401321 0.10721488\n", " 0.15540132 0.09010668 0.59579502 0.37958471 0.40657353] MSE = 0.0007497401767572099 ll= -1.5059712919558215\n", "787600 [1. 0.7848419 0.25033905 0.44531175 0.22398476 0.10720127\n", " 0.15541587 0.09009524 0.59574349 0.37954159 0.4065219 ] MSE = 0.0007467772835726876 ll= -1.5059712919558215\n", "787700 [1. 0.78481844 0.25030726 0.44528949 0.22395632 0.10718766\n", " 0.15539614 0.0900838 0.59570848 0.37954545 0.40652996] MSE = 0.0007476970705843297 ll= -4.2450255113546245\n", "787800 [1. 0.78484575 0.25031357 0.44529643 0.22395963 0.10717405\n", " 0.1553853 0.09007236 0.59565571 0.37956075 0.40660531] MSE = 0.0007503396188085226 ll= -3.6829295385518708\n", "787900 [1. 0.78487306 0.25040873 0.44536304 0.22405814 0.10716045\n", " 0.15539223 0.09006981 0.59565499 0.37959888 0.40668063] MSE = 0.0007509334466456121 ll= -5.207443820243135\n", "788000 [1. 0.78490037 0.25040107 0.44538901 0.2240462 0.10714685\n", " 0.15537378 0.09005838 0.5956365 0.37961543 0.40675593] MSE = 0.0007544863022678869 ll= -4.537558690131327\n", "788100 [1. 0.78483249 0.25036929 0.44534264 0.22401777 0.10713325\n", " 0.15536802 0.09004695 0.59557614 0.37957741 0.40671827] MSE = 0.0007518315380272619 ll= -1.5059712919558215\n", "788200 [1. 0.78483568 0.25037178 0.4453445 0.22398934 0.10712981\n", " 0.15536861 0.09003553 0.5955767 0.37952925 0.40666667] MSE = 0.0007491693180671302 ll= -1.5059712919558215\n", "788300 [1. 0.78473738 0.25034002 0.445288 0.22396092 0.10711621\n", " 0.1553489 0.09002411 0.59550114 0.3794811 0.40661507] MSE = 0.000745260909482726 ll= -1.5059712919558215\n", "788400 [1. 0.78465559 0.25030826 0.445248 0.22393251 0.10710263\n", " 0.15533173 0.09001269 0.59543448 0.37943296 0.40656349] MSE = 0.0007416514348706433 ll= -7.974757745369702\n", "788500 [1. 0.78456114 0.25027651 0.44519153 0.22390411 0.10708904\n", " 0.15531329 0.09000127 0.59536149 0.37938483 0.40651192] MSE = 0.0007379170272723388 ll= -1.5059712919558215\n", "788600 [1. 0.784539 0.25024477 0.44515029 0.22387571 0.10707546\n", " 0.15532023 0.09000761 0.59532911 0.37937349 0.40649841] MSE = 0.0007377954685651657 ll= -5.906423174121276\n", "788700 [1. 0.78456632 0.25021304 0.44515851 0.22384732 0.10706188\n", " 0.15530434 0.0899962 0.59534745 0.37944078 0.40657367] MSE = 0.0007440005049927027 ll= -7.675147071993589\n", "788800 [1. 0.78459237 0.25018131 0.44516419 0.22381894 0.10704831\n", " 0.15532649 0.08998479 0.59536706 0.37943451 0.40657665] MSE = 0.0007456345560812432 ll= -1.5059712919558215\n", "788900 [1. 0.78450051 0.25014959 0.44510776 0.22379057 0.10703474\n", " 0.1553068 0.08997338 0.59529539 0.37938641 0.4065251 ] MSE = 0.0007419918794581532 ll= -1.5059712919558215\n", "789000 [1. 0.78443402 0.25011789 0.44507289 0.2237622 0.10702117\n", " 0.15530739 0.08997465 0.59524655 0.37934719 0.40647357] MSE = 0.0007390930156016392 ll= -9.648107131690002\n", "789100 [1. 0.78443219 0.25008619 0.44504183 0.22373384 0.1070076\n", " 0.15536122 0.0900038 0.59524335 0.37929911 0.40642205] MSE = 0.0007371354346306365 ll= -1.5059712919558215\n", "789200 [1. 0.78441642 0.25005449 0.44500697 0.22370549 0.10699404\n", " 0.15537321 0.0899924 0.59523128 0.37925105 0.40637055] MSE = 0.0007350553270867462 ll= -1.5059712919558215\n", "789300 [1. 0.78432843 0.25002281 0.44495058 0.22367714 0.10698049\n", " 0.15535352 0.08998099 0.59516092 0.37920299 0.40631906] MSE = 0.0007315956238010129 ll= -5.714839562599423\n", "789400 [1. 0.78424553 0.24999113 0.44489421 0.2236488 0.10696693\n", " 0.15533384 0.08996959 0.59509946 0.37915495 0.40626758] MSE = 0.0007283356900682589 ll= -5.555023833747906\n", "789500 [1. 0.78420953 0.24995946 0.44485179 0.22362047 0.10695338\n", " 0.1553433 0.08996706 0.59506461 0.37910692 0.40621611] MSE = 0.0007258515207779551 ll= -1.5059712919558215\n", "789600 [1. 0.7841102 0.2499278 0.44479544 0.22359215 0.10693984\n", " 0.15532362 0.08995567 0.59498923 0.3790589 0.40616466] MSE = 0.0007223353423939757 ll= -1.5059712919558215\n", "789700 [1. 0.78401089 0.24989615 0.44473911 0.22356383 0.10692629\n", " 0.15530395 0.08994428 0.59491388 0.37901089 0.40611322] MSE = 0.0007188723959408465 ll= -1.5059712919558215\n", "789800 [1. 0.78392048 0.2498721 0.44468279 0.22353552 0.10691275\n", " 0.15528429 0.08993289 0.59484488 0.3789629 0.4060618 ] MSE = 0.000715477256219657 ll= -1.5059712919558215\n", "789900 [1. 0.78394404 0.24984047 0.44468346 0.22350722 0.10689921\n", " 0.15531654 0.0899215 0.59486959 0.37891492 0.40601038] MSE = 0.0007141869920043262 ll= -8.422696983493505\n", "790000 [1. 0.78388657 0.24980884 0.44465122 0.22347892 0.10688568\n", " 0.15530194 0.08991012 0.59481707 0.37886695 0.40595898] MSE = 0.0007113954710938238 ll= -7.769233445546334\n", "790100 [1. 0.78390759 0.24978354 0.44463291 0.22345063 0.10687468\n", " 0.15530633 0.0899038 0.59484051 0.37881899 0.40590759] MSE = 0.0007100128347540445 ll= -1.5059712919558215\n", "790200 [1. 0.78384382 0.24975193 0.44460321 0.22342235 0.10686116\n", " 0.15529047 0.08989242 0.59479813 0.37878496 0.40587521] MSE = 0.0007082877391551242 ll= -2.407839239464968\n", "790300 [1. 0.78384586 0.24972032 0.44458745 0.22339408 0.10684763\n", " 0.15530246 0.08990888 0.59480511 0.37879904 0.40588712] MSE = 0.0007104102958891134 ll= -1.5059712919558215\n", "790400 [1. 0.78385044 0.24973807 0.44459699 0.22337467 0.10686069\n", " 0.15528533 0.08989751 0.59482855 0.37877262 0.40583576] MSE = 0.0007081687285039207 ll= -13.519448516105887\n", "790500 [1. 0.78387146 0.24973558 0.44461538 0.22334767 0.10686614\n", " 0.15528087 0.08988613 0.59484944 0.37880314 0.40587424] MSE = 0.0007111275474098071 ll= -1.5059712919558215\n", "790600 [1. 0.78381278 0.24970398 0.44455914 0.22331942 0.10685262\n", " 0.15526123 0.08987476 0.59478052 0.37877166 0.40584567] MSE = 0.0007095262690807311 ll= -5.586255160833449\n", "790700 [1. 0.78384012 0.24976474 0.44458765 0.22337718 0.10684923\n", " 0.15530736 0.08991272 0.59477232 0.37875917 0.4058386 ] MSE = 0.0007067465090950284 ll= -7.389485425893538\n", "790800 [1. 0.78386746 0.24985962 0.44465537 0.2234754 0.10683572\n", " 0.15530037 0.08990135 0.59479069 0.37871127 0.40578728] MSE = 0.0007005298919870021 ll= -6.876105008067399\n", "790900 [1. 0.78389479 0.24990137 0.44466363 0.2235129 0.10682221\n", " 0.15530855 0.08988998 0.59479388 0.37871649 0.40579287] MSE = 0.0006998540484548777 ll= -6.104528418534988\n", "791000 [1. 0.78384752 0.24986977 0.44462764 0.22348464 0.1068087\n", " 0.15528891 0.08987862 0.5947212 0.37866861 0.40574156] MSE = 0.0006970451120069242 ll= -1.5059712919558215\n", "791100 [1. 0.78383439 0.24983818 0.44459418 0.22345638 0.1067952\n", " 0.15534893 0.08990392 0.59472061 0.37863843 0.40569027] MSE = 0.0006957281587161809 ll= -4.696251259699069\n", "791200 [1. 0.7838339 0.2498066 0.44456959 0.22342814 0.1067817\n", " 0.15532929 0.08989255 0.59470863 0.37859057 0.40563898] MSE = 0.0006939994872191162 ll= -4.420540776334867\n", "791300 [1. 0.78374368 0.24977503 0.4445134 0.2233999 0.1067682\n", " 0.15530966 0.08988119 0.59463347 0.37854272 0.40558771] MSE = 0.0006908822101142896 ll= -1.5059712919558215\n", "791400 [1. 0.78364464 0.24974346 0.44445722 0.22337167 0.10675471\n", " 0.15529003 0.08986983 0.59455832 0.37849488 0.40553646] MSE = 0.0006877243769838011 ll= -1.5059712919558215\n", "791500 [1. 0.78365681 0.2497119 0.44440864 0.22334344 0.10674122\n", " 0.15527041 0.08985848 0.59457544 0.3785254 0.40555092] MSE = 0.0006908206759732619 ll= -3.8751886796907615\n", "791600 [1. 0.78368414 0.24968035 0.44436008 0.22331522 0.10672773\n", " 0.15525837 0.08984713 0.5946115 0.37858749 0.40560455] MSE = 0.0006963862124281233 ll= -6.605680390748818\n", "791700 [1. 0.78365968 0.24964881 0.44431278 0.22328701 0.10671425\n", " 0.15523876 0.08983578 0.59457175 0.37856872 0.40559247] MSE = 0.0006963613306228021 ll= -5.714791943360605\n", "791800 [1. 0.783687 0.24961728 0.44429203 0.22325881 0.10670077\n", " 0.15523936 0.08982443 0.59460149 0.37860553 0.40562713] MSE = 0.0007004368836718732 ll= -2.847114454638151\n", "791900 [1. 0.78371432 0.24958575 0.44427886 0.22323061 0.10668729\n", " 0.15522607 0.08981308 0.59462996 0.37866128 0.40568831] MSE = 0.0007058437830726377 ll= -7.553547374088449\n", "792000 [1. 0.78374163 0.24955424 0.44425685 0.22320242 0.10667382\n", " 0.15522793 0.08980174 0.59464074 0.37873343 0.40576335] MSE = 0.0007120534413699415 ll= -3.627867736254331\n", "792100 [1. 0.78376894 0.24952273 0.44423864 0.22317424 0.10666035\n", " 0.15522727 0.0897904 0.59467298 0.37880682 0.40583838] MSE = 0.0007185156416003461 ll= -4.305801964409945\n", "792200 [1. 0.78379624 0.24949123 0.44420654 0.22314607 0.10664689\n", " 0.15520768 0.08977907 0.59467491 0.37888398 0.40591339] MSE = 0.0007248907628311485 ll= -7.594336651349108\n", "792300 [1. 0.78382353 0.24955567 0.44426155 0.22321257 0.10663848\n", " 0.15518808 0.08976774 0.59470462 0.37891568 0.40593789] MSE = 0.0007245169767695079 ll= -12.422352373279809\n", "792400 [1. 0.78385081 0.24958097 0.44427868 0.22323236 0.10663638\n", " 0.15524549 0.08975641 0.59471412 0.37898523 0.40601287] MSE = 0.0007284376775330281 ll= -4.437978590442417\n", "792500 [1. 0.78386547 0.24954947 0.44424533 0.22320419 0.10662292\n", " 0.15523347 0.08974508 0.59472615 0.3790106 0.40603862] MSE = 0.00073173941701584 ll= -1.5059712919558215\n", "792600 [1. 0.78385489 0.24951798 0.4442082 0.22317603 0.10660946\n", " 0.15526814 0.08973375 0.59470662 0.37896278 0.40598738] MSE = 0.0007298938012250093 ll= -5.351522131612099\n", "792700 [1. 0.78381277 0.2494865 0.44417361 0.22314787 0.10659601\n", " 0.15526747 0.08972243 0.59467827 0.37893263 0.40596139] MSE = 0.0007289478780518486 ll= -1.5059712919558215\n", "792800 [1. 0.78374795 0.24945503 0.44414406 0.22311972 0.10658257\n", " 0.15524789 0.08971111 0.59462344 0.37888482 0.40591018] MSE = 0.0007261740278451877 ll= -1.5059712919558215\n", "792900 [1. 0.78364909 0.24942356 0.44408804 0.22309157 0.10656912\n", " 0.1552283 0.0896998 0.59454844 0.37883703 0.40585898] MSE = 0.0007230412326668557 ll= -1.5059712919558215\n", "793000 [1. 0.78362215 0.2494476 0.44408627 0.22309245 0.10655694\n", " 0.15521251 0.08968849 0.59453273 0.37878925 0.40580779] MSE = 0.0007192880597651506 ll= -6.349445988739801\n", "793100 [1. 0.78364943 0.24954224 0.44415637 0.22319042 0.10657755\n", " 0.15523203 0.08967718 0.59457755 0.37877806 0.40578815] MSE = 0.0007148648556764823 ll= -7.955981281892951\n", "793200 [1. 0.78367671 0.24963687 0.44422645 0.22328836 0.10662716\n", " 0.15522885 0.08970874 0.59458202 0.37882865 0.40585298] MSE = 0.0007141410447805187 ll= -7.392215577311553\n", "793300 [1. 0.78370398 0.24973147 0.44429652 0.22338376 0.10673979\n", " 0.15523449 0.0898235 0.59461422 0.37878467 0.40580938] MSE = 0.0007067817883312494 ll= -6.704688984134786\n", "793400 [1. 0.78373125 0.24982604 0.44436027 0.2234804 0.10685239\n", " 0.15522627 0.08993823 0.59462498 0.37873692 0.40575823] MSE = 0.0006989855649773417 ll= -10.63276229965945\n", "793500 [1. 0.78375851 0.24992059 0.44440509 0.2235392 0.10696496\n", " 0.15523569 0.09005294 0.59463448 0.37873708 0.40576002] MSE = 0.0006950709026247045 ll= -5.769699692509497\n", "793600 [1. 0.78378576 0.24997606 0.44445999 0.22359294 0.10698299\n", " 0.15529805 0.09006805 0.59466793 0.37881537 0.40583491] MSE = 0.0006978641765666516 ll= -4.076083950311542\n", "793700 [1. 0.783813 0.24994708 0.44446699 0.22356477 0.10696951\n", " 0.15530998 0.09006174 0.59469632 0.37888357 0.40590978] MSE = 0.000703905762465957 ll= -6.376131554335691\n", "793800 [1. 0.78384024 0.24991559 0.44444122 0.2235366 0.10695603\n", " 0.15530175 0.0900504 0.59472723 0.378953 0.40598337] MSE = 0.000710213930267368 ll= -4.608111815942514\n", "793900 [1. 0.78383724 0.2498841 0.44440539 0.22350844 0.10694255\n", " 0.15528219 0.09003905 0.59472663 0.37893928 0.40597254] MSE = 0.0007108397552478983 ll= -7.98485911909597\n", "794000 [1. 0.78386447 0.24985263 0.44442877 0.22348029 0.10692908\n", " 0.15529412 0.09002771 0.59475249 0.37900365 0.40603854] MSE = 0.0007164910361842467 ll= -5.754246393799871\n", "794100 [1. 0.78389169 0.24988539 0.44445088 0.22350504 0.10692317\n", " 0.15528589 0.09002141 0.59479219 0.37896348 0.40598741] MSE = 0.0007132704481298655 ll= -5.4037958100214185\n", "794200 [1. 0.7839189 0.24997985 0.44451832 0.22360282 0.10702556\n", " 0.1553356 0.09010074 0.59482811 0.37892457 0.40594006] MSE = 0.0007064006791361573 ll= -12.08145340084661\n", "794300 [1. 0.78394611 0.25007429 0.44458826 0.22370058 0.107138\n", " 0.15532486 0.09021531 0.59484135 0.37900277 0.40601486] MSE = 0.0007064937868893272 ll= -3.55023679255044\n", "794400 [1. 0.78397331 0.2501687 0.44465693 0.22379705 0.10725041\n", " 0.15533929 0.09032985 0.59486466 0.37906584 0.40608334] MSE = 0.0007062052080304712 ll= -7.060361128286836\n", "794500 [1. 0.7840005 0.25026309 0.44472684 0.22389476 0.10736279\n", " 0.15532729 0.09044436 0.59489804 0.37905086 0.40603223] MSE = 0.000699950094031635 ll= -4.094686435413562\n", "794600 [1. 0.78402769 0.25035746 0.44479547 0.22399245 0.10747514\n", " 0.15536186 0.09055884 0.59492008 0.37902958 0.40600252] MSE = 0.0006942173619933843 ll= -6.576846851665692\n", "794700 [1. 0.78405487 0.2504518 0.44486534 0.22403599 0.10758747\n", " 0.15538007 0.09067329 0.59494966 0.37898188 0.40595142] MSE = 0.0006880811448548331 ll= -9.866490232191166\n", "794800 [1. 0.78408204 0.25054612 0.44493268 0.22409211 0.10768718\n", " 0.15536051 0.09071096 0.5949654 0.37893419 0.40590034] MSE = 0.0006818885876855268 ll= -8.059940787391843\n", "794900 [1. 0.78410921 0.25064041 0.44499497 0.22415954 0.10778309\n", " 0.15537494 0.09079517 0.59498113 0.37895445 0.40592602] MSE = 0.0006799905509063311 ll= -3.73351117588721\n", "795000 [1. 0.78413637 0.25065417 0.44498805 0.22416908 0.10777205\n", " 0.15538558 0.09079633 0.59501698 0.37899987 0.40598314] MSE = 0.0006835304548823202 ll= -10.471069990954327\n", "795100 [1. 0.78413962 0.25062264 0.44496981 0.22414088 0.10775849\n", " 0.15536604 0.09078491 0.59504025 0.37900252 0.40597987] MSE = 0.0006849584192753436 ll= -1.5059712919558215\n", "795200 [1. 0.78408251 0.25059112 0.44492517 0.22411269 0.10774494\n", " 0.15535907 0.09077349 0.59498679 0.37895485 0.40592881] MSE = 0.000682036126143995 ll= -7.455991007351823\n", "795300 [1. 0.78404301 0.25055961 0.44489437 0.22408451 0.10773139\n", " 0.15537475 0.09076207 0.59496227 0.37891097 0.40588405] MSE = 0.0006798988272539665 ll= -5.408287103077656\n", "795400 [1. 0.7840689 0.2505281 0.44485854 0.22405633 0.10771784\n", " 0.15535898 0.09075066 0.59499686 0.37894757 0.40590218] MSE = 0.0006834424451394188 ll= -1.5059712919558215\n", "795500 [1. 0.78408097 0.25049661 0.44486799 0.22402816 0.1077043\n", " 0.15535705 0.09073925 0.59502892 0.37892004 0.40587126] MSE = 0.0006832170636176423 ll= -2.2571620816614337\n", "795600 [1. 0.78410811 0.25046512 0.44486361 0.224 0.10769076\n", " 0.15533752 0.09072784 0.59503834 0.37898554 0.40594595] MSE = 0.000689043254460371 ll= -5.447458497564497\n", "795700 [1. 0.7840636 0.25043363 0.44482278 0.22397185 0.10767722\n", " 0.155318 0.09071644 0.59501006 0.37897939 0.40594268] MSE = 0.0006892727064469716 ll= -7.448407751509973\n", "795800 [1. 0.78403167 0.25040216 0.44478195 0.2239437 0.10766369\n", " 0.15532236 0.09070504 0.59499937 0.3789393 0.40589167] MSE = 0.0006873323583244367 ll= -1.5059712919558215\n", "795900 [1. 0.78393441 0.2503707 0.44472606 0.22391556 0.10765016\n", " 0.15530284 0.09069364 0.5949246 0.37889168 0.40584066] MSE = 0.000683882734315302 ll= -1.5059712919558215\n", "796000 [1. 0.78383591 0.25033924 0.44467018 0.22388742 0.10763664\n", " 0.15528333 0.09068225 0.59484986 0.37884408 0.40578967] MSE = 0.0006804717368420684 ll= -1.5059712919558215\n", "796100 [1. 0.78374749 0.25030779 0.44461432 0.2238593 0.10762312\n", " 0.15526382 0.09067085 0.59477513 0.37879648 0.40573869] MSE = 0.0006772172515264773 ll= -1.5059712919558215\n", "796200 [1. 0.78364904 0.25027635 0.44455847 0.22383118 0.1076096\n", " 0.15524432 0.09065946 0.59470041 0.3787489 0.40568773] MSE = 0.0006739089073660933 ll= -1.5059712919558215\n", "796300 [1. 0.78359332 0.2502625 0.44454283 0.22381562 0.10759608\n", " 0.15522482 0.09064808 0.59465838 0.37870133 0.40563677] MSE = 0.0006706738100520096 ll= -6.994875147024257\n", "796400 [1. 0.78362049 0.25035665 0.44460756 0.2239131 0.1076441\n", " 0.1552543 0.09067437 0.59467035 0.37870652 0.40563732] MSE = 0.0006672124358826405 ll= -5.355868992393017\n", "796500 [1. 0.78364766 0.25045078 0.44467479 0.22401055 0.10775615\n", " 0.15523606 0.09078855 0.59468734 0.37865897 0.40558639] MSE = 0.0006601518049060292 ll= -12.407591156676283\n", "796600 [1. 0.78367483 0.25054488 0.44474074 0.22409416 0.1078506\n", " 0.15524545 0.09087759 0.59471814 0.37861519 0.40553547] MSE = 0.0006538221390851539 ll= -5.186146947636026\n", "796700 [1. 0.78370198 0.25058248 0.44480291 0.22413131 0.10786091\n", " 0.15527115 0.09087873 0.59474768 0.37861411 0.40556365] MSE = 0.0006536517472327491 ll= -5.182924782397632\n", "796800 [1. 0.78372913 0.25067654 0.44486005 0.22422869 0.10786118\n", " 0.15528681 0.09086733 0.59478725 0.37860801 0.40554914] MSE = 0.0006502727968023634 ll= -8.80798035736701\n", "796900 [1. 0.78375628 0.25077058 0.44492972 0.22432605 0.10785517\n", " 0.15535015 0.09088855 0.59482806 0.37860316 0.40556476] MSE = 0.0006479055015425144 ll= -6.580347108908313\n", "797000 [1. 0.78378341 0.2508646 0.44499937 0.22442339 0.10786171\n", " 0.15533568 0.09087715 0.59485004 0.37855565 0.40551387] MSE = 0.0006420456080457981 ll= -5.11623611912524\n", "797100 [1. 0.78381054 0.25095859 0.44506901 0.2245207 0.10787704\n", " 0.1553187 0.09086575 0.59488457 0.37850816 0.40546299] MSE = 0.0006363153293471883 ll= -5.7651360357947254\n", "797200 [1. 0.78383766 0.25102873 0.4451311 0.22456906 0.10793878\n", " 0.15530674 0.09091582 0.59492285 0.37849329 0.40541212] MSE = 0.0006323810015522436 ll= -6.611272467173013\n", "797300 [1. 0.78386478 0.25099724 0.4451154 0.22454089 0.10792524\n", " 0.15528976 0.09090442 0.59495986 0.37844581 0.40536126] MSE = 0.0006312616913732182 ll= -7.258921634481023\n", "797400 [1. 0.78389189 0.25096576 0.44508215 0.22451273 0.1079117\n", " 0.15530791 0.09090806 0.59500314 0.37848238 0.40539947] MSE = 0.0006353765336655246 ll= -8.103714503058224\n", "797500 [1. 0.78381741 0.25093429 0.44503135 0.22448457 0.10789817\n", " 0.15528844 0.09089666 0.59494106 0.37843993 0.4053549 ] MSE = 0.0006326295835764753 ll= -1.5059712919558215\n", "797600 [1. 0.78381066 0.25091536 0.44502571 0.22445643 0.10788966\n", " 0.15528652 0.09088527 0.59490909 0.37839248 0.40530658] MSE = 0.0006302618929619418 ll= -6.600751340888832\n", "797700 [1. 0.78383776 0.2508839 0.44499624 0.22442828 0.10787613\n", " 0.15529087 0.09087387 0.59491851 0.37843029 0.40534729] MSE = 0.0006341380558418499 ll= -4.943476877648497\n", "797800 [1. 0.78386486 0.25085245 0.44498809 0.22440015 0.1078626\n", " 0.15533158 0.09088003 0.59493293 0.37843926 0.405393 ] MSE = 0.0006373404310710828 ll= -5.531855805767777\n", "797900 [1. 0.78387566 0.25083104 0.44497117 0.22437202 0.10784908\n", " 0.15535598 0.09086864 0.59493858 0.37839183 0.40534219] MSE = 0.000635604747481603 ll= -1.5059712919558215\n", "798000 [1. 0.78379622 0.2507996 0.4449154 0.2243439 0.10783557\n", " 0.15533651 0.09085725 0.59486652 0.3783444 0.40529139] MSE = 0.0006324446600193301 ll= -5.3286647558934765\n", "798100 [1. 0.78375063 0.25076817 0.44485965 0.22431579 0.10782206\n", " 0.15533083 0.09084586 0.59481328 0.37829699 0.4052406 ] MSE = 0.0006298728637866599 ll= -1.5059712919558215\n", "798200 [1. 0.78365242 0.25073675 0.44480391 0.22428768 0.10780855\n", " 0.15531136 0.09083448 0.59473875 0.37824959 0.40518983] MSE = 0.000626576531041541 ll= -1.5059712919558215\n", "798300 [1. 0.78367828 0.25070534 0.44483087 0.22425958 0.10779504\n", " 0.15533576 0.09083187 0.59475821 0.3782022 0.40513906] MSE = 0.0006251602568817728 ll= -6.622846714411583\n", "798400 [1. 0.78370537 0.25067393 0.44483026 0.22423149 0.10778154\n", " 0.1553664 0.09082049 0.59478642 0.37816234 0.40508831] MSE = 0.0006241970762490607 ll= -4.143197183953004\n", "798500 [1. 0.78373246 0.25064254 0.44482465 0.22420341 0.10776804\n", " 0.15535321 0.09080912 0.59481212 0.37811999 0.40503758] MSE = 0.000623162627746273 ll= -6.8147594009579215\n", "798600 [1. 0.78371822 0.25061115 0.44482279 0.22417533 0.10775454\n", " 0.15536005 0.09081403 0.59480276 0.37807264 0.40498685] MSE = 0.0006211960079655064 ll= -1.5059712919558215\n", "798700 [1. 0.78363887 0.25057976 0.44476709 0.22414726 0.10774105\n", " 0.1553406 0.09080265 0.5947408 0.37803281 0.40493989] MSE = 0.0006186114525681184 ll= -8.713468939128163\n", "798800 [1. 0.78366596 0.25054839 0.44472267 0.22411919 0.10772756\n", " 0.15534869 0.09079129 0.59478402 0.37810692 0.40501189] MSE = 0.0006248104278760485 ll= -4.298004713166331\n", "798900 [1. 0.78369304 0.25051703 0.44472459 0.22409114 0.10771407\n", " 0.15534301 0.09077992 0.59480846 0.37818102 0.40508638] MSE = 0.0006307160916134576 ll= -4.067428358708284\n", "799000 [1. 0.78372012 0.25053949 0.44473526 0.22410064 0.10774815\n", " 0.15537364 0.09081737 0.59481036 0.37823257 0.40514833] MSE = 0.00063343684744991 ll= -11.503643710052547\n", "799100 [1. 0.78374718 0.25063329 0.44476596 0.22410263 0.10782728\n", " 0.15539549 0.09088986 0.59483104 0.37830538 0.40522278] MSE = 0.0006357638282485445 ll= -6.276481172000116\n", "799200 [1. 0.78377425 0.25068702 0.44481667 0.22415593 0.10781504\n", " 0.15537605 0.09087849 0.59487298 0.37837818 0.40529721] MSE = 0.0006388477664671222 ll= -5.356010124590423\n", "799300 [1. 0.7838013 0.25065566 0.44482983 0.22412788 0.10780155\n", " 0.15537287 0.09086712 0.59490741 0.37843468 0.40535786] MSE = 0.0006439695418919417 ll= -5.312608429889223\n", "799400 [1. 0.78375328 0.2506243 0.44478419 0.22409984 0.10778806\n", " 0.15535719 0.09085575 0.59486301 0.37839109 0.40530714] MSE = 0.0006415311121569412 ll= -14.850336275554605\n", "799500 [1. 0.78378034 0.25059294 0.44478109 0.2240718 0.10777458\n", " 0.15539905 0.09085314 0.59488742 0.37835126 0.40526145] MSE = 0.0006406809883056082 ll= -5.286188197223781\n", "799600 [1. 0.78379362 0.25062039 0.4448005 0.22406379 0.10777111\n", " 0.15539087 0.09084428 0.5948868 0.3783227 0.40521076] MSE = 0.0006380613693039473 ll= -10.464684944601082\n", "799700 [1. 0.78382066 0.25071411 0.44486993 0.22416083 0.10780015\n", " 0.15546523 0.09089045 0.59490745 0.37827539 0.40516508] MSE = 0.000632151163269904 ll= -5.232702288077221\n", "799800 [1. 0.78384769 0.2508078 0.4449356 0.2242541 0.10779667\n", " 0.15546955 0.09087908 0.59495186 0.37822809 0.40512317] MSE = 0.0006269912292763042 ll= -4.978842444643784\n", "799900 [1. 0.78387472 0.25090148 0.44500125 0.22435109 0.10781945\n", " 0.15547262 0.09088147 0.59496249 0.37818955 0.40507252] MSE = 0.0006212539282218474 ll= -5.818119724452541\n", "800000 [1. 0.78390174 0.25099512 0.44507063 0.22444806 0.10788724\n", " 0.15551944 0.09092512 0.59498187 0.37816477 0.40504438] MSE = 0.0006163884211144849 ll= -5.307791643021066\n", "800100 [1. 0.78392875 0.25108875 0.44514 0.224545 0.107885\n", " 0.155545 0.0909425 0.5950125 0.3781575 0.40504 ] MSE = 0.0006133795218749989 ll= -3.8231733474528697\n", "800200 [1. 0.78395576 0.25118235 0.44520935 0.22464192 0.10790276\n", " 0.15554181 0.09095988 0.59505687 0.37822897 0.40511436] MSE = 0.0006149559187456544 ll= -10.547428373003319\n", "800300 [1. 0.78398275 0.25127593 0.44527868 0.22473882 0.10801425\n", " 0.15553862 0.09107348 0.59509623 0.37827043 0.40517246] MSE = 0.00061453872628929 ll= -5.718074367125776\n", "800400 [1. 0.78400975 0.25136949 0.44534799 0.22483569 0.1081257\n", " 0.15554417 0.09118705 0.59511308 0.37822567 0.40512183] MSE = 0.0006083026763876335 ll= -9.816445446777047\n", "800500 [1. 0.78403673 0.25146302 0.44541729 0.22493253 0.10820965\n", " 0.15552724 0.09123563 0.59512119 0.37817841 0.40507121] MSE = 0.0006021876664560498 ll= -6.708003062144504\n", "800600 [1. 0.78406371 0.25155653 0.44548532 0.22502936 0.10832105\n", " 0.15554403 0.09134916 0.59513304 0.37816615 0.40505684] MSE = 0.0005980896528433397 ll= -7.98672404866736\n", "800700 [1. 0.78409068 0.25165001 0.44555084 0.22512616 0.10843243\n", " 0.15555958 0.09146265 0.59514239 0.37820884 0.40510867] MSE = 0.0005975833217704324 ll= -8.683217653844391\n", "800800 [1. 0.78411765 0.25174347 0.44557013 0.22516423 0.10854377\n", " 0.1555464 0.09157612 0.595143 0.37816161 0.40506432] MSE = 0.0005926214395379457 ll= -6.817511431101326\n", "800900 [1. 0.78414461 0.25183691 0.44561813 0.225251 0.10865509\n", " 0.15554945 0.09161214 0.59513736 0.37813561 0.40503621] MSE = 0.0005879740403479628 ll= -10.515072341157238\n", "801000 [1. 0.78417156 0.25182919 0.44560494 0.22523037 0.10866275\n", " 0.15555125 0.0916007 0.59513173 0.37820202 0.4051105 ] MSE = 0.0005926793428094107 ll= -14.013269782173754\n", "801100 [1. 0.7841985 0.2518789 0.44562921 0.22523845 0.10866916\n", " 0.15555056 0.09158926 0.59516604 0.37826092 0.40517478] MSE = 0.0005959658450309435 ll= -5.482586582392861\n", "801200 [1. 0.78422544 0.25184746 0.44561852 0.22521034 0.1086556\n", " 0.15561353 0.09159406 0.59520035 0.37830858 0.40522407] MSE = 0.000600474984630212 ll= -6.510020039336982\n", "801300 [1. 0.78424988 0.25191588 0.44565901 0.22528083 0.10865577\n", " 0.15563655 0.09158387 0.5951972 0.37831877 0.40523465] MSE = 0.000599233990489379 ll= -9.985680379737513\n", "801400 [1. 0.7842768 0.25200923 0.44572445 0.22537502 0.10865718\n", " 0.15564333 0.09157619 0.59522775 0.37832023 0.40523524] MSE = 0.000597093151135196 ll= -6.6224934345744835\n", "801500 [1. 0.78430372 0.25210257 0.44578987 0.22547167 0.10866484\n", " 0.15562391 0.09156476 0.59527202 0.37827302 0.40518592] MSE = 0.0005921916842871668 ll= -9.035990424165607\n", "801600 [1. 0.78433063 0.25219588 0.44585901 0.22556831 0.108665\n", " 0.15563319 0.09156581 0.59528759 0.37829944 0.40521896] MSE = 0.0005916321167925933 ll= -8.8672303873121\n", "801700 [1. 0.78435753 0.25228917 0.44592814 0.22566492 0.10868638\n", " 0.15562375 0.09155439 0.59532685 0.37828718 0.40518214] MSE = 0.0005880491654647762 ll= -7.181058832816383\n", "801800 [1. 0.78438443 0.25238244 0.44599726 0.22576151 0.10876512\n", " 0.15561806 0.09161532 0.59534988 0.37824623 0.40513908] MSE = 0.00058310017790957 ll= -8.877495146984966\n", "801900 [1. 0.78441132 0.25247568 0.44606635 0.22585807 0.10886381\n", " 0.15562734 0.09171115 0.59537541 0.37820654 0.40508855] MSE = 0.000577996069008966 ll= -9.909773898754219\n", "802000 [1. 0.78443821 0.25254271 0.44611922 0.22592218 0.10887018\n", " 0.15562913 0.09169971 0.59540716 0.37822796 0.40508667] MSE = 0.0005773456739232631 ll= -9.541856389747004\n", "802100 [1. 0.78446509 0.25251496 0.44610973 0.22589401 0.10885661\n", " 0.15560973 0.09168828 0.59545262 0.37829052 0.40512344] MSE = 0.0005818016039558222 ll= -5.516669048594162\n", "802200 [1. 0.78449196 0.25249345 0.44609026 0.22586585 0.10884304\n", " 0.155619 0.09167685 0.59549183 0.3783032 0.40514275] MSE = 0.0005842560372925448 ll= -17.100586137098706\n", "802300 [1. 0.78451882 0.25248691 0.44610197 0.2258377 0.10882947\n", " 0.15565445 0.09167415 0.5954924 0.37833707 0.40517951] MSE = 0.0005871598712927183 ll= -5.564123720082073\n", "802400 [1. 0.78454568 0.25245544 0.44606756 0.22580955 0.1088159\n", " 0.15565873 0.09166272 0.59552786 0.3783996 0.40523994] MSE = 0.0005923858584682477 ll= -5.395259802232635\n", "802500 [1. 0.78457253 0.25242398 0.44607552 0.22578141 0.10880234\n", " 0.15564307 0.0916513 0.59554212 0.37845837 0.40530284] MSE = 0.0005972694020001802 ll= -6.748171912906674\n", "802600 [1. 0.78459938 0.25239252 0.44603988 0.22575327 0.10878879\n", " 0.15564112 0.09163988 0.59557259 0.37849844 0.40534206] MSE = 0.0006011958207868714 ll= -2.518143042059988\n", "802700 [1. 0.78462621 0.25237852 0.44605283 0.22572514 0.10877523\n", " 0.15565163 0.09162846 0.59557314 0.37850361 0.40534887] MSE = 0.0006024876369362054 ll= -6.52602225743012\n", "802800 [1. 0.78465305 0.25234708 0.44606952 0.22569702 0.10876168\n", " 0.15565093 0.09161704 0.59558366 0.37845646 0.40529837] MSE = 0.0006008979641378092 ll= -6.095187918960426\n", "802900 [1. 0.78467987 0.25243647 0.44613229 0.22570503 0.10875187\n", " 0.1556415 0.09160563 0.59560164 0.37840932 0.40524788] MSE = 0.0005971459300289786 ll= -7.233729539895801\n", "803000 [1. 0.78470669 0.25244862 0.44614771 0.22571927 0.10875078\n", " 0.15562959 0.09159422 0.59561714 0.37836219 0.40519741] MSE = 0.0005944161376407592 ll= -4.737265990576484\n", "803100 [1. 0.7847335 0.25241719 0.4461457 0.22569116 0.10873724\n", " 0.15563014 0.09158531 0.59562889 0.37840598 0.40524658] MSE = 0.0005984741325559963 ll= -9.352927744005878\n", "803200 [1. 0.7847603 0.25244677 0.44618603 0.22572158 0.1087237\n", " 0.15563442 0.0915739 0.5956643 0.37846096 0.40531192] MSE = 0.0006019656173469901 ll= -9.646542309087701\n", "803300 [1. 0.7847871 0.25253984 0.44625249 0.22581798 0.10872012\n", " 0.15562126 0.0915625 0.59569721 0.37847859 0.40534487] MSE = 0.0006015916176486275 ll= -5.205988481527257\n", "803400 [1. 0.78481389 0.25263289 0.44632142 0.22590813 0.1087763\n", " 0.15562803 0.09161086 0.59569277 0.37851239 0.40537906] MSE = 0.0006011248337058548 ll= -5.698141605061114\n", "803500 [1. 0.78484068 0.25271845 0.44639034 0.22599203 0.10882873\n", " 0.15561613 0.09165795 0.5957182 0.37847025 0.4053286 ] MSE = 0.0005965060811538079 ll= -8.245275127896463\n", "803600 [1. 0.78486745 0.25274424 0.44641817 0.22600498 0.10881518\n", " 0.15561419 0.09164655 0.59569011 0.37842813 0.40530056] MSE = 0.0005939987971058855 ll= -6.842290062772754\n", "803700 [1. 0.78485192 0.25271279 0.44638875 0.22597685 0.10880164\n", " 0.15560478 0.09163514 0.59568691 0.37838601 0.40525137] MSE = 0.0005919324461758054 ll= -1.5059712919558215\n", "803800 [1. 0.78476173 0.25268135 0.44633321 0.22594874 0.10878811\n", " 0.15558542 0.09162374 0.59561279 0.37833893 0.40520095] MSE = 0.0005879630729351057 ll= -1.5059712919558215\n", "803900 [1. 0.78472506 0.25264991 0.44628888 0.22592063 0.10877457\n", " 0.15557353 0.09161234 0.59559094 0.3783466 0.40520776] MSE = 0.0005885566926376686 ll= -6.282205663399591\n", "804000 [1. 0.7846573 0.25261848 0.44624083 0.22589252 0.10876104\n", " 0.15556164 0.09160095 0.59553551 0.37832442 0.40518721] MSE = 0.0005867361504951225 ll= -1.5059712919558215\n", "804100 [1. 0.7845597 0.25258706 0.44618532 0.22586443 0.10874751\n", " 0.15554229 0.09158955 0.59546144 0.37827736 0.40513682] MSE = 0.0005827797003836532 ll= -1.5059712919558215\n", "804200 [1. 0.78447581 0.25255565 0.44613481 0.22583634 0.10873399\n", " 0.15552294 0.09157816 0.59538863 0.37823032 0.40508643] MSE = 0.000579042365904118 ll= -5.423223924325896\n", "804300 [1. 0.78446158 0.25252425 0.44611788 0.22580826 0.10872047\n", " 0.15552723 0.09157672 0.59538299 0.37818329 0.40503606] MSE = 0.0005768789113660173 ll= -5.237255824803149\n", "804400 [1. 0.78448837 0.25249534 0.44611463 0.22578018 0.10870695\n", " 0.15554519 0.09159766 0.59541713 0.37818724 0.40505035] MSE = 0.0005789695335409932 ll= -6.38215385642368\n", "804500 [1. 0.78451517 0.25246519 0.4461002 0.22575211 0.10869344\n", " 0.15555569 0.09158876 0.59545127 0.37823222 0.40512059] MSE = 0.000583916165997926 ll= -7.600223339728507\n", "804600 [1. 0.78454195 0.25243381 0.44613549 0.22572405 0.10867993\n", " 0.15554257 0.09157738 0.59546302 0.37830081 0.40519453] MSE = 0.0005893052797072162 ll= -4.371250591392544\n", "804700 [1. 0.78456873 0.25245215 0.44613597 0.2257308 0.10867885\n", " 0.1555568 0.091566 0.59547726 0.37837683 0.40526846] MSE = 0.0005938277892055609 ll= -7.093399809405018\n", "804800 [1. 0.7845955 0.25254505 0.44619734 0.2258121 0.10867777\n", " 0.15556978 0.09156704 0.59551013 0.37836834 0.40526656] MSE = 0.0005918362669604892 ll= -10.068306313976402\n", "804900 [1. 0.78462227 0.25263792 0.44624627 0.2259083 0.10867669\n", " 0.15557778 0.09156312 0.59551938 0.37834866 0.4052162 ] MSE = 0.0005876393740165359 ll= -10.714222132992672\n", "805000 [1. 0.78464902 0.2526612 0.44627034 0.22592247 0.10868679\n", " 0.15556715 0.09155796 0.59554106 0.37832153 0.40521183] MSE = 0.0005867498072266372 ll= -6.34637828044422\n", "805100 [1. 0.78465839 0.25262981 0.44624596 0.22589441 0.10867329\n", " 0.15559752 0.09154658 0.59555776 0.37833416 0.40522609] MSE = 0.0005887415692951643 ll= -1.5059712919558215\n", "805200 [1. 0.78456465 0.25259843 0.44619054 0.22586635 0.10865979\n", " 0.15557819 0.09153521 0.59548379 0.37828717 0.40517575] MSE = 0.0005848274786275873 ll= -1.5059712919558215\n", "805300 [1. 0.78446721 0.25256706 0.44613512 0.2258383 0.1086463\n", " 0.15555887 0.09152385 0.59540984 0.37824019 0.40512543] MSE = 0.0005809193678573852 ll= -1.5059712919558215\n", "805400 [1. 0.78448156 0.25254688 0.44615547 0.22581026 0.10863281\n", " 0.15554576 0.09151248 0.59542531 0.37825531 0.40514963] MSE = 0.0005830744608468833 ll= -4.414830352858335\n", "805500 [1. 0.78450832 0.25251552 0.44614353 0.22578222 0.10861932\n", " 0.15555004 0.09150112 0.59543333 0.37829898 0.4051999 ] MSE = 0.0005870987876065071 ll= -6.457654441636127\n", "805600 [1. 0.78444817 0.25248417 0.44608814 0.22575419 0.10860583\n", " 0.15554066 0.09148976 0.59537927 0.37825202 0.4051496 ] MSE = 0.0005838919271803757 ll= -1.5059712919558215\n", "805700 [1. 0.78443024 0.25245283 0.44606256 0.22572617 0.10859235\n", " 0.15552135 0.0914784 0.59535377 0.37820506 0.4050993 ] MSE = 0.0005814705431712865 ll= -7.52007742238617\n", "805800 [1. 0.78441728 0.2524215 0.44604567 0.22569815 0.10857888\n", " 0.15550825 0.09146705 0.5953469 0.37816309 0.40504903] MSE = 0.00057945618141197 ll= -1.5059712919558215\n", "805900 [1. 0.78440184 0.25239017 0.44602383 0.22567014 0.1085654\n", " 0.1555237 0.0914557 0.59533383 0.37815711 0.40503971] MSE = 0.0005796054868858568 ll= -3.2268418156445455\n", "806000 [1. 0.78442859 0.25241097 0.44602556 0.22569301 0.10858171\n", " 0.1555255 0.09146792 0.59536667 0.37820573 0.4050912 ] MSE = 0.0005825017059733798 ll= -8.613828278210722\n", "806100 [1. 0.78445533 0.25250372 0.44609057 0.22578908 0.10868734\n", " 0.15550993 0.09156452 0.59538089 0.37818238 0.40507196] MSE = 0.000578574459662333 ll= -4.725473604241997\n", "806200 [1. 0.78448207 0.25259645 0.44615929 0.22588513 0.10879792\n", " 0.15552165 0.09167721 0.59541124 0.37825208 0.40514576] MSE = 0.0005802890198377663 ll= -3.5664316594140013\n", "806300 [1. 0.78450881 0.25268916 0.4462069 0.22593773 0.10890846\n", " 0.1555036 0.09178988 0.59542049 0.37828082 0.40517241] MSE = 0.0005798602684239119 ll= -8.553422927966519\n", "806400 [1. 0.78453553 0.25278184 0.44626938 0.22598413 0.10898425\n", " 0.15550043 0.09186655 0.59542726 0.378317 0.40520898] MSE = 0.0005801840049651677 ll= -5.8705806006415795\n", "806500 [1. 0.78456225 0.25285838 0.44632192 0.22606275 0.10897569\n", " 0.15550471 0.09185516 0.59546255 0.37839162 0.4052629 ] MSE = 0.000582614671662218 ll= -4.848926761049084\n", "806600 [1. 0.78458896 0.25282951 0.44633478 0.22603472 0.10896218\n", " 0.15550403 0.09184377 0.59547303 0.37839678 0.4052672 ] MSE = 0.0005840866922279798 ll= -5.8798570945408875\n", "806700 [1. 0.78454624 0.25279817 0.44630548 0.22600669 0.10894867\n", " 0.15548475 0.09183238 0.59542896 0.37834986 0.40521696] MSE = 0.0005810629769081061 ll= -1.5059712919558215\n", "806800 [1. 0.78449114 0.25276683 0.44626503 0.22597868 0.10893517\n", " 0.15547911 0.091821 0.5953787 0.37830296 0.40516673] MSE = 0.0005778698490494042 ll= -6.7928712528463935\n", "806900 [1. 0.78447695 0.2527355 0.44623575 0.22595067 0.10892167\n", " 0.15546728 0.09180962 0.59537556 0.37825607 0.40511651] MSE = 0.000575695032224922 ll= -1.5059712919558215\n", "807000 [1. 0.78437972 0.25270418 0.44618044 0.22592267 0.10890817\n", " 0.15544801 0.09179824 0.59530177 0.3782092 0.4050663 ] MSE = 0.0005718107985257092 ll= -1.5059712919558215\n", "807100 [1. 0.78428377 0.25267286 0.44612515 0.22589467 0.10889467\n", " 0.15542875 0.09178686 0.595228 0.37816233 0.40501611] MSE = 0.000567991934371185 ll= -1.5059712919558215\n", "807200 [1. 0.78424854 0.25264899 0.44609094 0.22586668 0.10888118\n", " 0.15542684 0.09177549 0.59518151 0.3781638 0.40501673] MSE = 0.0005679267664694779 ll= -7.954656783459442\n", "807300 [1. 0.78427527 0.25267096 0.4460939 0.2258387 0.10886769\n", " 0.15543731 0.09176412 0.59516848 0.37821482 0.40508176] MSE = 0.0005715708989571541 ll= -6.071642667629666\n", "807400 [1. 0.78430199 0.25263966 0.44606466 0.22581073 0.10885421\n", " 0.15548371 0.09177258 0.59518147 0.37818655 0.40503159] MSE = 0.000570641361038397 ll= -4.346687752746486\n", "807500 [1. 0.78432871 0.25260837 0.44605895 0.22578276 0.10884072\n", " 0.15547932 0.09176121 0.59519197 0.37815705 0.40498142] MSE = 0.0005695821685801729 ll= -5.6159994498559165\n", "807600 [1. 0.78435542 0.25257709 0.44605944 0.2257548 0.10882724\n", " 0.15548359 0.0917548 0.59523467 0.37820062 0.40503529] MSE = 0.0005740206481352243 ll= -7.6286178163126515\n", "807700 [1. 0.78438212 0.25254581 0.4460946 0.22572684 0.10881377\n", " 0.15551015 0.09174715 0.59527117 0.37824542 0.40509163] MSE = 0.0005784708109511629 ll= -6.983392713299135\n", "807800 [1. 0.78438901 0.25254426 0.44610499 0.22571252 0.1088003\n", " 0.1554909 0.09173579 0.59526928 0.37819859 0.40504148] MSE = 0.0005759592370748501 ll= -7.741592142803136\n", "807900 [1. 0.7844157 0.25263679 0.44611538 0.22579475 0.10878807\n", " 0.15552241 0.09172444 0.59520797 0.37816291 0.40502228] MSE = 0.0005717920578446367 ll= -7.36262346098579\n", "808000 [1. 0.78443372 0.25261171 0.44612081 0.2257668 0.1087746\n", " 0.155544 0.09171308 0.59516772 0.37813219 0.40502785] MSE = 0.0005716641698906194 ll= -5.0617092942978585\n", "808100 [1. 0.7844604 0.25258045 0.44613614 0.22573886 0.10876114\n", " 0.1555297 0.09170173 0.59519307 0.37815099 0.4050396 ] MSE = 0.0005739272473482989 ll= -10.5831564116516\n", "808200 [1. 0.78448707 0.25255661 0.4461428 0.22571093 0.10874768\n", " 0.15551912 0.09169657 0.59520356 0.37819824 0.40507734] MSE = 0.0005775199595325166 ll= -7.2664302918490336\n", "808300 [1. 0.78451373 0.25253279 0.44613833 0.225683 0.10873422\n", " 0.15552091 0.09168523 0.59524004 0.37818609 0.40504083] MSE = 0.0005775491876793961 ll= -6.23201090820317\n", "808400 [1. 0.78448596 0.25250155 0.44612149 0.22565508 0.10872077\n", " 0.15550909 0.09167388 0.59520104 0.3781393 0.40499072] MSE = 0.0005748744311263039 ll= -1.5059712919558215\n", "808500 [1. 0.78443469 0.25247031 0.44606878 0.22562716 0.10870732\n", " 0.1555047 0.09166625 0.59516823 0.37809253 0.40494062] MSE = 0.0005720776733500847 ll= -1.5059712919558215\n", "808600 [1. 0.78437477 0.25243908 0.44601608 0.22559926 0.10869388\n", " 0.15548547 0.09165492 0.59511194 0.37804576 0.40489054] MSE = 0.0005689443783774279 ll= -6.219654318469573\n", "808700 [1. 0.78429755 0.25240787 0.44596216 0.22557136 0.10868044\n", " 0.15546624 0.09164358 0.59504205 0.37799901 0.40484047] MSE = 0.0005655047438935292 ll= -1.5059712919558215\n", "808800 [1. 0.78429084 0.25237665 0.44593669 0.22554346 0.108667\n", " 0.15546556 0.09163225 0.59501917 0.37798071 0.40482626] MSE = 0.0005651895547019769 ll= -5.322227990162894\n", "808900 [1. 0.78431503 0.25234545 0.44597923 0.22551558 0.10865356\n", " 0.15544758 0.09162092 0.59500124 0.37793398 0.40477621] MSE = 0.000563309658924138 ll= -5.956502799689391\n", "809000 [1. 0.7843417 0.25231425 0.44595995 0.2254877 0.10864013\n", " 0.15543701 0.09160959 0.5950204 0.37798492 0.40482754] MSE = 0.000567626773347548 ll= -10.53932501715146\n", "809100 [1. 0.78427194 0.25228307 0.44591965 0.22545983 0.1086267\n", " 0.1554178 0.09159827 0.59497033 0.37794067 0.40478245] MSE = 0.0005647192719631271 ll= -1.5059712919558215\n", "809200 [1. 0.78419108 0.25225188 0.44586825 0.22543196 0.10861327\n", " 0.15539859 0.09158695 0.59490051 0.37789396 0.40473242] MSE = 0.0005613250030094063 ll= -5.883125203228718\n", "809300 [1. 0.78413 0.25222689 0.44583169 0.2254041 0.10859985\n", " 0.15539051 0.09157563 0.59485788 0.37787692 0.40468611] MSE = 0.000559250250457187 ll= -11.805922710312544\n", "809400 [1. 0.78415668 0.25220314 0.44587298 0.22537625 0.10858643\n", " 0.15538243 0.09156431 0.594882 0.37794637 0.40475967] MSE = 0.0005645275527077318 ll= -6.268985450648069\n", "809500 [1. 0.78418335 0.25217198 0.4458809 0.22534841 0.10857302\n", " 0.15538053 0.091553 0.59488016 0.37801705 0.40483321] MSE = 0.0005697798601873565 ll= -10.750373440604438\n", "809600 [1. 0.78415442 0.25214083 0.44586288 0.22532057 0.1085596\n", " 0.15538851 0.09154169 0.59485732 0.37798641 0.40480173] MSE = 0.0005683980035982897 ll= -5.866978167224374\n", "809700 [1. 0.78418108 0.25222332 0.44593132 0.22540637 0.1085462\n", " 0.15537055 0.09153039 0.59487031 0.37804718 0.40487154] MSE = 0.0005701214976739582 ll= -7.120484631480458\n", "809800 [1. 0.78420773 0.2522885 0.44596147 0.22545511 0.10853279\n", " 0.15536866 0.09152402 0.59487217 0.37811412 0.40494504] MSE = 0.0005728882529992479 ll= -6.645830375698911\n", "809900 [1. 0.7841961 0.25225735 0.44593356 0.22542727 0.10851939\n", " 0.15534947 0.09151272 0.59486169 0.37808348 0.40491726] MSE = 0.0005719201692857034 ll= -1.5059712919558215\n", "810000 [1. 0.7841252 0.2522262 0.44588591 0.22539943 0.10850599\n", " 0.15533523 0.09150142 0.59481171 0.37803679 0.40486727] MSE = 0.000568841026590877 ll= -7.185494570352526\n", "810100 [1. 0.78415185 0.25219506 0.44585062 0.2253716 0.10849259\n", " 0.15535062 0.09149012 0.59484938 0.37808395 0.40491975] MSE = 0.0005733491625819229 ll= -6.288120512016673\n", "810200 [1. 0.78415751 0.25216887 0.44580546 0.22534378 0.1084792\n", " 0.15533144 0.09147883 0.59485866 0.37805333 0.404871 ] MSE = 0.0005721359847070487 ll= -5.293093480181667\n", "810300 [1. 0.78418415 0.25214145 0.44579363 0.22531597 0.10846581\n", " 0.1553567 0.09146754 0.59486176 0.37800667 0.40482103] MSE = 0.0005705965045215407 ll= -6.277905040282826\n", "810400 [1. 0.78419474 0.25211033 0.44578181 0.22528816 0.10845243\n", " 0.15537085 0.09145625 0.59488708 0.37796001 0.40477107] MSE = 0.0005691691671022043 ll= -5.614017879486237\n", "810500 [1. 0.78416461 0.25207922 0.44574531 0.22526037 0.10843904\n", " 0.15536402 0.09144497 0.59485933 0.37791338 0.40474334] MSE = 0.0005674684260524337 ll= -1.5059712919558215\n", "810600 [1. 0.78413942 0.25204812 0.44573843 0.22523257 0.10842566\n", " 0.15534485 0.09143368 0.59482912 0.37786675 0.4046934 ] MSE = 0.0005650766887735795 ll= -1.5059712919558215\n", "810700 [1. 0.78404515 0.25201702 0.44568344 0.22520479 0.10841229\n", " 0.15532568 0.0914224 0.59475574 0.37782013 0.40464347] MSE = 0.0005616265193781277 ll= -1.5059712919558215\n", "810800 [1. 0.78404712 0.25198594 0.44565561 0.22517701 0.10839891\n", " 0.15530653 0.09141113 0.59473541 0.37777353 0.40459356] MSE = 0.0005597265341337667 ll= -4.389018391644653\n", "810900 [1. 0.78400345 0.25195486 0.44562778 0.22514924 0.10838555\n", " 0.15528737 0.09139985 0.59471386 0.37772694 0.40454366] MSE = 0.0005573324277150667 ll= -1.5059712919558215\n", "811000 [1. 0.78397336 0.25192379 0.44561228 0.22512147 0.10837218\n", " 0.15530152 0.09139105 0.59467135 0.37768036 0.40449377] MSE = 0.0005548731454765787 ll= -6.393320731730328\n", "811100 [1. 0.784 0.25189273 0.44560173 0.22509371 0.10835882\n", " 0.15532552 0.09137978 0.59471517 0.37772626 0.40454131] MSE = 0.0005591634246461647 ll= -6.0083528884995845\n", "811200 [1. 0.78398964 0.25186167 0.44556282 0.22506596 0.10834546\n", " 0.15533473 0.09136851 0.59468869 0.37771175 0.40452472] MSE = 0.0005589671277466052 ll= -5.923890662148044\n", "811300 [1. 0.78401627 0.25183062 0.44555227 0.22503821 0.1083321\n", " 0.15536243 0.09135725 0.59472017 0.37769601 0.40447485] MSE = 0.0005586723991381007 ll= -5.191794885504531\n", "811400 [1. 0.78403057 0.25179958 0.44553063 0.22501048 0.10831875\n", " 0.155363 0.09134599 0.59474301 0.37771478 0.40449156] MSE = 0.0005610441337391739 ll= -1.5059712919558215\n", "811500 [1. 0.78396229 0.25176855 0.44548928 0.22498275 0.1083054\n", " 0.15534385 0.09133473 0.5946845 0.37766823 0.40444171] MSE = 0.0005581045664931165 ll= -1.5059712919558215\n", "811600 [1. 0.78386568 0.25173752 0.44543438 0.22495502 0.10829205\n", " 0.15532471 0.09132348 0.59461121 0.37762169 0.40439187] MSE = 0.0005547950697947204 ll= -1.5059712919558215\n", "811700 [1. 0.78385781 0.25170651 0.44541153 0.2249273 0.10827871\n", " 0.15534746 0.09131592 0.59462173 0.3776072 0.4043519 ] MSE = 0.0005543064642272307 ll= -4.745276230921041\n", "811800 [1. 0.78388444 0.25167796 0.4454121 0.22489959 0.10826537\n", " 0.15536035 0.09130467 0.59463595 0.37767895 0.40442528] MSE = 0.0005596628426475932 ll= -3.468854078122693\n", "811900 [1. 0.78391106 0.25164696 0.44544346 0.22487189 0.10825203\n", " 0.15534122 0.09129342 0.59465878 0.37774329 0.40449864] MSE = 0.0005648678649001922 ll= -8.116151922034748\n", "812000 [1. 0.78393768 0.25161596 0.44542924 0.22484419 0.1082387\n", " 0.15532208 0.09128218 0.59468777 0.37781131 0.40457199] MSE = 0.0005703947453905689 ll= -8.224772839994516\n", "812100 [1. 0.78396429 0.25158498 0.44546429 0.2248165 0.10822537\n", " 0.155383 0.0912931 0.59471921 0.37787562 0.40464532] MSE = 0.0005757442048290412 ll= -11.525144063897711\n", "812200 [1. 0.78399089 0.251554 0.44544022 0.22478882 0.10821204\n", " 0.15542913 0.09130772 0.59475434 0.37794853 0.40471863] MSE = 0.0005815620431787098 ll= -3.428023225342494\n", "812300 [1. 0.78401748 0.25152672 0.44545432 0.22476114 0.10819872\n", " 0.1554494 0.09129648 0.59477715 0.37802512 0.40479192] MSE = 0.0005872083448368836 ll= -5.658643597774074\n", "812400 [1. 0.78404407 0.25155238 0.44547335 0.22478641 0.10820017\n", " 0.15547335 0.09128647 0.59480118 0.37810169 0.4048652 ] MSE = 0.0005911781589203399 ll= -8.25717280943425\n", "812500 [1. 0.78407065 0.25164451 0.44554161 0.22488183 0.10821024\n", " 0.15550714 0.09129 0.59482398 0.37817085 0.40493845] MSE = 0.0005927131380805042 ll= -8.532364317245317\n", "812600 [1. 0.78409723 0.25173662 0.44560985 0.22497723 0.10821169\n", " 0.155504 0.09127877 0.59485908 0.37821785 0.404992 ] MSE = 0.0005932726074556205 ll= -10.749584678710931\n", "812700 [1. 0.7841238 0.2518287 0.44567684 0.22507261 0.10824022\n", " 0.15549471 0.09126754 0.59488924 0.3781713 0.40494216] MSE = 0.0005879931101513019 ll= -7.598807353588584\n", "812800 [1. 0.78412329 0.25180509 0.44568598 0.22505106 0.1082269\n", " 0.15551003 0.09126615 0.59487634 0.37812477 0.40489233] MSE = 0.0005858196073975581 ll= -1.5059712919558215\n", "812900 [1. 0.78409326 0.25177904 0.4456656 0.22502338 0.10821358\n", " 0.15551058 0.09126353 0.59484375 0.37809547 0.40487205] MSE = 0.0005846740895826223 ll= -10.434948864405003\n", "813000 [1. 0.78406692 0.25175421 0.44564276 0.22499815 0.10820027\n", " 0.15549145 0.09125231 0.5948247 0.37804896 0.40482224] MSE = 0.0005823102072164486 ll= -9.85530759235848\n", "813100 [1. 0.78409348 0.25172325 0.44566544 0.22497048 0.10818696\n", " 0.15551784 0.09124846 0.5948524 0.37806273 0.40482534] MSE = 0.0005842594875573576 ll= -9.750842269617731\n", "813200 [1. 0.78412003 0.25169229 0.44568073 0.22494281 0.10817366\n", " 0.15551962 0.09123724 0.59488255 0.37805928 0.40482474] MSE = 0.0005856728869749493 ll= -5.717698845877226\n", "813300 [1. 0.78413797 0.25166134 0.44568864 0.22491515 0.10816035\n", " 0.15550049 0.09122602 0.59491146 0.37801279 0.40477496] MSE = 0.000584359724522094 ll= -6.177089807536713\n", "813400 [1. 0.78412394 0.25163039 0.44566827 0.2248875 0.10814706\n", " 0.15549121 0.0912148 0.59490594 0.37796631 0.40472519] MSE = 0.0005824288282602259 ll= -9.420617906027402\n", "813500 [1. 0.78415048 0.25170765 0.44573642 0.22496804 0.10817187\n", " 0.15552373 0.09123064 0.59493115 0.3779641 0.40472461] MSE = 0.000580244158512805 ll= -7.836671224190168\n", "813600 [1. 0.78417701 0.25179963 0.44580455 0.22503995 0.10820283\n", " 0.15555624 0.09121942 0.59495759 0.37801598 0.40478304] MSE = 0.0005811973452987352 ll= -7.444823036456332\n", "813700 [1. 0.78420354 0.25189159 0.44587266 0.2251352 0.10822026\n", " 0.15556539 0.09120821 0.59498402 0.37797566 0.40473697] MSE = 0.0005763382811335138 ll= -6.546587329669559\n", "813800 [1. 0.78423006 0.25198353 0.44594076 0.22523043 0.10821679\n", " 0.15555733 0.091197 0.59498341 0.37803859 0.40480152] MSE = 0.0005774302847328553 ll= -11.123977789873022\n", "813900 [1. 0.78425657 0.25207545 0.44600885 0.22532563 0.10832391\n", " 0.1555886 0.09128164 0.59501106 0.37799951 0.40476038] MSE = 0.0005723023498092233 ll= -6.027793603138898\n", "814000 [1. 0.78428308 0.25216734 0.44607691 0.22541713 0.10843347\n", " 0.15557439 0.09139329 0.59503133 0.3780403 0.4048028 ] MSE = 0.0005718213228370853 ll= -1.82029935488206\n", "814100 [1. 0.78430958 0.25225921 0.44614496 0.22551229 0.108543\n", " 0.15555528 0.09150491 0.59506265 0.37810934 0.40487592] MSE = 0.0005731926973739644 ll= -2.5253878395468905\n", "814200 [1. 0.78433608 0.25235106 0.44621054 0.22560496 0.1086525\n", " 0.1555374 0.09161651 0.59504238 0.37811325 0.40488146] MSE = 0.0005703667985409899 ll= -12.871960617290817\n", "814300 [1. 0.78436256 0.25244289 0.44626136 0.22566323 0.10873004\n", " 0.15552813 0.09162491 0.59506387 0.37816875 0.40492754] MSE = 0.0005712820018779696 ll= -3.577479650311936\n", "814400 [1. 0.78438905 0.25249539 0.44627042 0.22568095 0.1087216\n", " 0.15552253 0.09161366 0.59509272 0.37813214 0.40489009] MSE = 0.0005688403754487937 ll= -5.065254606118844\n", "814500 [1. 0.78441184 0.25246439 0.44624877 0.22565324 0.10870825\n", " 0.15550344 0.09160241 0.5951056 0.3781336 0.40489194] MSE = 0.0005702080092951625 ll= -7.306962240707141\n", "814600 [1. 0.78443831 0.25244076 0.44624064 0.22562554 0.1086949\n", " 0.15551504 0.09159116 0.5951418 0.37818539 0.40496501] MSE = 0.00057529071816636 ll= -6.543847866034472\n", "814700 [1. 0.78446477 0.25240977 0.44624601 0.22559784 0.10868156\n", " 0.15552664 0.09157992 0.59516082 0.37824454 0.40503806] MSE = 0.0005804946323545274 ll= -4.815480778769633\n", "814800 [1. 0.78449122 0.25237879 0.44625261 0.22557015 0.10866822\n", " 0.15551 0.09156868 0.59518228 0.37831594 0.40507426] MSE = 0.0005849396756189535 ll= -6.606304432366402\n", "814900 [1. 0.78451767 0.25234782 0.44623098 0.22554246 0.10865488\n", " 0.15550687 0.09155744 0.59520619 0.37838243 0.40514482] MSE = 0.0005903945743367976 ll= -9.768812838996551\n", "815000 [1. 0.78449503 0.25231685 0.44619953 0.22551479 0.10864155\n", " 0.15548779 0.0915462 0.59519082 0.37835808 0.40511965] MSE = 0.0005894210217584594 ll= -5.490400027416818\n", "815100 [1. 0.78452147 0.25229202 0.44619387 0.22548712 0.10862822\n", " 0.15548957 0.0915362 0.59523313 0.37843313 0.40519264] MSE = 0.000595303126022808 ll= -4.060072707427599\n", "815200 [1. 0.78454791 0.2522623 0.44617838 0.22545945 0.10861489\n", " 0.15549994 0.09152497 0.59525948 0.37847994 0.40523494] MSE = 0.0005993980456621668 ll= -11.001680318345041\n", "815300 [1. 0.78455471 0.25223135 0.44614328 0.2254318 0.10860157\n", " 0.15552257 0.09151374 0.59528091 0.37843842 0.40519259] MSE = 0.0005982126567611818 ll= -7.905197009912283\n", "815400 [1. 0.78458114 0.25232062 0.44621121 0.22550104 0.1085907\n", " 0.15551331 0.09150251 0.59532687 0.37849626 0.40521771] MSE = 0.0005991665655135923 ll= -8.881222040011542\n", "815500 [1. 0.78460755 0.25241231 0.44627545 0.22558744 0.10862521\n", " 0.15557518 0.09152563 0.59533235 0.3785222 0.40525141] MSE = 0.0005986537475333499 ll= -7.84477976716993\n", "815600 [1. 0.78463397 0.25250399 0.4463409 0.22562968 0.10873452\n", " 0.15556346 0.0916309 0.59535377 0.37857633 0.40530717] MSE = 0.0006000004795986763 ll= -10.180081003469816\n", "815700 [1. 0.78466037 0.25259564 0.44640755 0.22572462 0.1088438\n", " 0.15555419 0.09174228 0.5953666 0.37863413 0.40538009] MSE = 0.0006013006794389493 ll= -6.893441232506474\n", "815800 [1. 0.78468677 0.25268726 0.44647542 0.22581954 0.10895305\n", " 0.15553512 0.09185362 0.59539046 0.37870295 0.40545299] MSE = 0.0006031393425077235 ll= -7.052853110419619\n", "815900 [1. 0.78471316 0.25277887 0.44654204 0.22591444 0.10906227\n", " 0.15554548 0.09196494 0.59542535 0.37874602 0.40549522] MSE = 0.0006035495674047344 ll= -11.796990639299977\n", "816000 [1. 0.78473955 0.25287045 0.44660988 0.22600931 0.10915553\n", " 0.15560118 0.09203701 0.59544184 0.37879887 0.40552886] MSE = 0.0006039171677103378 ll= -8.661380507347944\n", "816100 [1. 0.78476593 0.2528799 0.44663848 0.22602206 0.10915809\n", " 0.1556152 0.09202574 0.59547426 0.37883333 0.4055576 ] MSE = 0.0006061873060409467 ll= -2.839399040197707\n", "816200 [1. 0.7847923 0.25284892 0.44661439 0.22599436 0.10914471\n", " 0.15560103 0.09201446 0.59548952 0.37890332 0.40563044] MSE = 0.0006117758258858892 ll= -10.345598573664653\n", "816300 [1. 0.78481867 0.25282039 0.4465952 0.22596667 0.10913134\n", " 0.15560524 0.09200319 0.59552193 0.37897084 0.40567753] MSE = 0.000616681191968356 ll= -6.06199381313608\n", "816400 [1. 0.78484503 0.25278942 0.44657969 0.22593899 0.10911797\n", " 0.15558741 0.09199191 0.59555311 0.37903344 0.40575034] MSE = 0.0006222807830408772 ll= -3.9140558190490973\n", "816500 [1. 0.78487139 0.25276213 0.44659358 0.22591132 0.10910461\n", " 0.15565409 0.09198065 0.59557937 0.37906051 0.40578393] MSE = 0.0006255698372039765 ll= -5.278801772956976\n", "816600 [1. 0.78480833 0.25273117 0.44653889 0.22588365 0.10909124\n", " 0.1556436 0.09196938 0.5955199 0.37901408 0.40573423] MSE = 0.0006219990535811636 ll= -5.834384988870084\n", "816700 [1. 0.78483468 0.25270022 0.44653441 0.22585599 0.10907788\n", " 0.15565271 0.09195812 0.59553759 0.37900686 0.40572741] MSE = 0.0006229262146532966 ll= -4.998436300505584\n", "816800 [1. 0.78484021 0.25266928 0.44652382 0.22582833 0.10906453\n", " 0.15563365 0.09194686 0.59553692 0.37904616 0.40577201] MSE = 0.0006263441575963534 ll= -1.5059712919558215\n", "816900 [1. 0.78480779 0.25263834 0.44650098 0.22580069 0.10905118\n", " 0.15564275 0.0919356 0.59550808 0.37899976 0.40572233] MSE = 0.0006235268915969333 ll= -1.5059712919558215\n", "817000 [1. 0.78477292 0.25260742 0.44645856 0.22577304 0.10903783\n", " 0.1556237 0.09192435 0.59549027 0.37899865 0.40571918] MSE = 0.0006235966392701411 ll= -4.122555240429824\n", "817100 [1. 0.78479927 0.2525765 0.4464541 0.22574541 0.10902448\n", " 0.15562301 0.0919131 0.59553244 0.37907466 0.40579192] MSE = 0.0006297482107350085 ll= -8.676881383717642\n", "817200 [1. 0.7848256 0.25254559 0.44641048 0.22571778 0.10901114\n", " 0.15562844 0.09190185 0.59557826 0.37908824 0.40581691] MSE = 0.0006326762041452942 ll= -9.579713451659517\n", "817300 [1. 0.78485193 0.25261136 0.44643049 0.22571708 0.1090908\n", " 0.155651 0.09197748 0.59561552 0.37913975 0.40586882] MSE = 0.0006354398136629513 ll= -8.23799240270156\n", "817400 [1. 0.78487826 0.2527028 0.44649823 0.22581182 0.10912272\n", " 0.15563563 0.09199682 0.59561238 0.37917289 0.40592071] MSE = 0.000635732029015201 ll= -6.4538929069985045\n", "817500 [1. 0.78490458 0.25279423 0.44654759 0.22590653 0.10912405\n", " 0.15562882 0.09198556 0.59563983 0.3792048 0.40596036] MSE = 0.0006361246302997452 ll= -5.1690343980157305\n", "817600 [1. 0.78493089 0.25288563 0.44661529 0.22600122 0.10912538\n", " 0.15561346 0.09197431 0.59566606 0.37923058 0.40599755] MSE = 0.0006362722647298678 ll= -5.024742678543167\n", "817700 [1. 0.78495719 0.25297701 0.44668297 0.22609589 0.10923434\n", " 0.15561277 0.09207803 0.59570205 0.37918787 0.4059479 ] MSE = 0.0006314784987197489 ll= -5.2190520253391695\n", "817800 [1. 0.78498349 0.25306836 0.44675064 0.22616974 0.10934328\n", " 0.15561208 0.0921695 0.59573193 0.37914639 0.40589825] MSE = 0.0006269807284103856 ll= -9.363186172712474\n", "817900 [1. 0.78500978 0.2531597 0.44681829 0.22624725 0.10940205\n", " 0.1556383 0.0922157 0.59572878 0.37910002 0.40584862] MSE = 0.0006221255664642007 ll= -6.703241124426695\n", "818000 [1. 0.78503607 0.25325101 0.44688593 0.22634185 0.10949383\n", " 0.15562049 0.09229368 0.59571464 0.37906223 0.40583445] MSE = 0.0006182798453212746 ll= -5.358072696003239\n", "818100 [1. 0.78506235 0.2533423 0.44695355 0.22642421 0.10954401\n", " 0.15561247 0.09232029 0.59574083 0.37912347 0.40590709] MSE = 0.0006208410150806126 ll= -7.366336074578847\n", "818200 [1. 0.78508862 0.25343357 0.44702115 0.22651876 0.10954773\n", " 0.15563012 0.09231634 0.59574257 0.37919203 0.40597971] MSE = 0.0006233738774101845 ll= -3.303183889076283\n", "818300 [1. 0.78511489 0.25352481 0.44708751 0.2266133 0.10953801\n", " 0.15565143 0.09230506 0.59573821 0.37924468 0.40604131] MSE = 0.0006251116975171298 ll= -4.6784046823033805\n", "818400 [1. 0.78514115 0.25361359 0.44715019 0.22669803 0.10952707\n", " 0.15564096 0.09229378 0.59574973 0.37929977 0.40611389] MSE = 0.0006276354277216748 ll= -6.89847772660043\n", "818500 [1. 0.7851674 0.2535826 0.44714565 0.22667033 0.10951369\n", " 0.15569282 0.0922825 0.59573314 0.3792913 0.40615836] MSE = 0.0006297215285154991 ll= -8.91707877786657\n", "818600 [1. 0.78516432 0.25355162 0.44709102 0.22664264 0.10950031\n", " 0.15567502 0.09227123 0.59573366 0.37929627 0.40615394] MSE = 0.0006303453059093157 ll= -5.120754779916341\n", "818700 [1. 0.78519057 0.25352065 0.44706817 0.22661495 0.10948693\n", " 0.15567799 0.09225996 0.59574395 0.3793721 0.40622648] MSE = 0.0006361187803748106 ll= -3.903700723419956\n", "818800 [1. 0.78521681 0.25359472 0.44712349 0.22667644 0.10949188\n", " 0.15570417 0.09224869 0.59577989 0.37944668 0.40629901] MSE = 0.0006399599720344111 ll= -4.309643979724097\n", "818900 [1. 0.78524304 0.25356375 0.44711163 0.22664875 0.10947851\n", " 0.15569614 0.09223742 0.59580362 0.37952247 0.40637152] MSE = 0.0006459274495232327 ll= -5.041088675069757\n", "819000 [1. 0.78525583 0.25353279 0.44706191 0.22662108 0.10946514\n", " 0.15571132 0.09222616 0.59582733 0.37956405 0.40641226] MSE = 0.0006496774415900364 ll= -1.5059712919558215\n", "819100 [1. 0.7851746 0.25350183 0.44700733 0.22659341 0.10945177\n", " 0.15569231 0.0922149 0.59575702 0.3795177 0.40636264] MSE = 0.0006453902014722066 ll= -1.5059712919558215\n", "819200 [1. 0.78516054 0.25347088 0.44696008 0.22656574 0.10943841\n", " 0.15568795 0.09220364 0.59573801 0.37949579 0.40633378] MSE = 0.0006440660651179926 ll= -9.150275006993791\n", "819300 [1. 0.78518677 0.25343994 0.44694214 0.22653809 0.10942505\n", " 0.15569458 0.09219238 0.5957373 0.37951904 0.40637085] MSE = 0.0006470381150891285 ll= -5.659879373079672\n", "819400 [1. 0.78513243 0.25340901 0.44689125 0.22651044 0.10941169\n", " 0.1556829 0.09218113 0.59569877 0.37950323 0.40635298] MSE = 0.0006455026826633788 ll= -1.5059712919558215\n", "819500 [1. 0.78509397 0.25337808 0.44686966 0.22648279 0.10939834\n", " 0.15569075 0.09216988 0.59566512 0.37945692 0.40630339] MSE = 0.0006423113014689895 ll= -5.938711733307843\n", "819600 [1. 0.7851202 0.25346553 0.44693228 0.22654301 0.109446\n", " 0.15569005 0.09219036 0.59569616 0.37944112 0.40627578] MSE = 0.0006397721884769906 ll= -9.27194156210779\n", "819700 [1. 0.78514641 0.25355661 0.44699976 0.22663738 0.10947535\n", " 0.15567228 0.09220839 0.59573694 0.37947169 0.4063226 ] MSE = 0.0006408412788125046 ll= -11.304622118929087\n", "819800 [1. 0.78517262 0.25364768 0.44706722 0.22673173 0.10958399\n", " 0.15568867 0.09231914 0.59576552 0.37946688 0.40630963] MSE = 0.0006387117182137108 ll= -5.891964616177931\n", "819900 [1. 0.78519883 0.25373872 0.44713467 0.22682606 0.10969261\n", " 0.15567455 0.09242986 0.59579044 0.3794828 0.40633203] MSE = 0.0006383864301771969 ll= -4.14238424308362\n", "820000 [1. 0.78522503 0.25382974 0.44720088 0.2269106 0.10974265\n", " 0.15567264 0.09243078 0.5958129 0.3794853 0.40635199] MSE = 0.0006377050673809881 ll= -11.921067630774612\n", "820100 [1. 0.78525122 0.25392073 0.44726829 0.22695244 0.10981707\n", " 0.15568537 0.09248537 0.59583902 0.37950366 0.40636951] MSE = 0.0006380034501487209 ll= -11.05013847863213\n", "820200 [1. 0.78527741 0.2539922 0.44733569 0.22702231 0.10982197\n", " 0.15569809 0.09247531 0.59587245 0.37949884 0.40633825] MSE = 0.0006361135040731317 ll= -9.545616262922783\n", "820300 [1. 0.78530358 0.25408315 0.4473982 0.22708242 0.10991222\n", " 0.15568032 0.09252621 0.59590222 0.37948671 0.40632407] MSE = 0.0006343103666270674 ll= -5.859200167473386\n", "820400 [1. 0.78532976 0.25417408 0.44746556 0.22717664 0.11001341\n", " 0.15570035 0.09260514 0.59591613 0.37956236 0.40639644] MSE = 0.0006375897606589385 ll= -5.278460283467535\n", "820500 [1. 0.78535592 0.25426499 0.44753291 0.22727084 0.11004266\n", " 0.15573013 0.09260239 0.59592272 0.37963798 0.4064688 ] MSE = 0.0006408604520366193 ll= -3.6819725862507275\n", "820600 [1. 0.78538208 0.25435588 0.44760024 0.22736502 0.11004631\n", " 0.15571725 0.0925911 0.59592444 0.37966971 0.40650335] MSE = 0.0006415462863281725 ll= -4.946826936872721\n", "820700 [1. 0.78540824 0.25444675 0.44766756 0.22745918 0.11011211\n", " 0.15575311 0.09261394 0.59592981 0.37972825 0.40656836] MSE = 0.0006441462004326496 ll= -7.559993447463185\n", "820800 [1. 0.78543439 0.25453759 0.44773486 0.22755331 0.11012794\n", " 0.15574388 0.09261362 0.59593518 0.37970635 0.40655172] MSE = 0.0006416428942163813 ll= -6.126542002630283\n", "820900 [1. 0.78546053 0.25462841 0.44780214 0.22764742 0.11016204\n", " 0.15575292 0.09262183 0.5959771 0.37966131 0.40651316] MSE = 0.000638211074217232 ll= -9.992440342505734\n", "821000 [1. 0.78548666 0.25471921 0.44786941 0.2277415 0.11026313\n", " 0.15578877 0.09271653 0.59600195 0.37967231 0.4065282 ] MSE = 0.0006382080818972471 ll= -5.831131579413844\n", "821100 [1. 0.78551279 0.25480999 0.44793666 0.22783557 0.1103106\n", " 0.15580024 0.09276248 0.59601827 0.37969306 0.40654689] MSE = 0.0006385366464439102 ll= -5.0337520019772475\n", "821200 [1. 0.78553891 0.25486055 0.44797101 0.22788576 0.11030447\n", " 0.15581293 0.09275119 0.59604311 0.37976251 0.40661917] MSE = 0.0006429121356475655 ll= -5.062694660086073\n", "821300 [1. 0.78556503 0.25482952 0.44793595 0.22785801 0.11029104\n", " 0.15580492 0.09273989 0.59604481 0.37982952 0.40669143] MSE = 0.0006482027639590079 ll= -3.7163994588689087\n", "821400 [1. 0.78551565 0.25479849 0.44789237 0.22783027 0.11027761\n", " 0.15578595 0.0927286 0.59600633 0.37979788 0.40666504] MSE = 0.0006455907187003685 ll= -7.7239218569799535\n", "821500 [1. 0.78553202 0.25476869 0.44785366 0.22780253 0.11026418\n", " 0.15578403 0.09271731 0.59598856 0.37977964 0.40665449] MSE = 0.0006451256774801732 ll= -6.481746770975865\n", "821600 [1. 0.78555813 0.25473767 0.44781376 0.2277748 0.11025076\n", " 0.15583201 0.09270603 0.59599757 0.37973341 0.40660499] MSE = 0.0006430539868570586 ll= -5.6423897692485285\n", "821700 [1. 0.78553676 0.25470667 0.44775925 0.22774708 0.11023734\n", " 0.15581305 0.09269474 0.59597249 0.3796872 0.4065555 ] MSE = 0.0006398030644182511 ll= -5.282305208444634\n", "821800 [1. 0.78556286 0.25467567 0.44774979 0.22771936 0.11022393\n", " 0.15584885 0.09268346 0.59599976 0.37971279 0.40658756] MSE = 0.0006429207416396726 ll= -5.236448263689395\n", "821900 [1. 0.78558895 0.25464468 0.44774763 0.22769165 0.11021051\n", " 0.15583597 0.09267218 0.59602701 0.37977002 0.40665977] MSE = 0.0006483055910992078 ll= -5.90652941223696\n", "822000 [1. 0.78561504 0.2546137 0.44775155 0.22766395 0.1101971\n", " 0.15588271 0.09267429 0.59604453 0.37984548 0.40673196] MSE = 0.0006542697000856818 ll= -5.348937842705567\n", "822100 [1. 0.78564112 0.25458273 0.44776034 0.22763625 0.1101837\n", " 0.15586861 0.09266423 0.59606326 0.37991484 0.40680414] MSE = 0.000659984163257972 ll= -7.360941845216928\n", "822200 [1. 0.78566719 0.25455176 0.44775575 0.22760856 0.1101703\n", " 0.15588493 0.09265296 0.5960759 0.37998905 0.40687629] MSE = 0.0006658141630701726 ll= -4.95119035964575\n", "822300 [1. 0.78569326 0.2545208 0.44774994 0.22758088 0.1101569\n", " 0.155883 0.09264169 0.59609949 0.3800523 0.40694843] MSE = 0.000671442589513044 ll= -10.937535913625304\n", "822400 [1. 0.78571932 0.25448985 0.44775265 0.2275532 0.1101435\n", " 0.15587134 0.09263043 0.59612185 0.38012647 0.40702055] MSE = 0.0006774191979923377 ll= -5.944024051536372\n", "822500 [1. 0.78574538 0.2544589 0.44776873 0.22752554 0.11013011\n", " 0.15589129 0.09261916 0.59613448 0.38017996 0.40709266] MSE = 0.0006827190882590945 ll= -8.227096458057652\n", "822600 [1. 0.78577143 0.25442796 0.44775805 0.22749787 0.11011672\n", " 0.1558772 0.0926079 0.59617143 0.38021641 0.40713799] MSE = 0.000686800623291544 ll= -2.9659869719924177\n", "822700 [1. 0.78579747 0.25439703 0.44773766 0.22747022 0.11010333\n", " 0.15591296 0.09259664 0.59619621 0.38029054 0.40721007] MSE = 0.0006929060980351082 ll= -5.6837470717717125\n", "822800 [1. 0.78582351 0.2544512 0.44776589 0.22749727 0.11016896\n", " 0.15592561 0.09266075 0.59620882 0.380282 0.40719096] MSE = 0.0006917953395530421 ll= -7.55956300109739\n", "822900 [1. 0.78584954 0.25454181 0.44783179 0.22759115 0.1102771\n", " 0.15592854 0.09277103 0.59622873 0.38024429 0.40714876] MSE = 0.0006882118018692106 ll= -4.621864285946665\n", "823000 [1. 0.78587556 0.2546324 0.44789889 0.22768502 0.11038522\n", " 0.15591931 0.09287034 0.59627294 0.38026249 0.40712845] MSE = 0.0006875026753719335 ll= -10.297450533227593\n", "823100 [1. 0.78590158 0.25472296 0.44796233 0.22777886 0.1104277\n", " 0.15590279 0.09289186 0.59627096 0.38021993 0.40707898] MSE = 0.000683226604948701 ll= -7.062251109937486\n", "823200 [1. 0.78592759 0.25481351 0.44802819 0.22787268 0.11042036\n", " 0.15589114 0.09288057 0.59631272 0.38021869 0.40706354] MSE = 0.000682035674031667 ll= -4.158278457356298\n", "823300 [1. 0.7859536 0.25481778 0.44808309 0.22786565 0.11040695\n", " 0.15587464 0.09286929 0.59634597 0.38029276 0.40713557] MSE = 0.0006877739993027287 ll= -2.833455714663462\n", "823400 [1. 0.78597959 0.25478683 0.44806025 0.22783797 0.11039354\n", " 0.1558557 0.09285801 0.59635734 0.38036196 0.40720758] MSE = 0.0006934196689190482 ll= -3.6184517300758405\n", "823500 [1. 0.78598373 0.2547571 0.44804226 0.2278103 0.11038013\n", " 0.15585499 0.09284673 0.59636629 0.38040685 0.40725285] MSE = 0.0006970570871026173 ll= -1.5059712919558215\n", "823600 [1. 0.78597693 0.25472617 0.448017 0.22778264 0.11036673\n", " 0.15584578 0.09283546 0.59636673 0.38039101 0.4072034 ] MSE = 0.0006951936493535557 ll= -5.687753292455402\n", "823700 [1. 0.78596649 0.25469524 0.44797232 0.22775498 0.11035333\n", " 0.15584386 0.09282419 0.59636231 0.38034726 0.40715517] MSE = 0.0006923542568709937 ll= -1.5059712919558215\n", "823800 [1. 0.78588442 0.25466432 0.44791793 0.22772733 0.11033993\n", " 0.15582494 0.09281292 0.59629234 0.38030108 0.40710574] MSE = 0.0006874577969558932 ll= -1.5059712919558215\n", "823900 [1. 0.7858218 0.25463341 0.44786841 0.22769968 0.11032654\n", " 0.15580602 0.09280165 0.59623331 0.38025734 0.40705632] MSE = 0.0006831135963114862 ll= -8.223090795638146\n", "824000 [1. 0.7858478 0.2546025 0.44786018 0.22767205 0.11031314\n", " 0.15578711 0.09279039 0.59624954 0.38022454 0.40701906] MSE = 0.0006818902451419689 ll= -9.808254618084003\n", "824100 [1. 0.78587379 0.2545716 0.44782403 0.22764442 0.11029976\n", " 0.15577184 0.09277913 0.59626092 0.38019053 0.40699272] MSE = 0.0006809074090913358 ll= -5.22144048782436\n", "824200 [1. 0.78579299 0.25454071 0.44777818 0.22761679 0.11028637\n", " 0.15575294 0.09276787 0.59619585 0.38014683 0.40695183] MSE = 0.0006765699371326761 ll= -1.5059712919558215\n", "824300 [1. 0.78569765 0.25450983 0.44772385 0.22758918 0.11027299\n", " 0.15573405 0.09275661 0.59612351 0.3801007 0.40690245] MSE = 0.0006715918358461254 ll= -1.5059712919558215\n", "824400 [1. 0.78560233 0.25447895 0.44766954 0.22756157 0.11025961\n", " 0.15571515 0.09274536 0.59605119 0.38005459 0.40685309] MSE = 0.0006666633617334469 ll= -1.5059712919558215\n", "824500 [1. 0.78554343 0.25444808 0.44762251 0.22753396 0.11024624\n", " 0.15569626 0.09273411 0.59600558 0.38000849 0.40680374] MSE = 0.0006626337740453536 ll= -1.5059712919558215\n", "824600 [1. 0.78555731 0.25451546 0.44766525 0.22759005 0.1103299\n", " 0.155698 0.09281383 0.59602062 0.3799624 0.4067544 ] MSE = 0.0006588628251378611 ll= -6.874964068374484\n", "824700 [1. 0.78558331 0.25460587 0.44773102 0.22768373 0.11043779\n", " 0.15570216 0.09292384 0.59604899 0.38 0.40678996] MSE = 0.0006604595123563859 ll= -9.342627639508004\n", "824800 [1. 0.78560931 0.25469625 0.44779799 0.22777737 0.11046684\n", " 0.15571723 0.09294895 0.59607009 0.38004608 0.40683764] MSE = 0.0006626031187842212 ll= -7.126274836432309\n", "824900 [1. 0.78563531 0.25478661 0.44786494 0.227871 0.11045344\n", " 0.15571654 0.09293768 0.59610451 0.38011639 0.40690955] MSE = 0.0006664898990482264 ll= -3.495131601985152\n", "825000 [1. 0.78566129 0.25487695 0.44792581 0.2279646 0.11045096\n", " 0.15578373 0.09292884 0.59612317 0.38017093 0.40696812] MSE = 0.0006693494170594628 ll= -8.460124651112517\n", "825100 [1. 0.78568727 0.25496727 0.44798909 0.22803879 0.11054061\n", " 0.15580606 0.09301818 0.5961297 0.38015152 0.40693091] MSE = 0.0006667966516988033 ll= -8.104960376062092\n", "825200 [1. 0.78571325 0.25505757 0.44805357 0.2281275 0.11064841\n", " 0.15580051 0.09312811 0.59613138 0.38018543 0.40697855] MSE = 0.0006687162620508736 ll= -4.731576186335472\n", "825300 [1. 0.78573921 0.25514784 0.44812046 0.22822104 0.11069074\n", " 0.15580102 0.09317378 0.59614397 0.38019753 0.40700194] MSE = 0.0006691719639384827 ll= -6.360857755050441\n", "825400 [1. 0.78576518 0.2552381 0.44818248 0.2282988 0.1107985\n", " 0.15579062 0.09328365 0.5961614 0.38026536 0.4070435 ] MSE = 0.0006723791382750019 ll= -10.367627845060648\n", "825500 [1. 0.78579113 0.25532833 0.44822753 0.2283196 0.11090623\n", " 0.15578992 0.09339351 0.59620184 0.38030652 0.40708505] MSE = 0.0006755423822954424 ll= -9.31167305608171\n", "825600 [1. 0.78581708 0.25541853 0.44829194 0.2283622 0.11101393\n", " 0.15585948 0.09350333 0.5962229 0.3803513 0.40713992] MSE = 0.000679086152524597 ll= -6.129044068684253\n", "825700 [1. 0.78584302 0.25550872 0.44835877 0.22845567 0.11112161\n", " 0.15588057 0.09361313 0.5962064 0.38042151 0.40720688] MSE = 0.0006830246468763133 ll= -6.509685026153193\n", "825800 [1. 0.78586896 0.25559889 0.44839893 0.22854911 0.11122926\n", " 0.15587986 0.0937229 0.59624924 0.38048202 0.40727383] MSE = 0.0006874234414673167 ll= -13.262714014332033\n", "825900 [1. 0.78589489 0.25568903 0.44845604 0.22858561 0.11133689\n", " 0.15591184 0.09383265 0.59627634 0.3805086 0.40732381] MSE = 0.0006905472259053183 ll= -5.6536830509540446\n", "826000 [1. 0.78592081 0.25577915 0.44851556 0.22867902 0.11144448\n", " 0.15591234 0.09394237 0.59628526 0.3804928 0.40730839] MSE = 0.0006894395031430986 ll= -6.898303173308008\n", "826100 [1. 0.78594673 0.25586925 0.44857385 0.2287724 0.11155206\n", " 0.15589588 0.09405206 0.59630751 0.38051574 0.40734504] MSE = 0.0006916215699294702 ll= -4.2373380691749585\n", "826200 [1. 0.78597264 0.25595933 0.44863697 0.22886575 0.11165961\n", " 0.15590122 0.09415688 0.59634669 0.38057741 0.40740951] MSE = 0.0006963566527657617 ll= -9.199312393691743\n", "826300 [1. 0.78599855 0.25604938 0.44870007 0.22895909 0.11165214\n", " 0.1559344 0.09416243 0.59636771 0.38053498 0.40737836] MSE = 0.0006936444329889231 ll= -5.474853595413494\n", "826400 [1. 0.78602445 0.25611763 0.44874622 0.22901004 0.11164952\n", " 0.15596999 0.09415103 0.59638146 0.38056275 0.40741256] MSE = 0.0006956812435930269 ll= -5.468448209517531\n", "826500 [1. 0.78593175 0.25608664 0.44869192 0.22898233 0.11163601\n", " 0.15595111 0.09413964 0.59630929 0.3805167 0.40736326] MSE = 0.0006902397319040848 ll= -1.5059712919558215\n", "826600 [1. 0.78590442 0.25605566 0.44864368 0.22895463 0.1116225\n", " 0.15593829 0.09412825 0.59628675 0.38047066 0.40731397] MSE = 0.0006864770258329902 ll= -1.5059712919558215\n", "826700 [1. 0.78581176 0.25602468 0.4485894 0.22892693 0.111609\n", " 0.15591943 0.09411686 0.59621461 0.38042463 0.4072647 ] MSE = 0.0006811125224581295 ll= -1.5059712919558215\n", "826800 [1. 0.78583162 0.25599371 0.44856901 0.22889924 0.1115955\n", " 0.15590541 0.09410548 0.59623443 0.38045603 0.40726987] MSE = 0.0006830637639879333 ll= -5.1678150474855595\n", "826900 [1. 0.78583696 0.25597968 0.44853411 0.22887155 0.111582\n", " 0.15588655 0.0940941 0.59622762 0.38046202 0.40729802] MSE = 0.0006842936490521792 ll= -1.5059712919558215\n", "827000 [1. 0.78578788 0.25594872 0.44849438 0.22884387 0.11156851\n", " 0.1558677 0.09408272 0.59618938 0.38041601 0.40724876] MSE = 0.0006800860800057729 ll= -8.757099418889466\n", "827100 [1. 0.78578356 0.25591778 0.44849093 0.2288162 0.11155502\n", " 0.15585248 0.09407134 0.59618501 0.38041959 0.40724063] MSE = 0.0006800949171380368 ll= -3.992376939602926\n", "827200 [1. 0.78580945 0.25588683 0.4484754 0.22878854 0.11154153\n", " 0.15584573 0.09405997 0.5962169 0.38048845 0.40730867] MSE = 0.0006857157180931476 ll= -9.011682655014996\n", "827300 [1. 0.78583535 0.2558559 0.4484647 0.22876088 0.11152805\n", " 0.15587162 0.0940486 0.59625 0.38048719 0.40731383] MSE = 0.0006869999870773748 ll= -8.335190043018526\n", "827400 [1. 0.78583585 0.25582497 0.44844796 0.22873323 0.11151457\n", " 0.15587332 0.09403723 0.59625771 0.38044482 0.40726822] MSE = 0.0006844623308995952 ll= -1.5059712919558215\n", "827500 [1. 0.78579043 0.25579405 0.44842519 0.22870558 0.11150109\n", " 0.1558569 0.09402586 0.59620498 0.38039884 0.40722988] MSE = 0.0006805838461536526 ll= -5.942038612503089\n", "827600 [1. 0.78581631 0.25576314 0.44839275 0.22867795 0.11148761\n", " 0.15587674 0.0940145 0.59618852 0.38040242 0.40724713] MSE = 0.0006817422270853679 ll= -6.73504977166832\n", "827700 [1. 0.78584219 0.25574311 0.44840019 0.22865756 0.11147414\n", " 0.15595457 0.09403818 0.5962059 0.38042774 0.40728975] MSE = 0.0006851685541612106 ll= -10.21681424048798\n", "827800 [1. 0.78586807 0.25571221 0.44839918 0.22862994 0.11146067\n", " 0.1559913 0.09403407 0.59620273 0.38043132 0.40732391] MSE = 0.0006872598220198081 ll= -5.612513288546167\n", "827900 [1. 0.78589394 0.25568132 0.44840662 0.22860232 0.11144721\n", " 0.15599058 0.09402271 0.59622252 0.38041556 0.40731215] MSE = 0.0006873629400290669 ll= -6.348651568871677\n", "828000 [1. 0.78579901 0.25565044 0.44835246 0.22857471 0.11143375\n", " 0.15597174 0.09401135 0.5961505 0.38036961 0.40726295] MSE = 0.0006820616055461017 ll= -1.5059712919558215\n", "828100 [1. 0.78571256 0.25561957 0.44830435 0.2285471 0.11142029\n", " 0.1559529 0.094 0.5960785 0.38032367 0.40721377] MSE = 0.0006769468082055573 ll= -1.5059712919558215\n", "828200 [1. 0.78561768 0.2555887 0.44825021 0.2285195 0.11140683\n", " 0.15593407 0.09398865 0.59600652 0.38027774 0.40716459] MSE = 0.0006717418664746994 ll= -1.5059712919558215\n", "828300 [1. 0.78553127 0.25555784 0.44819609 0.22849191 0.11139338\n", " 0.15591524 0.0939773 0.59593576 0.38023183 0.40711543] MSE = 0.0006667188905937515 ll= -1.5059712919558215\n", "828400 [1. 0.7854642 0.25552698 0.44814198 0.22846432 0.11137993\n", " 0.15589641 0.09396595 0.59587227 0.38018592 0.40706628] MSE = 0.0006620965800405151 ll= -1.5059712919558215\n", "828500 [1. 0.78545268 0.25549614 0.44809633 0.22843675 0.11136649\n", " 0.15588484 0.09395461 0.59586915 0.38019194 0.40707146] MSE = 0.0006625249977059431 ll= -1.5059712919558215\n", "828600 [1. 0.78535788 0.2554653 0.44804225 0.22840917 0.11135305\n", " 0.15586602 0.09394327 0.59579722 0.38014605 0.40702233] MSE = 0.0006574710089116613 ll= -1.5059712919558215\n", "828700 [1. 0.7853343 0.25543688 0.44800869 0.22838161 0.11133961\n", " 0.15584721 0.09393193 0.5957929 0.38010017 0.40697321] MSE = 0.0006542606509237377 ll= -6.4289433190287415\n", "828800 [1. 0.78524195 0.25540606 0.44795583 0.22835405 0.11132617\n", " 0.15582841 0.0939206 0.59572342 0.3800543 0.4069241 ] MSE = 0.0006493426115028614 ll= -1.5059712919558215\n", "828900 [1. 0.78518943 0.25537524 0.44791747 0.2283265 0.11131274\n", " 0.1558096 0.09390927 0.59566844 0.38001327 0.40689069] MSE = 0.0006458806551726626 ll= -6.030316539203229\n", "829000 [1. 0.78514899 0.25534443 0.4478767 0.22829895 0.11129931\n", " 0.15579925 0.09389794 0.5956388 0.37998914 0.40687538] MSE = 0.0006440428347674147 ll= -1.5059712919558215\n", "829100 [1. 0.78507479 0.25531363 0.44782268 0.22827141 0.11128589\n", " 0.15578046 0.09388661 0.59556695 0.37994331 0.4068263 ] MSE = 0.0006394363353549906 ll= -1.5059712919558215\n", "829200 [1. 0.78498251 0.25528284 0.44776866 0.22824388 0.11127246\n", " 0.15576167 0.09387529 0.59549512 0.37989748 0.40677723] MSE = 0.0006346391466039387 ll= -1.5059712919558215\n", "829300 [1. 0.78490352 0.25525205 0.4477219 0.22821635 0.11125904\n", " 0.15574288 0.09386397 0.59542571 0.37985166 0.40672817] MSE = 0.0006300966053595838 ll= -8.447130356190716\n", "829400 [1. 0.78492946 0.25522127 0.44772338 0.22818883 0.11124563\n", " 0.15573255 0.09385265 0.59546123 0.37990836 0.40679248] MSE = 0.0006351496539995477 ll= -8.37750676430212\n", "829500 [1. 0.78495539 0.25519653 0.44768748 0.22816132 0.11123222\n", " 0.1557415 0.09384133 0.59550518 0.3799795 0.406864 ] MSE = 0.0006409268718470852 ll= -6.222260607466339\n", "829600 [1. 0.78498131 0.25517179 0.44766727 0.22813382 0.11122001\n", " 0.15581314 0.09388306 0.59553345 0.37998192 0.40686197] MSE = 0.0006422745835522228 ll= -7.588655332667568\n", "829700 [1. 0.78499036 0.25514103 0.44764706 0.22810632 0.11120661\n", " 0.15582932 0.09387175 0.59552797 0.37993611 0.40681413] MSE = 0.0006397120055848723 ll= -1.5059712919558215\n", "829800 [1. 0.78492226 0.25511028 0.44759311 0.22807882 0.1111932\n", " 0.15581174 0.09386043 0.59547547 0.37989032 0.4067651 ] MSE = 0.0006355082577151862 ll= -1.5059712919558215\n", "829900 [1. 0.78487949 0.25507954 0.44753917 0.22805134 0.1111798\n", " 0.15579296 0.09384912 0.5954483 0.37984454 0.40671608] MSE = 0.0006319447652852234 ll= -4.969657293702924\n", "830000 [1. 0.7848536 0.2550488 0.44749729 0.22802386 0.11116641\n", " 0.15577419 0.09383781 0.59543077 0.3798048 0.40667068] MSE = 0.0006290461700324296 ll= -3.3458494247217176\n", "830100 [1. 0.78487952 0.25501807 0.44747349 0.22799639 0.11115301\n", " 0.15578072 0.09382651 0.59546024 0.3798747 0.40674217] MSE = 0.0006346785393090428 ll= -2.334584159508079\n", "830200 [1. 0.78490543 0.25498735 0.44746055 0.22796892 0.11113962\n", " 0.15576678 0.0938152 0.59547524 0.3799494 0.40681364] MSE = 0.000640306897448007 ll= -4.599206389330197\n", "830300 [1. 0.78493134 0.25495905 0.44745242 0.22794146 0.11112623\n", " 0.15574801 0.0938039 0.59549145 0.38002409 0.40688509] MSE = 0.0006459535676511909 ll= -2.696978131461107\n", "830400 [1. 0.78495724 0.25492834 0.44743587 0.22791401 0.11111285\n", " 0.15575936 0.09379261 0.59551608 0.38008912 0.40695652] MSE = 0.0006514720907633954 ll= -3.6597047326782293\n", "830500 [1. 0.78498194 0.25489764 0.4474145 0.22788656 0.11109947\n", " 0.15575145 0.09378131 0.59553589 0.38010718 0.40697736] MSE = 0.0006537204191459609 ll= -1.5059712919558215\n", "830600 [1. 0.78488742 0.25486695 0.44736063 0.22785912 0.11108609\n", " 0.15573269 0.09377002 0.59546418 0.38006141 0.40692836] MSE = 0.0006489899808300768 ll= -1.5059712919558215\n", "830700 [1. 0.78482182 0.25483626 0.44730677 0.22783169 0.11107272\n", " 0.15571394 0.09375873 0.59541295 0.38001565 0.40687936] MSE = 0.000644900332518309 ll= -1.5059712919558215\n", "830800 [1. 0.78472854 0.25480559 0.44725292 0.22780426 0.11105935\n", " 0.1556952 0.09374744 0.59534128 0.3799699 0.40683038] MSE = 0.0006402737990243041 ll= -1.5059712919558215\n", "830900 [1. 0.78463529 0.25477492 0.44719909 0.22777684 0.11104598\n", " 0.15567646 0.09373616 0.59526962 0.37992417 0.40678142] MSE = 0.0006356955213178745 ll= -1.5059712919558215\n", "831000 [1. 0.78454086 0.25474425 0.44714526 0.22774943 0.11103262\n", " 0.15565772 0.09372488 0.59519798 0.37987845 0.40673246] MSE = 0.0006311510674098738 ll= -1.5059712919558215\n", "831100 [1. 0.78448014 0.2547136 0.44709507 0.22772202 0.11101925\n", " 0.15563899 0.0937136 0.59515162 0.37983273 0.40668351] MSE = 0.0006273259675390011 ll= -6.49051295804418\n", "831200 [1. 0.78447961 0.25468295 0.44707135 0.22769462 0.1110059\n", " 0.15562989 0.09370232 0.59515582 0.37978703 0.40663458] MSE = 0.0006247978928717982 ll= -5.41665421820924\n", "831300 [1. 0.78445982 0.25465231 0.44705847 0.22766723 0.11099254\n", " 0.15562921 0.09369105 0.59514437 0.37978585 0.40661935] MSE = 0.0006243791373967697 ll= -10.063604031976181\n", "831400 [1. 0.78448575 0.25462408 0.44707326 0.22763984 0.11097919\n", " 0.15565981 0.09367978 0.59516661 0.37981715 0.40665704] MSE = 0.0006276477641850486 ll= -9.437461137886782\n", "831500 [1. 0.78451167 0.25459346 0.44706519 0.22761246 0.11096584\n", " 0.15567477 0.09366851 0.59519004 0.37981597 0.40666827] MSE = 0.0006290615570646262 ll= -6.978502292080619\n", "831600 [1. 0.78453758 0.25456284 0.44707035 0.22758509 0.1109525\n", " 0.15569333 0.09365725 0.5952255 0.37978593 0.40664823] MSE = 0.0006286894869197974 ll= -7.136180106985588\n", "831700 [1. 0.78446849 0.25453223 0.4470202 0.22755772 0.11093915\n", " 0.1556746 0.09364598 0.59515392 0.37974026 0.40659933] MSE = 0.0006245393194932206 ll= -6.230085233719823\n", "831800 [1. 0.78445593 0.25450162 0.44698208 0.22753036 0.11092581\n", " 0.1556643 0.09363472 0.5951533 0.37969941 0.40655044] MSE = 0.0006220059489936143 ll= -1.5059712919558215\n", "831900 [1. 0.78446622 0.25447103 0.44696682 0.22750301 0.11091248\n", " 0.15569127 0.09364631 0.59517793 0.37970906 0.40656167] MSE = 0.0006236994155863979 ll= -6.681464410584658\n", "832000 [1. 0.78449213 0.25446809 0.44698401 0.22749249 0.11092439\n", " 0.15570621 0.09363866 0.59520856 0.37978243 0.40663301] MSE = 0.0006290574909064235 ll= -16.07766907019591\n", "832100 [1. 0.78451803 0.25455769 0.44704808 0.22758534 0.1109387\n", " 0.15573798 0.09365264 0.59524279 0.37984135 0.40670433] MSE = 0.0006323006747596124 ll= -11.009721423601725\n", "832200 [1. 0.78454393 0.25464728 0.44711453 0.22767816 0.11093619\n", " 0.15573609 0.09364139 0.59525778 0.37981853 0.40667828] MSE = 0.0006294718459688897 ll= -7.078181459342821\n", "832300 [1. 0.78452295 0.25468397 0.4471305 0.22771689 0.11092766\n", " 0.15571738 0.09363014 0.59524874 0.37977289 0.40662942] MSE = 0.0006253390411889775 ll= -1.5059712919558215\n", "832400 [1. 0.78452361 0.25465938 0.44711162 0.22768954 0.11091433\n", " 0.15571789 0.09361889 0.59522768 0.37972966 0.40659498] MSE = 0.000623078324028389 ll= -10.818675513340047\n", "832500 [1. 0.7845495 0.25463479 0.44709395 0.22766218 0.11090101\n", " 0.15573402 0.09360764 0.5952667 0.37971288 0.40660259] MSE = 0.0006240134802949775 ll= -6.173219563462047\n", "832600 [1. 0.78446607 0.2546042 0.44704024 0.22763483 0.11088769\n", " 0.15571532 0.0935964 0.5952024 0.37966727 0.40655375] MSE = 0.0006197691728422111 ll= -1.5059712919558215\n", "832700 [1. 0.78437425 0.25457362 0.44698655 0.22760749 0.11087437\n", " 0.15569661 0.09358515 0.59513092 0.37962167 0.40650492] MSE = 0.0006153921361445946 ll= -1.5059712919558215\n", "832800 [1. 0.78436171 0.25454305 0.44695208 0.22758016 0.11086105\n", " 0.15567792 0.09357392 0.5951267 0.37957608 0.40645611] MSE = 0.0006126930098975601 ll= -7.155596213517462\n", "832900 [1. 0.78438761 0.25451249 0.44696326 0.22755283 0.11084774\n", " 0.15569885 0.09358189 0.5951633 0.37956772 0.4064097 ] MSE = 0.0006122098789345754 ll= -6.167329178656242\n", "833000 [1. 0.7844135 0.25448193 0.44693721 0.22752551 0.11083443\n", " 0.15573778 0.09358747 0.5951963 0.37959779 0.40645095] MSE = 0.0006157677783773143 ll= -6.57732879338767\n", "833100 [1. 0.78443938 0.25445138 0.44693998 0.2274982 0.11082113\n", " 0.1557395 0.09357623 0.59521609 0.37964346 0.4064922 ] MSE = 0.0006195512004301825 ll= -10.555517978202927\n", "833200 [1. 0.78446525 0.25442084 0.44693194 0.22747089 0.11080783\n", " 0.15575921 0.093565 0.59525987 0.37966511 0.40650582] MSE = 0.000621985779770437 ll= -3.9930812853399478\n", "833300 [1. 0.78449112 0.25440831 0.44690951 0.22744359 0.11079693\n", " 0.15579453 0.09355377 0.59528325 0.37963754 0.40648104] MSE = 0.0006212796673354153 ll= -4.607363505789623\n", "833400 [1. 0.78451698 0.25438978 0.44694948 0.2274175 0.11078363\n", " 0.15580223 0.09354254 0.59530901 0.37968079 0.40652946] MSE = 0.0006251944221195001 ll= -9.954141864215092\n", "833500 [1. 0.78453684 0.25436045 0.44696664 0.22739021 0.11077034\n", " 0.15583873 0.09355412 0.59529878 0.37969162 0.40653708] MSE = 0.0006265598084665985 ll= -1.5059712919558215\n", "833600 [1. 0.78454469 0.25432993 0.44695141 0.22736293 0.11075705\n", " 0.15583923 0.09354289 0.59531014 0.37965927 0.4064967 ] MSE = 0.0006249899934021465 ll= -8.341760826834841\n", "833700 [1. 0.78457054 0.25429942 0.44692298 0.22733565 0.11074376\n", " 0.15582893 0.09353167 0.5953239 0.37971569 0.40650912] MSE = 0.0006280953449486241 ll= -5.400378250332153\n", "833800 [1. 0.78459638 0.25426892 0.44687897 0.22730838 0.11073048\n", " 0.15581864 0.09352045 0.59535924 0.3797721 0.40656831] MSE = 0.0006330212340713481 ll= -5.309728953525009\n", "833900 [1. 0.78462221 0.25423843 0.44688295 0.22728112 0.1107172\n", " 0.15580835 0.09350923 0.59536819 0.37972775 0.40653394] MSE = 0.0006314716076995262 ll= -6.5213725470045\n", "834000 [1. 0.7845569 0.25420794 0.44684375 0.22725387 0.11070392\n", " 0.15580285 0.09349802 0.59531119 0.37968222 0.40648519] MSE = 0.0006275938410384857 ll= -1.5059712919558215\n", "834100 [1. 0.78449161 0.25417746 0.44680456 0.22722662 0.11069065\n", " 0.15579616 0.09348681 0.59526499 0.37963669 0.40643645] MSE = 0.0006238652231325726 ll= -7.179780182556926\n", "834200 [1. 0.78451744 0.25414698 0.44677617 0.22719938 0.11067738\n", " 0.15580746 0.0934756 0.59528953 0.37963314 0.40644887] MSE = 0.0006253285034701339 ll= -8.202293717647281\n", "834300 [1. 0.78454327 0.25411652 0.44679813 0.22717214 0.11066411\n", " 0.15582954 0.0934644 0.5952889 0.37958763 0.40640014] MSE = 0.0006232271179680538 ll= -5.65706777123984\n", "834400 [1. 0.78448879 0.25408606 0.44677934 0.22714491 0.11065085\n", " 0.15581086 0.09345319 0.59523553 0.37954213 0.40635143] MSE = 0.0006195624871054256 ll= -1.5059712919558215\n", "834500 [1. 0.78442114 0.25405561 0.44673058 0.22711769 0.11063758\n", " 0.15579219 0.09344199 0.59518936 0.37949664 0.40630273] MSE = 0.0006158601616284066 ll= -4.406375969771881\n", "834600 [1. 0.78444697 0.25402516 0.44672379 0.22709047 0.11062433\n", " 0.1557843 0.0934308 0.59522708 0.37947633 0.40625404] MSE = 0.0006149330871410449 ll= -9.35998375913415\n", "834700 [1. 0.7844728 0.25399473 0.44671819 0.22706326 0.11061107\n", " 0.15582315 0.0934196 0.59520249 0.37945004 0.40626767] MSE = 0.0006152617643716861 ll= -3.9083715116643147\n", "834800 [1. 0.78448185 0.2539643 0.44671259 0.22703606 0.11059782\n", " 0.15580448 0.09340841 0.59516473 0.37940937 0.40627411] MSE = 0.0006145222243812355 ll= -5.38729795645704\n", "834900 [1. 0.78450767 0.25393388 0.44669382 0.22700886 0.11058457\n", " 0.1558505 0.09339722 0.59513656 0.37940105 0.40631289] MSE = 0.0006162074536900451 ll= -4.376143888495199\n", "835000 [1. 0.78453348 0.25390346 0.4467026 0.22698167 0.11057133\n", " 0.15586537 0.09338603 0.59515391 0.37939514 0.4063277 ] MSE = 0.0006176180439019365 ll= -10.34477331802302\n", "835100 [1. 0.78454611 0.25387665 0.44666228 0.22695449 0.11055808\n", " 0.15588862 0.09337485 0.59515808 0.37937365 0.40630898] MSE = 0.0006171661258309713 ll= -5.461423930068011\n", "835200 [1. 0.78449766 0.25384625 0.44663154 0.22692731 0.11054484\n", " 0.15588313 0.09336367 0.59513112 0.37932822 0.40626033] MSE = 0.0006139610017473194 ll= -1.5059712919558215\n", "835300 [1. 0.78450192 0.25381585 0.44661039 0.22690014 0.11053161\n", " 0.15586446 0.09335249 0.5951329 0.37930196 0.40622126] MSE = 0.0006125611992719749 ll= -9.236840138563696\n", "835400 [1. 0.78452771 0.25378547 0.44657129 0.22687298 0.11051838\n", " 0.15587454 0.09334131 0.59516222 0.3792817 0.40617622] MSE = 0.0006117576787621529 ll= -6.13037775170813\n", "835500 [1. 0.7845164 0.25375509 0.44656093 0.22684582 0.11050515\n", " 0.15585947 0.09333014 0.5951616 0.37928418 0.40618626] MSE = 0.0006126099689679299 ll= -1.5059712919558215\n", "835600 [1. 0.7844237 0.25372472 0.44650748 0.22681867 0.11049192\n", " 0.15584081 0.09331897 0.59509037 0.37923878 0.40613764] MSE = 0.0006084585527344157 ll= -1.5059712919558215\n", "835700 [1. 0.7843394 0.25369435 0.44645404 0.22679153 0.1104787\n", " 0.15582216 0.0933078 0.59501915 0.37919339 0.40608904] MSE = 0.0006044513860153982 ll= -5.399813419422901\n", "835800 [1. 0.78435683 0.25366399 0.44643532 0.22676439 0.11046548\n", " 0.15582147 0.09329664 0.59498983 0.37914802 0.40608592] MSE = 0.0006035559079924473 ll= -5.01527540984011\n", "835900 [1. 0.78433597 0.25363364 0.44639866 0.22673726 0.11045226\n", " 0.15580282 0.09328547 0.59497487 0.37911342 0.40604092] MSE = 0.0006013275113981736 ll= -1.5059712919558215\n", "836000 [1. 0.7843175 0.2536033 0.44637516 0.22671013 0.11043905\n", " 0.15578418 0.09327432 0.59493002 0.37914105 0.40606532] MSE = 0.0006028715274922424 ll= -5.537457518241599\n", "836100 [1. 0.7843433 0.25357297 0.44638397 0.22668301 0.11042584\n", " 0.15578589 0.09326316 0.5949378 0.37911603 0.40604426] MSE = 0.0006024592318445081 ll= -5.539041260313263\n", "836200 [1. 0.78436909 0.25354264 0.44637723 0.2266559 0.11041263\n", " 0.15579117 0.093252 0.59494917 0.37907069 0.40601244] MSE = 0.0006011760912613558 ll= -5.725823644441563\n", "836300 [1. 0.78439488 0.25351232 0.44637407 0.2266288 0.11039943\n", " 0.15579885 0.09324085 0.59495456 0.37905645 0.40600694] MSE = 0.0006015908529514062 ll= -6.862336248423567\n", "836400 [1. 0.78434892 0.253482 0.44634461 0.2266017 0.11038623\n", " 0.15578022 0.0932297 0.59492885 0.37901112 0.40595839] MSE = 0.000598564090472637 ll= -5.562323546218105\n", "836500 [1. 0.78436275 0.25345289 0.44633309 0.22657461 0.11037303\n", " 0.15577116 0.09321856 0.59491989 0.37896581 0.40591703] MSE = 0.0005966267289279209 ll= -1.5059712919558215\n", "836600 [1. 0.78431919 0.25342259 0.44627974 0.22654752 0.11035983\n", " 0.15575971 0.09320741 0.59489062 0.3789205 0.4058685 ] MSE = 0.000593664592879383 ll= -5.557164984298365\n", "836700 [1. 0.78425412 0.2533935 0.44622639 0.22652044 0.11034664\n", " 0.15574229 0.09319627 0.5948482 0.37887521 0.40581999] MSE = 0.0005903267768818301 ll= -1.5059712919558215\n", "836800 [1. 0.78416756 0.25336321 0.44617306 0.22649337 0.11033345\n", " 0.15572368 0.09318513 0.5947771 0.37882993 0.40577148] MSE = 0.000586503401622597 ll= -1.5059712919558215\n", "836900 [1. 0.7841348 0.25333293 0.44614125 0.2264663 0.11032027\n", " 0.15571463 0.093174 0.59476697 0.37883126 0.40576004] MSE = 0.0005864074695125553 ll= -5.0319101528119585\n", "837000 [1. 0.78416059 0.25330266 0.44613096 0.22643924 0.11030709\n", " 0.15570319 0.09316286 0.59479269 0.37889712 0.40583104] MSE = 0.0005917677948143157 ll= -12.076143908714844\n", "837100 [1. 0.78416965 0.2532724 0.44611947 0.22641219 0.11029391\n", " 0.1557049 0.09315173 0.59478614 0.37889964 0.4058399 ] MSE = 0.0005928456031187489 ll= -1.5059712919558215\n", "837200 [1. 0.78411062 0.25324334 0.44607574 0.22638514 0.11028073\n", " 0.1556863 0.0931406 0.59473301 0.37885438 0.40579501] MSE = 0.0005896364775537445 ll= -4.561684337951971\n", "837300 [1. 0.78405996 0.25321309 0.44602365 0.2263581 0.11026756\n", " 0.1556677 0.09312948 0.5946978 0.37882824 0.40574773] MSE = 0.0005872236156965094 ll= -1.5059712919558215\n", "837400 [1. 0.78404037 0.25318285 0.4460086 0.22633106 0.11025439\n", " 0.15566464 0.09311836 0.59468172 0.3788021 0.40573032] MSE = 0.0005862542356544539 ll= -5.693318778504334\n", "837500 [1. 0.78400406 0.25315262 0.4459828 0.22630404 0.11024122\n", " 0.15565082 0.09310724 0.59464414 0.37877358 0.40570695] MSE = 0.0005846530036469339 ll= -1.5059712919558215\n", "837600 [1. 0.78391761 0.25312239 0.44592955 0.22627701 0.11022806\n", " 0.15563224 0.09309612 0.59457313 0.37872836 0.40565851] MSE = 0.0005809866680552454 ll= -1.5059712919558215\n", "837700 [1. 0.78382402 0.25309217 0.44587631 0.22625 0.1102149\n", " 0.15561366 0.093085 0.59450215 0.37868314 0.40561008] MSE = 0.0005772897822648768 ll= -1.5059712919558215\n", "837800 [1. 0.78377104 0.25306196 0.44583622 0.22622299 0.11020174\n", " 0.15560463 0.09307389 0.59445267 0.37863794 0.40556166] MSE = 0.0005742415356850845 ll= -1.5059712919558215\n", "837900 [1. 0.78379327 0.25309143 0.44588207 0.22625448 0.1102423\n", " 0.15562545 0.09308546 0.59446646 0.37866675 0.40560277] MSE = 0.0005758389928995165 ll= -3.305789392882552\n", "838000 [1. 0.78381907 0.25318057 0.4459482 0.22634682 0.11027211\n", " 0.15564148 0.09311374 0.59449934 0.37873732 0.40567013] MSE = 0.0005782593311404048 ll= -5.4338843625092075\n", "838100 [1. 0.78384487 0.25326969 0.44601432 0.22643914 0.11036874\n", " 0.155642 0.0931969 0.59452625 0.37870048 0.40562172] MSE = 0.000574033465403478 ll= -12.846192308214407\n", "838200 [1. 0.78387066 0.25328242 0.44602911 0.22643002 0.11038659\n", " 0.15566042 0.09322992 0.59455793 0.37877342 0.40568309] MSE = 0.000578639758692337 ll= -4.5382441416721075\n", "838300 [1. 0.7838177 0.25325221 0.44598783 0.22640301 0.11037342\n", " 0.15566333 0.09322715 0.59451205 0.37874493 0.40565378] MSE = 0.0005766788797217356 ll= -1.5059712919558215\n", "838400 [1. 0.78380413 0.253222 0.44596087 0.226376 0.11036025\n", " 0.15567697 0.0932208 0.59449362 0.37872957 0.40564356] MSE = 0.0005763526103606843 ll= -5.777327580565078\n", "838500 [1. 0.78382991 0.25319179 0.44594585 0.226349 0.11034709\n", " 0.15567867 0.09321326 0.59446803 0.37872376 0.40564289] MSE = 0.0005769105509456384 ll= -6.226092014424785\n", "838600 [1. 0.78381634 0.2531616 0.44591175 0.226322 0.11033393\n", " 0.15566726 0.09320215 0.59443053 0.37867859 0.40559451] MSE = 0.000574345423235795 ll= -7.6611813492488485\n", "838700 [1. 0.78380515 0.25313141 0.44586573 0.22629502 0.11032077\n", " 0.1556487 0.09319103 0.59441212 0.37863463 0.40554615] MSE = 0.0005720539249598977 ll= -1.5059712919558215\n", "838800 [1. 0.7837117 0.25310123 0.44581257 0.22626803 0.11030762\n", " 0.15563014 0.09317992 0.59434124 0.37858948 0.40549779] MSE = 0.000568426208029417 ll= -1.5059712919558215\n", "838900 [1. 0.78365761 0.25307105 0.44576419 0.22624106 0.11029447\n", " 0.15561159 0.09316881 0.59429661 0.37854435 0.40544945] MSE = 0.0005654713206980065 ll= -5.607757486596192\n", "839000 [1. 0.7835785 0.25304089 0.44571105 0.22621409 0.11028132\n", " 0.15559304 0.09315771 0.59423888 0.37849923 0.40540112] MSE = 0.0005621872318016375 ll= -1.5059712919558215\n", "839100 [1. 0.78351251 0.25301073 0.44566985 0.22618713 0.11026818\n", " 0.15557449 0.0931466 0.59418951 0.37847795 0.40537664] MSE = 0.0005605170989382315 ll= -5.607041286261748\n", "839200 [1. 0.78353831 0.25298057 0.44563103 0.22616017 0.11025504\n", " 0.15558098 0.0931355 0.59422119 0.37849482 0.40539507] MSE = 0.0005628987214006951 ll= -7.203555560686741\n", "839300 [1. 0.78356411 0.2529552 0.44561845 0.22613322 0.1102419\n", " 0.15561368 0.0931244 0.59425643 0.37852598 0.40542779] MSE = 0.0005660578554955873 ll= -5.496335408770612\n", "839400 [1. 0.7835899 0.25292506 0.44559514 0.22610628 0.11022876\n", " 0.15562135 0.09311807 0.59427976 0.37850113 0.4054057 ] MSE = 0.0005659341921855557 ll= -8.655964951787594\n", "839500 [1. 0.78361568 0.2528985 0.44561115 0.22607934 0.11021563\n", " 0.1556314 0.09310698 0.59429712 0.3785573 0.40543483] MSE = 0.0005694517723842068 ll= -7.2826343482823175\n", "839600 [1. 0.78364145 0.25286837 0.44560453 0.22605241 0.1102025\n", " 0.15563669 0.09309589 0.59432877 0.37861465 0.4054997 ] MSE = 0.0005743677059913987 ll= -7.806632458946778\n", "839700 [1. 0.78366722 0.25291567 0.44567056 0.22609695 0.11020605\n", " 0.15567175 0.0930848 0.59435445 0.37861482 0.40550381] MSE = 0.0005736597401329981 ll= -8.611058025255778\n", "839800 [1. 0.78369299 0.25300464 0.44573657 0.22618912 0.11024056\n", " 0.15566988 0.0930761 0.59434679 0.37862213 0.40551387] MSE = 0.0005718590554107193 ll= -8.61941835327515\n", "839900 [1. 0.78371874 0.25309359 0.445799 0.22628126 0.11030126\n", " 0.15570255 0.09312813 0.59437128 0.37867826 0.40557395] MSE = 0.0005735387886952345 ll= -7.261497795275366\n", "840000 [1. 0.78374449 0.25318252 0.44586498 0.22637338 0.11038219\n", " 0.15570187 0.09320752 0.59440052 0.37865936 0.405559 ] MSE = 0.0005708692593353915 ll= -10.60227919282818\n", "840100 [1. 0.78377024 0.25327143 0.44593095 0.22646548 0.11042024\n", " 0.15568929 0.09321429 0.59443333 0.37869405 0.40559048] MSE = 0.0005710690891723338 ll= -6.189201523923934\n", "840200 [1. 0.78379598 0.25336031 0.44599691 0.22655755 0.11042138\n", " 0.15568028 0.09320319 0.59444471 0.378768 0.40566123] MSE = 0.0005734733621935845 ll= -8.869528262756756\n", "840300 [1. 0.78382171 0.25344918 0.44606284 0.22664961 0.11043442\n", " 0.15568436 0.0931921 0.59444894 0.37880386 0.40569983] MSE = 0.0005737634701839388 ll= -5.882639225765742\n", "840400 [1. 0.78384744 0.25353802 0.44612876 0.22674164 0.11053671\n", " 0.15568368 0.09328811 0.59449244 0.37883256 0.40573605] MSE = 0.0005744388252003935 ll= -6.914575487725896\n", "840500 [1. 0.78387316 0.25362684 0.44619467 0.2268277 0.1106009\n", " 0.15569729 0.09335554 0.59451571 0.37881723 0.40572822] MSE = 0.0005723692968597711 ll= -16.05701418026746\n", "840600 [1. 0.78389887 0.25371565 0.44625937 0.22691969 0.11061987\n", " 0.15575967 0.09337299 0.59454967 0.37886734 0.40578822] MSE = 0.0005743389008942008 ll= -4.13315741756256\n", "840700 [1. 0.78392458 0.25380443 0.44632524 0.22701166 0.11062574\n", " 0.15574114 0.09336188 0.5945753 0.37890316 0.4058256 ] MSE = 0.000574968457856303 ll= -4.4658763589473285\n", "840800 [1. 0.78395028 0.25389318 0.44638991 0.2271036 0.11064946\n", " 0.15574164 0.09338646 0.59459855 0.37896991 0.40589628] MSE = 0.0005777206346015731 ll= -5.806587045346558\n", "840900 [1. 0.78397598 0.25398192 0.44645457 0.22719553 0.11075523\n", " 0.15573264 0.09349429 0.59462536 0.37903663 0.40596694] MSE = 0.0005808096748148865 ll= -7.785645146851626\n", "841000 [1. 0.78400166 0.25407064 0.44652039 0.22728743 0.11080033\n", " 0.15573195 0.09349982 0.59466881 0.37910215 0.40601617] MSE = 0.0005830692729047516 ll= -8.691646622816702\n", "841100 [1. 0.78402735 0.25415933 0.44658264 0.22737693 0.11079786\n", " 0.15572414 0.0934887 0.59469203 0.37917479 0.4060868 ] MSE = 0.0005860835219010544 ll= -7.041108613584221\n", "841200 [1. 0.78405303 0.25424801 0.44664844 0.22746879 0.11088812\n", " 0.15572465 0.0935727 0.5947105 0.3792486 0.40615741] MSE = 0.0005894548483369092 ll= -5.229214145702185\n", "841300 [1. 0.7840787 0.25433666 0.44670946 0.22756063 0.11099382\n", " 0.15573466 0.09368046 0.59473609 0.37929268 0.40619353] MSE = 0.0005910970913705678 ll= -10.348221520810648\n", "841400 [1. 0.78408059 0.25438131 0.44674076 0.22760727 0.11101153\n", " 0.15573993 0.09369191 0.59474385 0.37929752 0.40614525] MSE = 0.0005889195511979225 ll= -1.5059712919558215\n", "841500 [1. 0.78404445 0.25435108 0.44671143 0.22758022 0.11099834\n", " 0.15572142 0.09368077 0.59472902 0.37925244 0.40609698] MSE = 0.00058597665683047 ll= -5.724293999853572\n", "841600 [1. 0.78396316 0.25432086 0.44665835 0.22755318 0.11098515\n", " 0.15570291 0.09366964 0.5946631 0.37920737 0.40604872] MSE = 0.0005820720972033068 ll= -4.700543878273415\n", "841700 [1. 0.78398883 0.25429064 0.4466124 0.22752614 0.11097196\n", " 0.15570817 0.09365851 0.59469582 0.37923836 0.40608246] MSE = 0.0005852228164674566 ll= -6.178707217159735\n", "841800 [1. 0.78401449 0.25426637 0.44659499 0.22749911 0.11095877\n", " 0.15569443 0.09364738 0.59473328 0.37929429 0.4061352 ] MSE = 0.0005896866006815881 ll= -5.23718281707106\n", "841900 [1. 0.78404015 0.25423616 0.44657163 0.22747208 0.11094559\n", " 0.15569256 0.09363626 0.59474103 0.37935258 0.40620575] MSE = 0.0005946038491895229 ll= -3.304864423134154\n", "842000 [1. 0.7840658 0.25423566 0.44658511 0.22747476 0.11093479\n", " 0.1556812 0.09362513 0.59478679 0.37937047 0.40622283] MSE = 0.0005963483168326853 ll= -4.019247219123568\n", "842100 [1. 0.78409145 0.25432423 0.44665083 0.22754632 0.111\n", " 0.15572803 0.09364252 0.59480404 0.37944181 0.40629335] MSE = 0.000599714783067685 ll= -13.560124326436279\n", "842200 [1. 0.78411709 0.25441278 0.44671298 0.22763805 0.11108182\n", " 0.15573566 0.09374184 0.59483316 0.37949412 0.40635435] MSE = 0.0006025264601391669 ll= -4.662912722221423\n", "842300 [1. 0.78414272 0.25450131 0.44677867 0.22770363 0.11118737\n", " 0.15571717 0.09384944 0.59486345 0.37950131 0.40635835] MSE = 0.0006024432256012389 ll= -4.49245459877406\n", "842400 [1. 0.78416835 0.25458981 0.44684435 0.22779532 0.11129289\n", " 0.1557248 0.09395702 0.59489493 0.37948949 0.40635166] MSE = 0.0006013345116161863 ll= -6.58979337740773\n", "842500 [1. 0.78419397 0.2546783 0.44689696 0.22788699 0.11138177\n", " 0.1557443 0.0940349 0.59493827 0.37944919 0.40630342] MSE = 0.0005980761513789101 ll= -6.915878102160451\n", "842600 [1. 0.78421958 0.25476677 0.44696261 0.22797864 0.11145875\n", " 0.1557816 0.0940724 0.5949638 0.37940415 0.40625519] MSE = 0.0005943748647192442 ll= -6.8697505503162075\n", "842700 [1. 0.78424519 0.25485521 0.44702825 0.22806789 0.11154878\n", " 0.15582008 0.09417636 0.59497033 0.37935913 0.40621054] MSE = 0.0005910486198845304 ll= -11.403828435905764\n", "842800 [1. 0.7842708 0.25494007 0.44709386 0.22813575 0.11164946\n", " 0.1558099 0.09426605 0.59494838 0.3793153 0.40616234] MSE = 0.0005875038379347809 ll= -6.245099149750436\n", "842900 [1. 0.78418605 0.25490982 0.44704319 0.22810869 0.11163621\n", " 0.15579141 0.09425486 0.59487779 0.37927029 0.40611414] MSE = 0.00058329958633094 ll= -1.5059712919558215\n", "843000 [1. 0.78421046 0.25489738 0.44706015 0.22808755 0.11162297\n", " 0.15578479 0.09424368 0.5948867 0.37926207 0.4061063 ] MSE = 0.0005833747012684797 ll= -11.0443857025502\n", "843100 [1. 0.78423606 0.25488612 0.44707592 0.2280605 0.11161447\n", " 0.15580071 0.0942325 0.59492764 0.37931791 0.40617675] MSE = 0.0005883022677964786 ll= -2.478282856074532\n", "843200 [1. 0.78426165 0.25485589 0.44708457 0.22803345 0.11160123\n", " 0.15582968 0.09422133 0.59496738 0.37937967 0.40623414] MSE = 0.0005931703157288067 ll= -5.694361959539956\n", "843300 [1. 0.78428724 0.25482566 0.44704934 0.2280064 0.111588\n", " 0.15583847 0.09421015 0.59500593 0.37939279 0.40624051] MSE = 0.0005948932946759245 ll= -5.365079543644997\n", "843400 [1. 0.78429266 0.25480612 0.44702241 0.22798174 0.11158188\n", " 0.15584727 0.09419898 0.59500889 0.37935254 0.4062042 ] MSE = 0.0005929311488105674 ll= -5.659093474199643\n", "843500 [1. 0.78431824 0.25477591 0.44701447 0.22795471 0.11156865\n", " 0.1558525 0.09418781 0.59503557 0.37937041 0.40623785] MSE = 0.0005955760062728854 ll= -4.660253023688572\n", "843600 [1. 0.78434381 0.2547457 0.447016 0.22792768 0.11155542\n", " 0.15587433 0.09417664 0.59504801 0.37941197 0.40629757] MSE = 0.000599663853208274 ll= -5.651076066027347\n", "843700 [1. 0.78436937 0.25472262 0.44701754 0.22790066 0.1115422\n", " 0.15585941 0.09416548 0.59504623 0.37943694 0.40634068] MSE = 0.0006024581107056802 ll= -7.253877916966883\n", "843800 [1. 0.78439493 0.25469243 0.44701434 0.22787365 0.11152898\n", " 0.15584924 0.09415432 0.59508593 0.37943582 0.40632571] MSE = 0.000603079828356011 ll= -10.851127641017182\n", "843900 [1. 0.78442048 0.25466224 0.44703129 0.22784665 0.11151576\n", " 0.15583906 0.09414316 0.59512799 0.37949514 0.40639607] MSE = 0.0006083566571280492 ll= -8.477403089537056\n", "844000 [1. 0.78444602 0.25463207 0.44703519 0.22781965 0.11150255\n", " 0.15582652 0.09413201 0.59515701 0.37956748 0.40646641] MSE = 0.0006139026260380831 ll= -5.689769836902849\n", "844100 [1. 0.78447156 0.2546019 0.44699882 0.22779265 0.11148934\n", " 0.1558436 0.09412085 0.59519431 0.37963389 0.40653673] MSE = 0.0006194195185238409 ll= -5.451790819485847\n", "844200 [1. 0.7844971 0.25457173 0.44697429 0.22776567 0.11147613\n", " 0.1558512 0.0941097 0.59521028 0.37968724 0.40659282] MSE = 0.0006238492483927742 ll= -5.7585685054888005\n", "844300 [1. 0.78452262 0.2545629 0.44698413 0.22773869 0.11146292\n", " 0.15588249 0.09409855 0.59524283 0.37967899 0.40659441] MSE = 0.0006246134822859846 ll= -2.4915759878112294\n", "844400 [1. 0.7845138 0.25453275 0.44693592 0.22771171 0.11144972\n", " 0.15588298 0.09409452 0.59523984 0.37965889 0.40657468] MSE = 0.0006237111320152535 ll= -1.5059712919558215\n", "844500 [1. 0.78443155 0.25450261 0.44688299 0.22768475 0.11143652\n", " 0.15586452 0.09408337 0.59516935 0.37961393 0.40652653] MSE = 0.0006194557256853116 ll= -1.5059712919558215\n", "844600 [1. 0.78444997 0.25447484 0.44688218 0.22765779 0.11142333\n", " 0.15589935 0.09407223 0.59517703 0.37964239 0.40655654] MSE = 0.0006221136394486867 ll= -6.883266313004604\n", "844700 [1. 0.78447549 0.25446957 0.44691096 0.22763083 0.11141013\n", " 0.15592825 0.09408241 0.59518944 0.37970992 0.40662681] MSE = 0.0006273246289513132 ll= -4.588175425209112\n", "844800 [1. 0.78447496 0.25443945 0.44690304 0.22760388 0.11139695\n", " 0.1559311 0.094076 0.59518527 0.37970877 0.40662602] MSE = 0.000627720260548113 ll= -1.5059712919558215\n", "844900 [1. 0.78440223 0.25440933 0.44686908 0.22757694 0.11138376\n", " 0.15591264 0.09406487 0.59512784 0.37966383 0.40657789] MSE = 0.0006237327241293417 ll= -8.980615715464094\n", "845000 [1. 0.78442774 0.25438869 0.44686235 0.22755001 0.11137058\n", " 0.15591076 0.09405373 0.59515682 0.37961889 0.40652977] MSE = 0.0006217707676355863 ll= -5.913690868356955\n", "845100 [1. 0.78437041 0.25435858 0.44681538 0.22752308 0.1113574\n", " 0.15589231 0.0940426 0.59511124 0.37957396 0.40648166] MSE = 0.0006181314049823179 ll= -1.5059712919558215\n", "845200 [1. 0.78432848 0.25432848 0.44677553 0.22749615 0.11134422\n", " 0.15587386 0.09403148 0.59506922 0.37952905 0.40643356] MSE = 0.0006147336261775381 ll= -1.5059712919558215\n", "845300 [1. 0.78423568 0.25429839 0.44672267 0.22746924 0.11133105\n", " 0.15585542 0.09402035 0.59499882 0.37948415 0.40638547] MSE = 0.0006104873936818013 ll= -1.5059712919558215\n", "845400 [1. 0.7841855 0.25426831 0.44666982 0.22744233 0.11131788\n", " 0.15583698 0.09400923 0.59495327 0.37943925 0.4063374 ] MSE = 0.0006070228337573926 ll= -6.17093778907223\n", "845500 [1. 0.78421102 0.25423823 0.44665247 0.22741542 0.11130471\n", " 0.15581855 0.09399811 0.59499527 0.37939437 0.40628933] MSE = 0.0006053233940072694 ll= -5.8451125810455205\n", "845600 [1. 0.7841916 0.25420816 0.44662921 0.22738853 0.11129154\n", " 0.15580603 0.09398699 0.59497694 0.37935186 0.40624128] MSE = 0.0006025826883178072 ll= -1.5059712919558215\n", "845700 [1. 0.78419939 0.2541781 0.44660005 0.22736164 0.11127838\n", " 0.15581126 0.09397588 0.59498226 0.37933538 0.40622044] MSE = 0.0006020936967026139 ll= -3.750912003965047\n", "845800 [1. 0.7842249 0.25414804 0.44658035 0.22733475 0.11126522\n", " 0.1557952 0.09396476 0.59502424 0.37937567 0.4062469 ] MSE = 0.00060538943392111 ll= -4.4463270868014115\n", "845900 [1. 0.78425041 0.25411799 0.44655474 0.22730787 0.11125207\n", " 0.15580634 0.09395365 0.59505557 0.37939466 0.40627335] MSE = 0.0006079935606243272 ll= -7.192469167343747\n", "846000 [1. 0.78421799 0.25408795 0.44652796 0.227281 0.11123892\n", " 0.15578792 0.09394255 0.59503487 0.37939709 0.40627616] MSE = 0.0006080930905444696 ll= -1.5059712919558215\n", "846100 [1. 0.7841253 0.25405792 0.44647518 0.22725414 0.11122577\n", " 0.1557695 0.09393144 0.59496454 0.37935225 0.40622813] MSE = 0.0006039639738851721 ll= -1.5059712919558215\n", "846200 [1. 0.78409408 0.25402789 0.44644723 0.22722728 0.11121262\n", " 0.15575228 0.09392034 0.5949285 0.37933814 0.4062073 ] MSE = 0.0006026820797314916 ll= -6.337338600857193\n", "846300 [1. 0.78411959 0.25399787 0.44642165 0.22720043 0.11119948\n", " 0.15576223 0.09390924 0.59492082 0.37936303 0.4062373 ] MSE = 0.0006051757658062807 ll= -6.774639044253749\n", "846400 [1. 0.7841451 0.25396904 0.44642916 0.22717358 0.11118634\n", " 0.15576864 0.09389814 0.59492615 0.37942337 0.40630273] MSE = 0.0006099772221018157 ll= -6.034751543849872\n", "846500 [1. 0.78413398 0.25394022 0.44638114 0.22714674 0.1111732\n", " 0.1557526 0.09388705 0.59489957 0.37937854 0.40625473] MSE = 0.0006072341227878497 ll= -1.5059712919558215\n", "846600 [1. 0.78408978 0.25391967 0.44635322 0.22711991 0.11116007\n", " 0.1557342 0.09387596 0.59484938 0.37933373 0.40620673] MSE = 0.0006037852700889906 ll= -5.453105797477582\n", "846700 [1. 0.78411528 0.2538944 0.44633239 0.22709308 0.11114694\n", " 0.15573234 0.09386487 0.59488661 0.37929837 0.40616466] MSE = 0.0006025498216462121 ll= -10.332473689051175\n", "846800 [1. 0.78414078 0.25398252 0.4463966 0.22718436 0.11113381\n", " 0.15573993 0.09385615 0.5949191 0.37928074 0.4061533 ] MSE = 0.0006002964405332975 ll= -7.032988947046979\n", "846900 [1. 0.78416627 0.25407062 0.44645017 0.22727563 0.11113132\n", " 0.15575224 0.09385215 0.59494568 0.37925957 0.4061136 ] MSE = 0.0005970363456021371 ll= -5.017988261075966\n", "847000 [1. 0.78419176 0.2541587 0.44651553 0.22736687 0.11123627\n", " 0.15574566 0.09395915 0.59496281 0.37923722 0.40609281] MSE = 0.0005948054663722432 ll= -12.356714089851364\n", "847100 [1. 0.78421724 0.25424675 0.44657733 0.22744746 0.11133058\n", " 0.15573436 0.09405313 0.59496576 0.37919244 0.40604486] MSE = 0.0005910070682961867 ll= -5.828036038628888\n", "847200 [1. 0.78424271 0.25433479 0.44664266 0.22753866 0.11133042\n", " 0.15571597 0.09404203 0.59498288 0.37918782 0.40604887] MSE = 0.000589600171894046 ll= -5.759928431820215\n", "847300 [1. 0.78426818 0.25440392 0.44670208 0.22761095 0.11135977\n", " 0.15571412 0.09403093 0.59499528 0.37924929 0.40611898] MSE = 0.0005926570304679257 ll= -6.264048114077058\n", "847400 [1. 0.78429364 0.25437389 0.44668712 0.22758409 0.11134663\n", " 0.15575475 0.09401983 0.59501947 0.37923404 0.40613006] MSE = 0.0005936535192326031 ll= -6.99991150980365\n", "847500 [1. 0.78431909 0.25434978 0.44669224 0.22755723 0.11133349\n", " 0.15576941 0.09400873 0.59505074 0.37926481 0.40616238] MSE = 0.0005966759086677081 ll= -12.125031704627604\n", "847600 [1. 0.78433156 0.25433038 0.44669145 0.22753038 0.11132035\n", " 0.15575811 0.09399764 0.59507139 0.37925546 0.40611445] MSE = 0.0005955721853943137 ll= -4.9761197146677585\n", "847700 [1. 0.78429448 0.25430038 0.44663992 0.22750354 0.11130722\n", " 0.15573974 0.09398655 0.59504719 0.37921307 0.40606654] MSE = 0.0005925925098921171 ll= -1.5059712919558215\n", "847800 [1. 0.78424325 0.25428335 0.44658724 0.2274767 0.11129409\n", " 0.15572136 0.09397546 0.59497818 0.37916834 0.40601864] MSE = 0.0005888038666173717 ll= -1.5059712919558215\n", "847900 [1. 0.78426516 0.25425336 0.44656405 0.22744987 0.11128096\n", " 0.15573484 0.09397028 0.595 0.37912361 0.40597075] MSE = 0.0005869943778219124 ll= -8.82952286891015\n", "848000 [1. 0.78420568 0.25422338 0.44652789 0.22742305 0.11126784\n", " 0.15571648 0.09395919 0.59494752 0.3790789 0.40592287] MSE = 0.0005834450960952844 ll= -1.5059712919558215\n", "848100 [1. 0.7842217 0.25428184 0.44655071 0.22742217 0.11132901\n", " 0.15573939 0.09401533 0.59494811 0.3790342 0.405875 ] MSE = 0.0005805078525231379 ll= -17.404181964519026\n", "848200 [1. 0.78424714 0.25426011 0.44653107 0.22739535 0.1113206\n", " 0.15573989 0.09400424 0.59498526 0.37907676 0.40591911] MSE = 0.0005842673991396643 ll= -8.694958781359619\n", "848300 [1. 0.78427258 0.25423603 0.44654563 0.22736855 0.11130747\n", " 0.15572389 0.09399316 0.59499882 0.37913228 0.40597618] MSE = 0.0005885655977860692 ll= -4.141619205828068\n", "848400 [1. 0.78429801 0.25420606 0.44653189 0.22734174 0.11129435\n", " 0.15577154 0.09401627 0.59501002 0.37909938 0.40594247] MSE = 0.0005876785646245899 ll= -6.096046494595081\n", "848500 [1. 0.78432343 0.2541761 0.44652405 0.22731495 0.11128124\n", " 0.15578029 0.09400519 0.59503182 0.37905469 0.40589934] MSE = 0.0005860463174113468 ll= -4.9641491452597295\n", "848600 [1. 0.78434885 0.25414614 0.44655628 0.22728816 0.11126812\n", " 0.15577018 0.09399411 0.59506423 0.37901355 0.40585975] MSE = 0.0005847004631832523 ll= -7.86191306284941\n", "848700 [1. 0.78437426 0.25411619 0.44655904 0.22726137 0.11125501\n", " 0.15578836 0.09398892 0.59508367 0.3789901 0.40583078] MSE = 0.000584166346067673 ll= -4.5874237389967165\n", "848800 [1. 0.78439967 0.25408625 0.44656062 0.22723459 0.1112419\n", " 0.15578885 0.09397785 0.59510899 0.37905385 0.40590079] MSE = 0.0005893399304958153 ll= -6.023125886724655\n", "848900 [1. 0.78442507 0.25405631 0.44657988 0.22720782 0.11122879\n", " 0.15579171 0.09398091 0.5951402 0.37910815 0.40596136] MSE = 0.000594082600725845 ll= -10.18740962131649\n", "849000 [1. 0.78445047 0.25402992 0.44658264 0.22718106 0.11121569\n", " 0.15578396 0.09396984 0.5951608 0.3790741 0.40591354] MSE = 0.0005925552024675933 ll= -5.569169370589318\n", "849100 [1. 0.78447585 0.254 0.44656302 0.2271543 0.11120259\n", " 0.15579034 0.09395878 0.59517668 0.37904358 0.40586572] MSE = 0.0005911637647252144 ll= -6.401759980677692\n", "849200 [1. 0.78450124 0.25397009 0.44658109 0.22712755 0.11118949\n", " 0.15578024 0.09394771 0.59520551 0.37900247 0.40582499] MSE = 0.0005897975321954243 ll= -8.694120292858551\n", "849300 [1. 0.78452661 0.25394018 0.44653556 0.2271008 0.1111764\n", " 0.15577602 0.09393665 0.59523552 0.37895902 0.4057772 ] MSE = 0.0005882213870233785 ll= -6.0330264867593755\n", "849400 [1. 0.78445543 0.25391028 0.44649123 0.22707406 0.11116331\n", " 0.15575768 0.09392559 0.59517014 0.3789144 0.40572942] MSE = 0.0005844249001786645 ll= -1.5059712919558215\n", "849500 [1. 0.78439251 0.25388039 0.44645397 0.22704733 0.11115022\n", " 0.15574052 0.09391453 0.59512126 0.37886979 0.40568166] MSE = 0.0005809317173983381 ll= -5.891508129106146\n", "849600 [1. 0.78440377 0.25385874 0.44642849 0.2270206 0.11113714\n", " 0.15574691 0.09390347 0.59513243 0.37882519 0.4056339 ] MSE = 0.0005788929835878578 ll= -4.957020938276358\n", "849700 [1. 0.78442914 0.25382886 0.44640419 0.22699388 0.11112406\n", " 0.1557686 0.09390537 0.59516714 0.37882533 0.40558851] MSE = 0.0005788045229582293 ll= -4.663435761367648\n", "849800 [1. 0.78445451 0.25379899 0.44640226 0.22696716 0.11111098\n", " 0.1557585 0.09389432 0.59520066 0.3788443 0.40560904] MSE = 0.0005812027848706245 ll= -6.78297496210843\n", "849900 [1. 0.78447988 0.25378089 0.44643563 0.22694046 0.11109791\n", " 0.15574017 0.09388327 0.59523182 0.37882678 0.40558249] MSE = 0.0005808796416527115 ll= -5.163373707776704\n", "850000 [1. 0.78450524 0.25375103 0.44641958 0.22691375 0.11108483\n", " 0.1557242 0.09387222 0.59525709 0.37880339 0.40553477] MSE = 0.0005798548318970967 ll= -4.968277207544015\n", "850100 [1. 0.78450471 0.25374471 0.44643647 0.22688706 0.11107176\n", " 0.15570941 0.09386118 0.59523294 0.37876235 0.40549529] MSE = 0.0005774491477508664 ll= -6.023747321228348\n", "850200 [1. 0.78446418 0.25371486 0.44640866 0.22686037 0.1110587\n", " 0.1556911 0.09385014 0.59520174 0.37873544 0.40546642] MSE = 0.0005755434190644991 ll= -5.162368496217654\n", "850300 [1. 0.78448953 0.25368502 0.44640085 0.22683369 0.11104564\n", " 0.15568337 0.0938391 0.59523877 0.37879558 0.40550459] MSE = 0.0005797228507583871 ll= -6.096540614738659\n", "850400 [1. 0.78441726 0.25365518 0.44635893 0.22680701 0.11103258\n", " 0.15566506 0.09382806 0.59518288 0.37875103 0.4054569 ] MSE = 0.0005761129964105931 ll= -1.5059712919558215\n", "850500 [1. 0.78432502 0.25362535 0.44630644 0.22678034 0.11101952\n", " 0.15564675 0.09381703 0.59511289 0.37870649 0.40540922] MSE = 0.000572168511462527 ll= -1.5059712919558215\n", "850600 [1. 0.78423633 0.25359553 0.44625397 0.22675367 0.11100647\n", " 0.15562845 0.093806 0.59504527 0.37866196 0.40536155] MSE = 0.0005683351159406191 ll= -5.192262668945684\n", "850700 [1. 0.78418528 0.25356572 0.44620503 0.22672702 0.11099342\n", " 0.15561486 0.09379497 0.59500235 0.37863155 0.40532683] MSE = 0.0005660214671940562 ll= -4.480303522901236\n", "850800 [1. 0.78421065 0.25358176 0.44619607 0.22674033 0.11098037\n", " 0.15562478 0.09378394 0.59503703 0.37867521 0.40536147] MSE = 0.0005686210200966883 ll= -4.766547205583202\n", "850900 [1. 0.78423601 0.25366949 0.44626117 0.22683122 0.11098143\n", " 0.15564057 0.09377292 0.59505407 0.37867536 0.40537024] MSE = 0.0005672476514315351 ll= -6.992998294097341\n", "851000 [1. 0.78426137 0.2537572 0.44632507 0.22692208 0.11100012\n", " 0.15562228 0.0937619 0.5950852 0.3786955 0.40538841] MSE = 0.0005668855301902648 ll= -8.232253696489948\n", "851100 [1. 0.78428672 0.25384489 0.44639013 0.22701293 0.11101058\n", " 0.15561457 0.09375676 0.59507756 0.37869565 0.40539483] MSE = 0.0005652641331587484 ll= -5.055704184292686\n", "851200 [1. 0.78431207 0.25393256 0.44645518 0.22710375 0.11099753\n", " 0.15561626 0.09374574 0.59508871 0.3787099 0.40541652] MSE = 0.0005647503310795809 ll= -7.832423602063683\n", "851300 [1. 0.78433741 0.25402021 0.44651786 0.22719455 0.11107025\n", " 0.15560973 0.09379934 0.59510221 0.37877585 0.40548637] MSE = 0.0005675353600283896 ll= -10.109056368756768\n", "851400 [1. 0.78436274 0.25410784 0.44656173 0.22725361 0.11117467\n", " 0.15562199 0.09390579 0.59508986 0.3788406 0.40555621] MSE = 0.000570678287559171 ll= -11.286472306728406\n", "851500 [1. 0.78438807 0.2541837 0.44662203 0.22732911 0.1111992\n", " 0.15561546 0.09392412 0.59512333 0.37890886 0.40562485] MSE = 0.0005739547983292224 ll= -5.0159650287545645\n", "851600 [1. 0.78441339 0.25415385 0.44659894 0.22730241 0.11118614\n", " 0.1556007 0.09391309 0.59514504 0.37887375 0.40557722] MSE = 0.000572496711340216 ll= -4.450856168084727\n", "851700 [1. 0.78436473 0.254124 0.44656059 0.22727572 0.11117309\n", " 0.15558948 0.09390207 0.59510686 0.37882926 0.40552959] MSE = 0.0005692920691062219 ll= -8.005384451469746\n", "851800 [1. 0.78439004 0.25409416 0.44653986 0.22724903 0.11116003\n", " 0.15557121 0.09389104 0.59514735 0.3788294 0.40553481] MSE = 0.0005707148118070914 ll= -5.557843703557709\n", "851900 [1. 0.78440362 0.25406433 0.44653557 0.22722235 0.11114698\n", " 0.15556938 0.09388002 0.59515379 0.37886241 0.4055776 ] MSE = 0.0005737590297873242 ll= -5.27669711465556\n", "852000 [1. 0.78442892 0.25412724 0.44657237 0.22728372 0.11113981\n", " 0.15555934 0.093869 0.59517079 0.37893415 0.40564738] MSE = 0.00057713841308038 ll= -10.31262947650831\n", "852100 [1. 0.78445423 0.25421479 0.44663028 0.22737441 0.11112676\n", " 0.15557512 0.09385798 0.5951831 0.37899413 0.40571714] MSE = 0.0005796383754061126 ll= -9.019110546662207\n", "852200 [1. 0.78447952 0.25420725 0.44662833 0.22735594 0.11111372\n", " 0.15558503 0.09384697 0.59520479 0.37905058 0.40578688] MSE = 0.000584237114654208 ll= -8.679404772746423\n", "852300 [1. 0.78450481 0.25417742 0.44657827 0.22732927 0.11110068\n", " 0.15559141 0.09383595 0.59519362 0.37912345 0.40585661] MSE = 0.000589315387416821 ll= -5.549894896767018\n", "852400 [1. 0.7845301 0.2541476 0.4465423 0.22730259 0.11108765\n", " 0.15557785 0.09382494 0.59521647 0.37917635 0.40591693] MSE = 0.0005938810611751199 ll= -6.020545717112708\n", "852500 [1. 0.78455537 0.25411779 0.4465427 0.22727593 0.11107461\n", " 0.15558775 0.09381394 0.59522642 0.37916471 0.40590802] MSE = 0.000594198471648482 ll= -6.65690790311131\n", "852600 [1. 0.78458065 0.25408798 0.44653021 0.22724927 0.11106158\n", " 0.15558123 0.09380293 0.59526452 0.37920469 0.40594135] MSE = 0.0005976929376054567 ll= -9.61756100137992\n", "852700 [1. 0.78456369 0.25405817 0.44647783 0.22722261 0.11104856\n", " 0.15556416 0.09379193 0.59524631 0.37916139 0.40589374] MSE = 0.0005950581298523818 ll= -5.80244033936237\n", "852800 [1. 0.78458895 0.25403073 0.44647707 0.22719597 0.11103553\n", " 0.15560924 0.09378093 0.59526445 0.37915562 0.40590008] MSE = 0.0005961451379861859 ll= -7.69381488220468\n", "852900 [1. 0.78461421 0.25400094 0.44643527 0.22716932 0.11102251\n", " 0.15563086 0.09376993 0.59528612 0.3791651 0.4059076 ] MSE = 0.000597806386762775 ll= -6.922202568898793\n", "853000 [1. 0.78462188 0.25397116 0.44640755 0.22714269 0.1110095\n", " 0.155622 0.09375894 0.59530543 0.37915582 0.4058987 ] MSE = 0.0005981204323833505 ll= -4.113354825234701\n", "853100 [1. 0.78464713 0.25394138 0.44637046 0.22711606 0.11099648\n", " 0.15562016 0.09374795 0.59531301 0.37922743 0.40596835] MSE = 0.0006034320016922543 ll= -8.01074034586526\n", "853200 [1. 0.78467237 0.25391162 0.44636737 0.22708944 0.11098347\n", " 0.15563826 0.09373696 0.59534169 0.37929199 0.40603798] MSE = 0.0006087755378894114 ll= -5.661405372319313\n", "853300 [1. 0.78464252 0.25388186 0.44632677 0.22706282 0.11097046\n", " 0.15562705 0.09372597 0.59532466 0.37930145 0.40604196] MSE = 0.0006092212082925452 ll= -1.5059712919558215\n", "853400 [1. 0.78456346 0.2538521 0.44627446 0.22703621 0.11095746\n", " 0.15560881 0.09371499 0.59526427 0.379257 0.40599437] MSE = 0.0006053597127918581 ll= -1.5059712919558215\n", "853500 [1. 0.78453832 0.25382236 0.44625029 0.22700961 0.11094446\n", " 0.15559878 0.09370401 0.59524607 0.37924889 0.40598781] MSE = 0.0006049939157968704 ll= -4.724017409196728\n", "853600 [1. 0.78456356 0.25379262 0.44624019 0.22698301 0.11093146\n", " 0.1555911 0.09369303 0.59528998 0.37931693 0.40605741] MSE = 0.0006106057512408145 ll= -4.785362378176748\n", "853700 [1. 0.7845888 0.25376289 0.4462172 0.22695642 0.11091846\n", " 0.15559747 0.09368205 0.59532451 0.37938847 0.40612699] MSE = 0.0006162743024924252 ll= -5.19598445291528\n", "853800 [1. 0.78461403 0.25373316 0.44619773 0.22692983 0.11090547\n", " 0.15558861 0.09367108 0.59536137 0.37945414 0.40619656] MSE = 0.000621804107508994 ll= -6.364890033973476\n", "853900 [1. 0.78463926 0.25370344 0.44619232 0.22690326 0.11089248\n", " 0.15560904 0.09366011 0.59539353 0.37952448 0.4062661 ] MSE = 0.0006274494528751733 ll= -5.558965451780521\n", "854000 [1. 0.78466448 0.25367373 0.44618339 0.22687668 0.11087949\n", " 0.15566577 0.09366671 0.59542218 0.37957372 0.40632158] MSE = 0.0006321019100705843 ll= -9.864775106928905\n", "854100 [1. 0.7846534 0.25364403 0.44614988 0.22685012 0.11086651\n", " 0.15564754 0.09365574 0.59542272 0.3795445 0.40629859] MSE = 0.0006309573658787144 ll= -1.5059712919558215\n", "854200 [1. 0.78456153 0.25361433 0.44609765 0.22682356 0.11085353\n", " 0.15562932 0.09364477 0.595353 0.37950006 0.40625102] MSE = 0.0006268251698891396 ll= -1.5059712919558215\n", "854300 [1. 0.78454577 0.25358464 0.44606532 0.226797 0.11084055\n", " 0.15564856 0.09363381 0.59532779 0.37946383 0.40620347] MSE = 0.0006243792561818839 ll= -5.361011313914433\n", "854400 [1. 0.78452183 0.25355496 0.44601311 0.22677046 0.11082758\n", " 0.15563034 0.09362285 0.59527098 0.37941941 0.4062121 ] MSE = 0.0006230987012834633 ll= -2.8853812232350484\n", "854500 [1. 0.78454705 0.25352528 0.44596091 0.22674391 0.11081461\n", " 0.15561213 0.09361189 0.59520716 0.379375 0.4062816 ] MSE = 0.0006243484755250641 ll= -3.054902837721041\n", "854600 [1. 0.78457226 0.25349561 0.44591106 0.22671738 0.11080164\n", " 0.15560913 0.09360094 0.59517028 0.37934816 0.40632534] MSE = 0.0006255970924088257 ll= -5.76083444821448\n", "854700 [1. 0.78459747 0.25347414 0.44591388 0.22669085 0.11078867\n", " 0.15559794 0.09358998 0.59519307 0.37935759 0.40635268] MSE = 0.00062782095480437 ll= -8.468003477607043\n", "854800 [1. 0.78461448 0.25344448 0.44588277 0.22666433 0.11077571\n", " 0.15558325 0.09357903 0.59521587 0.37933076 0.40633673] MSE = 0.0006276163201465869 ll= -1.5059712919558215\n", "854900 [1. 0.78456832 0.25341483 0.4458423 0.22663781 0.11076275\n", " 0.15557791 0.09356809 0.59518952 0.37928638 0.40628919] MSE = 0.0006245934739421448 ll= -5.3307286782970325\n", "855000 [1. 0.78459352 0.25346941 0.44588022 0.22669435 0.1107498\n", " 0.15559949 0.09355948 0.5951854 0.37933092 0.40635045] MSE = 0.0006268250159147039 ll= -11.005922733291019\n", "855100 [1. 0.78460936 0.25353333 0.44590994 0.22672982 0.11073684\n", " 0.15562105 0.09355322 0.59519298 0.37931111 0.40633333] MSE = 0.0006247532302486225 ll= -1.5059712919558215\n", "855200 [1. 0.7845176 0.25350368 0.44585779 0.22670331 0.11072389\n", " 0.15560285 0.09354228 0.59512338 0.37926675 0.40628581] MSE = 0.0006207285806099738 ll= -1.5059712919558215\n", "855300 [1. 0.78445042 0.25347404 0.44580566 0.2266768 0.11071094\n", " 0.15558466 0.09353134 0.59507484 0.3792224 0.40623831] MSE = 0.0006172616469057816 ll= -9.175092130789865\n", "855400 [1. 0.78439378 0.25344441 0.44576055 0.2266503 0.110698\n", " 0.15556647 0.0935204 0.59501228 0.37917807 0.40620016] MSE = 0.0006140920294260984 ll= -6.040177671705188\n", "855500 [1. 0.78441899 0.25341945 0.44578443 0.2266238 0.11068506\n", " 0.15557517 0.09350947 0.5950304 0.37919219 0.40621931] MSE = 0.0006161258184901383 ll= -6.013786743247563\n", "855600 [1. 0.78443717 0.25339217 0.44576388 0.22659731 0.11067212\n", " 0.15557335 0.09349854 0.595045 0.37920397 0.40623027] MSE = 0.0006178334000547553 ll= -1.5059712919558215\n", "855700 [1. 0.78435367 0.25336255 0.44571178 0.22657083 0.11065919\n", " 0.15555517 0.09348761 0.59497896 0.37915965 0.4061828 ] MSE = 0.0006140498648819824 ll= -5.027637867927725\n", "855800 [1. 0.78437303 0.25333294 0.44568073 0.22654435 0.11064625\n", " 0.15555101 0.09347669 0.59499825 0.37911534 0.40613533] MSE = 0.00061233601202617 ll= -7.17175513846996\n", "855900 [1. 0.78439822 0.25332087 0.44566838 0.22651788 0.11063333\n", " 0.15555854 0.09346576 0.59498247 0.37916803 0.40615214] MSE = 0.0006149984935721552 ll= -10.723236807446352\n", "856000 [1. 0.78442341 0.25329127 0.44562799 0.22649141 0.1106204\n", " 0.1555836 0.09345484 0.59497138 0.37914125 0.40615025] MSE = 0.0006150912698014198 ll= -3.1606423854860277\n", "856100 [1. 0.78438201 0.25326168 0.44557593 0.22646495 0.11060748\n", " 0.15556542 0.09344393 0.59494509 0.37909696 0.40614836] MSE = 0.00061374575468818 ll= -1.5059712919558215\n", "856200 [1. 0.78429389 0.2532321 0.44552739 0.2264385 0.11059456\n", " 0.15554725 0.09343301 0.5948756 0.37905268 0.40610092] MSE = 0.0006099425267370702 ll= -7.5427588991549\n", "856300 [1. 0.78431908 0.25320252 0.44552091 0.22641205 0.11058164\n", " 0.15559799 0.09343962 0.59488087 0.37911469 0.40616094] MSE = 0.0006148090945667238 ll= -10.289504504354593\n", "856400 [1. 0.78434194 0.25317295 0.4454934 0.22638561 0.11056873\n", " 0.1555915 0.09343571 0.59489081 0.37913698 0.40618358] MSE = 0.0006173087858760808 ll= -1.5059712919558215\n", "856500 [1. 0.78431691 0.25314339 0.44544839 0.22635918 0.11055582\n", " 0.15561653 0.0934248 0.59486455 0.37909271 0.40613615] MSE = 0.0006147184186617613 ll= -6.8119575166868644\n", "856600 [1. 0.78423935 0.25311384 0.44539638 0.22633275 0.11054291\n", " 0.15559837 0.09341389 0.59480093 0.37904845 0.40608873] MSE = 0.000611154821418607 ll= -1.5059712919558215\n", "856700 [1. 0.784205 0.25308429 0.4453619 0.22630633 0.11053\n", " 0.15562456 0.09340299 0.59477936 0.3790042 0.40604133] MSE = 0.0006085178393713249 ll= -1.5059712919558215\n", "856800 [1. 0.78416365 0.25305474 0.44535193 0.22627991 0.1105171\n", " 0.15561223 0.09339209 0.59475312 0.37895996 0.40599393] MSE = 0.000605661713588725 ll= -1.5059712919558215\n", "856900 [1. 0.78417717 0.25302521 0.44531046 0.2262535 0.1105042\n", " 0.15562325 0.09338119 0.59478175 0.37892624 0.40594655] MSE = 0.0006044084076861247 ll= -7.664437888918751\n", "857000 [1. 0.78414751 0.25299568 0.445283 0.2262271 0.11049131\n", " 0.15561676 0.09337029 0.59475201 0.37888202 0.40589917] MSE = 0.0006017383801302286 ll= -6.193479308594899\n", "857100 [1. 0.7841727 0.25300117 0.44530805 0.22623104 0.11047841\n", " 0.15562194 0.09336056 0.59473862 0.37883781 0.40585181] MSE = 0.0005988920521197501 ll= -10.68093928133788\n", "857200 [1. 0.78419788 0.25308832 0.44537277 0.22632132 0.11051219\n", " 0.15567612 0.0933625 0.5947579 0.37886944 0.40588963] MSE = 0.0005991178616815959 ll= -3.7964050224292443\n", "857300 [1. 0.78422305 0.25317545 0.44543747 0.22641157 0.11051097\n", " 0.15566496 0.09335161 0.59478768 0.3789349 0.40595894] MSE = 0.0006014205525499122 ll= -5.501860983267273\n", "857400 [1. 0.78424822 0.25326257 0.44549283 0.22650181 0.1105424\n", " 0.15565263 0.09334772 0.59481045 0.37894669 0.40596874] MSE = 0.000600253305123079 ll= -7.530146104777826\n", "857500 [1. 0.78427338 0.25334966 0.44555517 0.22659202 0.11064614\n", " 0.15569046 0.09344763 0.59484605 0.37895498 0.40596454] MSE = 0.0005990497224792515 ll= -5.498501960496917\n", "857600 [1. 0.78429854 0.25343673 0.44561983 0.22668222 0.11074985\n", " 0.15568513 0.09355335 0.5948723 0.37899942 0.40600816] MSE = 0.000600396492033931 ll= -5.249732204903802\n", "857700 [1. 0.78432369 0.25352379 0.44568447 0.22677239 0.11083839\n", " 0.15567631 0.09362757 0.59488223 0.37904851 0.40606926] MSE = 0.0006022425264877501 ll= -9.582302283778377\n", "857800 [1. 0.78434884 0.25361082 0.44573977 0.22686254 0.11091057\n", " 0.15566049 0.09366212 0.59490031 0.37911274 0.40613734] MSE = 0.0006047698169148403 ll= -6.432965658472543\n", "857900 [1. 0.78437398 0.25369783 0.44579739 0.22695267 0.11094777\n", " 0.15568081 0.09368268 0.59493005 0.37918396 0.40620657] MSE = 0.0006077144100447968 ll= -3.068731801197792\n", "858000 [1. 0.78439911 0.25378482 0.44586199 0.22704278 0.11097447\n", " 0.15568365 0.09367176 0.59496445 0.37925399 0.40627579] MSE = 0.0006105694947876642 ll= -6.8357180833552285\n", "858100 [1. 0.78442424 0.25387179 0.44592657 0.22713287 0.1109627\n", " 0.155669 0.09366084 0.59498834 0.3793042 0.40634499] MSE = 0.0006127959537043373 ll= -4.420917968251413\n", "858200 [1. 0.78444936 0.25395875 0.44599114 0.22722293 0.11098357\n", " 0.15566368 0.09365342 0.59500524 0.37936371 0.40641417] MSE = 0.0006152892858568876 ll= -8.733769443964375\n", "858300 [1. 0.78447448 0.25404568 0.4460557 0.22731298 0.11108716\n", " 0.15569215 0.09375553 0.5950303 0.37942787 0.40648334] MSE = 0.0006185609466439845 ll= -5.361866589607153\n", "858400 [1. 0.78449959 0.25413259 0.44612024 0.22740301 0.1111849\n", " 0.15571362 0.09384248 0.5950367 0.37948969 0.40655249] MSE = 0.0006215896730701109 ll= -5.827797276122228\n", "858500 [1. 0.7845247 0.25421948 0.44618476 0.22749301 0.11122088\n", " 0.15575023 0.09385252 0.59507456 0.37952353 0.40657852] MSE = 0.0006224021142855784 ll= -7.745263829519235\n", "858600 [1. 0.7845498 0.25430635 0.44624927 0.22757018 0.1112219\n", " 0.15577985 0.09384158 0.59510425 0.37950612 0.40656144] MSE = 0.0006202114561450801 ll= -10.729155719975683\n", "858700 [1. 0.78457489 0.254314 0.44628931 0.22757745 0.11120894\n", " 0.15577918 0.09383065 0.59513277 0.37957372 0.40663056] MSE = 0.0006249060941121815 ll= -3.825893845608435\n", "858800 [1. 0.78459998 0.25428438 0.44626645 0.22755095 0.11119599\n", " 0.15578549 0.09381973 0.59517643 0.37960755 0.40664726] MSE = 0.0006277872126096806 ll= -8.372287639870363\n", "858900 [1. 0.78462506 0.25425594 0.44627736 0.22752445 0.11118305\n", " 0.15578249 0.0938088 0.59520261 0.37963437 0.40666511] MSE = 0.000630249105004199 ll= -5.5167090379675185\n", "859000 [1. 0.78465013 0.25422634 0.44627314 0.22749796 0.1111701\n", " 0.15578065 0.09379788 0.59524741 0.37965304 0.40662708] MSE = 0.0006308306166390627 ll= -9.397695981057575\n", "859100 [1. 0.7846752 0.2541979 0.44624447 0.22747148 0.11115716\n", " 0.15581839 0.09380442 0.59528056 0.37965541 0.40665774] MSE = 0.0006332638580390318 ll= -4.762722376034194\n", "859200 [1. 0.78470027 0.25417181 0.44625306 0.227445 0.11114422\n", " 0.15580026 0.0937935 0.59530904 0.37972762 0.40672681] MSE = 0.0006388324564042202 ll= -13.383410811812649\n", "859300 [1. 0.78472533 0.25419227 0.44629306 0.22745577 0.11113128\n", " 0.15578561 0.09378259 0.59534451 0.37978934 0.40679586] MSE = 0.0006433109192000522 ll= -4.356286943907925\n", "859400 [1. 0.78475038 0.25416269 0.44628418 0.2274293 0.11111835\n", " 0.15583033 0.09381357 0.59538927 0.37983242 0.40684278] MSE = 0.0006478011370940748 ll= -6.161117028043961\n", "859500 [1. 0.78477542 0.25413312 0.44626367 0.22740284 0.11110542\n", " 0.15582267 0.09380265 0.59539562 0.3798976 0.4069118 ] MSE = 0.0006530579170025249 ll= -4.440483550491283\n", "859600 [1. 0.78480047 0.25410355 0.44623269 0.22737638 0.1110925\n", " 0.15580454 0.09379174 0.5954078 0.37996393 0.4069808 ] MSE = 0.0006584406796061598 ll= -4.319780408563535\n", "859700 [1. 0.7848255 0.2541054 0.44623313 0.22737552 0.11108423\n", " 0.15581666 0.09378083 0.59544207 0.37998022 0.40698464] MSE = 0.000659729713738682 ll= -8.173124969250365\n", "859800 [1. 0.78485053 0.25419216 0.44629638 0.22746191 0.11112481\n", " 0.15584041 0.09380714 0.595474 0.37996278 0.40696638] MSE = 0.0006575757868293331 ll= -15.94481486584944\n", "859900 [1. 0.78487555 0.25418004 0.44633519 0.22743545 0.11111886\n", " 0.15582228 0.09379623 0.59550244 0.37997558 0.40698767] MSE = 0.0006595928474176641 ll= -5.061630265451926\n", "860000 [1. 0.78490057 0.25415048 0.44632167 0.227409 0.11110594\n", " 0.15583324 0.09378532 0.59554018 0.38003954 0.40705198] MSE = 0.0006650695335376562 ll= -10.542881445514034\n", "860100 [1. 0.78492326 0.25412093 0.44630814 0.22738256 0.11109302\n", " 0.15581628 0.09377442 0.59555116 0.38007442 0.4071 ] MSE = 0.000668729801135749 ll= -4.7531771416970034\n", "860200 [1. 0.78494826 0.25409138 0.4462981 0.22735612 0.11108011\n", " 0.1558156 0.09376352 0.5955354 0.38014533 0.40716893] MSE = 0.0006739834557084364 ll= -4.6670350313532865\n", "860300 [1. 0.78497326 0.25406301 0.44632527 0.22732969 0.11106719\n", " 0.15583236 0.09375262 0.59551151 0.38014066 0.4071867 ] MSE = 0.000674995545306249 ll= -4.185941731875957\n", "860400 [1. 0.78499826 0.25405672 0.44630362 0.22731954 0.11105428\n", " 0.15581425 0.09374172 0.59546786 0.38014065 0.40725561] MSE = 0.0006773362783359999 ll= -8.644183252133939\n", "860500 [1. 0.78502325 0.25414342 0.44634356 0.22740586 0.11104138\n", " 0.15581241 0.09373082 0.59546839 0.38013133 0.40726639] MSE = 0.0006759096305282402 ll= -7.070563126145438\n", "860600 [1. 0.78504823 0.25421499 0.44638117 0.22747821 0.11102847\n", " 0.15579895 0.09371993 0.59550378 0.38008716 0.40722022] MSE = 0.0006721267467179014 ll= -10.908506484572696\n", "860700 [1. 0.78500232 0.25418894 0.4463386 0.22745178 0.11101557\n", " 0.15578085 0.09370904 0.59546712 0.38004299 0.4071729 ] MSE = 0.0006686051242891567 ll= -1.5059712919558215\n", "860800 [1. 0.78495295 0.25415941 0.44630649 0.22742535 0.11100267\n", " 0.15577786 0.09369815 0.59543046 0.3800151 0.40714302] MSE = 0.0006662080241439578 ll= -7.927613045408646\n", "860900 [1. 0.78497328 0.25412988 0.44629879 0.22739893 0.11098978\n", " 0.15578532 0.09368727 0.59545307 0.38001975 0.4071573 ] MSE = 0.0006678992358260139 ll= -6.336792953695041\n", "861000 [1. 0.78496922 0.25410036 0.44628993 0.22737252 0.11097688\n", " 0.15578116 0.09367639 0.59546173 0.37997561 0.40711116] MSE = 0.0006655164323984232 ll= -7.906522608670746\n", "861100 [1. 0.78499419 0.25408014 0.44630778 0.22734611 0.110964\n", " 0.15582927 0.09366551 0.59549593 0.37993148 0.40706504] MSE = 0.0006637430414647632 ll= -6.843594291704023\n", "861200 [1. 0.78501336 0.25405063 0.44631286 0.22731971 0.11095111\n", " 0.15581814 0.09365463 0.59549414 0.37988735 0.40701777] MSE = 0.0006614969247734812 ll= -5.863730148805227\n", "861300 [1. 0.78496749 0.25402113 0.44629354 0.22729331 0.11093823\n", " 0.15580353 0.09364375 0.59546098 0.37984324 0.40697051] MSE = 0.0006580955141238456 ll= -5.430885028494163\n", "861400 [1. 0.78499245 0.25399164 0.44625798 0.22726692 0.11092535\n", " 0.15581795 0.09363288 0.59547661 0.37988157 0.40699988] MSE = 0.0006613740230689985 ll= -4.333304103872461\n", "861500 [1. 0.78501741 0.25396215 0.44628163 0.22724054 0.11091247\n", " 0.15580102 0.09362201 0.5954957 0.37995356 0.40706873] MSE = 0.0006669748083299197 ll= -4.132555081142515\n", "861600 [1. 0.78504237 0.25393268 0.44623796 0.22721416 0.11089959\n", " 0.15579803 0.09361114 0.59552873 0.38001973 0.40713523] MSE = 0.0006726108821193511 ll= -4.210946651605426\n", "861700 [1. 0.78506732 0.2539032 0.44622563 0.22718779 0.11088672\n", " 0.155802 0.09360028 0.59553969 0.38006964 0.40718663] MSE = 0.0006769537314639931 ll= -4.650621933045661\n", "861800 [1. 0.78508994 0.25387374 0.44622026 0.22716143 0.11087385\n", " 0.15585355 0.09363352 0.59553557 0.38004294 0.40715794] MSE = 0.0006761934225955812 ll= -9.972007015791794\n", "861900 [1. 0.78511488 0.25384428 0.44620214 0.22713507 0.11086099\n", " 0.1558459 0.09363309 0.59555581 0.38004874 0.4071722 ] MSE = 0.0006780406995743617 ll= -5.9152416269502375\n", "862000 [1. 0.78502611 0.25381483 0.44615037 0.22710871 0.11084813\n", " 0.15582782 0.09362223 0.59548788 0.38000464 0.40712496] MSE = 0.0006737154841078083 ll= -1.5059712919558215\n", "862100 [1. 0.78499304 0.25378538 0.44610557 0.22708237 0.11083527\n", " 0.15583063 0.09361137 0.59545476 0.37996056 0.40707773] MSE = 0.0006705577533481187 ll= -6.192975866730292\n", "862200 [1. 0.7849101 0.25376058 0.44605382 0.22705603 0.11082241\n", " 0.15581255 0.09360051 0.59538569 0.37991648 0.40703051] MSE = 0.0006663126807601781 ll= -1.5059712919558215\n", "862300 [1. 0.78482255 0.25373115 0.44600209 0.22702969 0.11080956\n", " 0.15579448 0.09358965 0.59531779 0.37987242 0.4069833 ] MSE = 0.000662116660267414 ll= -5.925422414782034\n", "862400 [1. 0.7848475 0.25370173 0.44596892 0.22700336 0.11079671\n", " 0.15583904 0.09362983 0.59534153 0.37982837 0.4069361 ] MSE = 0.0006606411038331934 ll= -4.671565494105506\n", "862500 [1. 0.78476693 0.25367231 0.44591721 0.22697704 0.11078386\n", " 0.15582096 0.09361897 0.59527713 0.37978432 0.40688891] MSE = 0.0006566191068927015 ll= -1.5059712919558215\n", "862600 [1. 0.78467594 0.2536429 0.44586551 0.22695072 0.11077101\n", " 0.1558029 0.09360812 0.59520812 0.37974029 0.40684174] MSE = 0.00065245902173913 ll= -1.5059712919558215\n", "862700 [1. 0.78459309 0.25361349 0.44581382 0.22692441 0.11075817\n", " 0.15578484 0.09359726 0.59514491 0.37969627 0.40679457] MSE = 0.0006485042224987731 ll= -6.227507141339775\n", "862800 [1. 0.78461806 0.2535841 0.44581778 0.22689811 0.11074533\n", " 0.15577489 0.09358641 0.59515011 0.37965225 0.40674742] MSE = 0.0006464976366708509 ll= -6.143109248037152\n", "862900 [1. 0.78458275 0.25355471 0.44577191 0.22687181 0.1107325\n", " 0.15577886 0.09357557 0.59512054 0.37960825 0.40670028] MSE = 0.0006435328598347501 ll= -1.5059712919558215\n", "863000 [1. 0.78449183 0.25352532 0.44572025 0.22684552 0.11071967\n", " 0.15576081 0.09356472 0.59505157 0.37956426 0.40665315] MSE = 0.0006394958180795645 ll= -1.5059712919558215\n", "863100 [1. 0.78440093 0.25349594 0.4456686 0.22681924 0.11070684\n", " 0.15574276 0.09355388 0.59498262 0.37952028 0.40660603] MSE = 0.0006355037205781932 ll= -1.5059712919558215\n", "863200 [1. 0.78432163 0.25346657 0.44561812 0.22679296 0.11069401\n", " 0.15572471 0.09354304 0.59492527 0.37947631 0.40655892] MSE = 0.0006318063815929096 ll= -6.641534974780659\n", "863300 [1. 0.78426089 0.25343721 0.4455804 0.22676668 0.11068119\n", " 0.15570667 0.09353221 0.59488184 0.37943234 0.40651182] MSE = 0.0006284649024456263 ll= -1.5059712919558215\n", "863400 [1. 0.78425345 0.25341944 0.44557049 0.22674041 0.11066837\n", " 0.15569443 0.09352369 0.59487664 0.37940114 0.40648558] MSE = 0.0006270153593582637 ll= -18.36855986812881\n", "863500 [1. 0.78427843 0.25350591 0.44562891 0.22681955 0.11069261\n", " 0.15570188 0.09353602 0.59490618 0.37946954 0.40655432] MSE = 0.0006299291517568193 ll= -5.610867998769801\n", "863600 [1. 0.78430342 0.25352171 0.44563752 0.22682224 0.11067979\n", " 0.15572322 0.09352519 0.59494383 0.37950666 0.40659294] MSE = 0.0006327580605463672 ll= -6.234645529640363\n", "863700 [1. 0.78429481 0.25349236 0.44560908 0.22679597 0.11066698\n", " 0.15570519 0.09351436 0.5949421 0.37948472 0.40656901] MSE = 0.0006318373107486318 ll= -1.5059712919558215\n", "863800 [1. 0.78423064 0.25346301 0.4455598 0.22676971 0.11065416\n", " 0.15568716 0.09350353 0.59489059 0.37945004 0.40653236] MSE = 0.0006290314851259319 ll= -5.5078784518338715\n", "863900 [1. 0.78425561 0.25343367 0.44555453 0.22674346 0.11064135\n", " 0.15568303 0.09349271 0.59491433 0.37947557 0.40657097] MSE = 0.000632223098523115 ll= -5.98181221068063\n", "864000 [1. 0.78428059 0.25340433 0.44554694 0.22671721 0.11062854\n", " 0.15571478 0.09352124 0.59493344 0.37943743 0.4065239 ] MSE = 0.0006308188909365628 ll= -6.292023052301125\n", "864100 [1. 0.78430093 0.25337963 0.44555903 0.22669097 0.11061574\n", " 0.15572917 0.09351042 0.59493981 0.37939699 0.40647685] MSE = 0.0006288846251543199 ll= -5.385255148119033\n", "864200 [1. 0.78432589 0.25335031 0.44555838 0.22666474 0.11060294\n", " 0.15571462 0.09349959 0.59496355 0.37943178 0.40652008] MSE = 0.0006324885950459564 ll= -7.113150134944899\n", "864300 [1. 0.78435084 0.25332099 0.4455589 0.22663851 0.11059014\n", " 0.1556966 0.09348878 0.5949919 0.37941796 0.40650891] MSE = 0.000632885153499779 ll= -5.667185337212821\n", "864400 [1. 0.7843353 0.25333912 0.44557214 0.22661576 0.11058313\n", " 0.15567858 0.09347796 0.59498554 0.37937522 0.40646188] MSE = 0.000629748141007108 ll= -1.5059712919558215\n", "864500 [1. 0.78430472 0.25330981 0.44552869 0.22658954 0.11057034\n", " 0.15566404 0.09346714 0.59495257 0.37933711 0.40641485] MSE = 0.0006270918018445491 ll= -6.399686455263989\n", "864600 [1. 0.78432967 0.25328051 0.44548062 0.22656333 0.11055755\n", " 0.15568305 0.09345633 0.59499479 0.37937999 0.40645228] MSE = 0.0006311093355934098 ll= -8.33243243805782\n", "864700 [1. 0.78435461 0.25325121 0.44550775 0.22653713 0.11054476\n", " 0.15568702 0.09344552 0.59500925 0.37942401 0.40650243] MSE = 0.0006350744310185934 ll= -4.53466800887389\n", "864800 [1. 0.78437955 0.25322193 0.4455314 0.22651093 0.11053198\n", " 0.1556829 0.09343472 0.59505262 0.37939054 0.40647161] MSE = 0.0006343606233970781 ll= -4.377830847906695\n", "864900 [1. 0.78440449 0.25319265 0.44554232 0.22648474 0.1105192\n", " 0.15572618 0.09342391 0.59509366 0.37942183 0.40649746] MSE = 0.0006375236724930912 ll= -7.633582382611403\n", "865000 [1. 0.78442941 0.25316684 0.44554399 0.22645855 0.11050642\n", " 0.15571511 0.09341311 0.59513932 0.37938952 0.40645046] MSE = 0.0006363600080617071 ll= -9.433144172516592\n", "865100 [1. 0.78445434 0.25325318 0.44560694 0.22654798 0.11049827\n", " 0.15573873 0.09340347 0.59517457 0.37934566 0.40640347] MSE = 0.000631927407240469 ll= -5.440108334768955\n", "865200 [1. 0.78447925 0.2533395 0.44567102 0.22663738 0.11050283\n", " 0.15574962 0.09339498 0.59520171 0.37930181 0.40635649] MSE = 0.0006274284013507436 ll= -5.336037480836144\n", "865300 [1. 0.78450416 0.2534258 0.44573278 0.22672677 0.11052242\n", " 0.15576052 0.09338419 0.59518493 0.37925798 0.40631299] MSE = 0.0006225922849831442 ll= -5.4402677135646265\n", "865400 [1. 0.78452907 0.25351208 0.4457899 0.22681613 0.11052814\n", " 0.1557795 0.09339073 0.59520398 0.37927886 0.40633653] MSE = 0.0006224065962761623 ll= -5.541325099911428\n", "865500 [1. 0.78455396 0.25359834 0.44585163 0.22690548 0.11053963\n", " 0.15578692 0.09338341 0.59521955 0.37930668 0.40636584] MSE = 0.0006225345756629898 ll= -6.887746967324521\n", "865600 [1. 0.78457886 0.25368458 0.44591334 0.22699133 0.11053148\n", " 0.15582322 0.09337493 0.59524783 0.37927441 0.40631889] MSE = 0.0006186513936303735 ll= -10.757563098885958\n", "865700 [1. 0.78460374 0.2537061 0.44593923 0.22698937 0.11053373\n", " 0.15582486 0.09336414 0.59528073 0.37923059 0.40627195] MSE = 0.0006161629496831016 ll= -5.643935012080309\n", "865800 [1. 0.78460668 0.25367679 0.44590389 0.22696315 0.11052097\n", " 0.15581033 0.09335336 0.59526626 0.37923068 0.40627123] MSE = 0.0006166538302829006 ll= -5.820157340381178\n", "865900 [1. 0.78463155 0.25374451 0.44596212 0.2270328 0.11050936\n", " 0.15583738 0.09334257 0.5952772 0.37928736 0.4063398 ] MSE = 0.0006194037177603918 ll= -10.865018465657197\n", "866000 [1. 0.78465643 0.2538307 0.4460261 0.22712207 0.11053008\n", " 0.15583901 0.09333179 0.59529738 0.37935674 0.40640836] MSE = 0.000622181035683303 ll= -4.448989782351746\n", "866100 [1. 0.78468129 0.25391686 0.44609007 0.22721132 0.11051732\n", " 0.15584411 0.09332102 0.59531755 0.37942494 0.40647691] MSE = 0.0006250351137149363 ll= -5.164259357066486\n", "866200 [1. 0.78470615 0.254003 0.44615287 0.22730054 0.11051149\n", " 0.15582612 0.09331024 0.59533541 0.37948389 0.40654543] MSE = 0.0006276094517964665 ll= -7.048606002886462\n", "866300 [1. 0.78473101 0.25408912 0.44621681 0.22738975 0.11052413\n", " 0.15581621 0.09329947 0.59537174 0.37954629 0.40661395] MSE = 0.0006305340263901926 ll= -8.111481121120876\n", "866400 [1. 0.78475586 0.25417523 0.44628073 0.22747893 0.11051137\n", " 0.15579822 0.0932887 0.59538382 0.37960983 0.40668244] MSE = 0.0006333053529023868 ll= -9.462530709794901\n", "866500 [1. 0.7847807 0.25415628 0.44630078 0.2274596 0.11049861\n", " 0.15579986 0.09327793 0.5953855 0.37958564 0.40665628] MSE = 0.0006323589900879781 ll= -6.37621488630721\n", "866600 [1. 0.78480554 0.25416157 0.44631737 0.22746451 0.11048586\n", " 0.15578534 0.09326717 0.5954172 0.37956838 0.40665205] MSE = 0.0006322055158379009 ll= -8.051468852059793\n", "866700 [1. 0.78483037 0.25415186 0.44633626 0.22744634 0.11047311\n", " 0.15576737 0.0932564 0.5954535 0.37963536 0.40672052] MSE = 0.0006374548990928939 ll= -4.965911397993517\n", "866800 [1. 0.7848552 0.25412253 0.44633322 0.2274201 0.11046037\n", " 0.15575055 0.09324564 0.59547248 0.37963655 0.40673705] MSE = 0.0006390986723581607 ll= -7.081517780695798\n", "866900 [1. 0.78488002 0.25409668 0.44633249 0.22739386 0.11044762\n", " 0.15575219 0.09323489 0.59551223 0.3796066 0.40669012] MSE = 0.0006378884396064928 ll= -7.531140742712588\n", "867000 [1. 0.78490483 0.2541585 0.4463779 0.22745299 0.11043488\n", " 0.15575153 0.09322413 0.59554158 0.37960895 0.40666974] MSE = 0.0006366424955749055 ll= -8.83840975758146\n", "867100 [1. 0.78492964 0.25424452 0.44644175 0.2275421 0.11043483\n", " 0.15575317 0.09321338 0.59556517 0.37960438 0.40666205] MSE = 0.0006350083849508219 ll= -9.841230743101676\n", "867200 [1. 0.78495445 0.25429478 0.44646984 0.22758967 0.11045439\n", " 0.1557479 0.09320263 0.59559105 0.37960097 0.40664283] MSE = 0.0006338245323878561 ll= -5.004801028709766\n", "867300 [1. 0.78497924 0.25426891 0.44645641 0.22756342 0.11044165\n", " 0.15574377 0.09319188 0.59561808 0.37964022 0.40666628] MSE = 0.0006369223208627498 ll= -11.406645782822915\n", "867400 [1. 0.78500404 0.25426957 0.44645682 0.22754987 0.11044275\n", " 0.15576041 0.09319382 0.59563934 0.37970944 0.40673469] MSE = 0.0006420288145242569 ll= -7.249624584159352\n", "867500 [1. 0.78502882 0.25424026 0.44643878 0.22752363 0.11043002\n", " 0.15579433 0.09319115 0.5956433 0.37972331 0.40676966] MSE = 0.0006446107384550527 ll= -6.95339572111969\n", "867600 [1. 0.7850536 0.25421556 0.44645418 0.22749741 0.11041729\n", " 0.15577637 0.0931804 0.59562882 0.37969107 0.40676542] MSE = 0.0006440875431512583 ll= -5.346597971521811\n", "867700 [1. 0.78505071 0.25418626 0.44644537 0.22747118 0.11040456\n", " 0.15576418 0.09316966 0.59561203 0.3796473 0.40673352] MSE = 0.0006419809650549102 ll= -1.5059712919558215\n", "867800 [1. 0.78507549 0.25415697 0.44643771 0.22744497 0.11039184\n", " 0.15577619 0.09316469 0.59563444 0.37971534 0.40680189] MSE = 0.0006475131553969325 ll= -6.982818151825123\n", "867900 [1. 0.78510025 0.25412768 0.44643697 0.22741876 0.11037912\n", " 0.15577091 0.09315395 0.59564992 0.37973496 0.4068207 ] MSE = 0.000649785279736485 ll= -4.770384832936319\n", "868000 [1. 0.78512501 0.2540984 0.44641318 0.22739256 0.1103664\n", " 0.15575297 0.09314322 0.59568038 0.37971425 0.40679917] MSE = 0.0006496586920568123 ll= -4.928168192037891\n", "868100 [1. 0.78505069 0.25406912 0.44636175 0.22736636 0.11035369\n", " 0.15573502 0.09313249 0.59561982 0.37967051 0.4067523 ] MSE = 0.0006456493165665018 ll= -5.322943699397112\n", "868200 [1. 0.78507545 0.25403986 0.44633683 0.22734017 0.11034097\n", " 0.15575395 0.09312406 0.59564681 0.37966133 0.4067331 ] MSE = 0.0006459710028423488 ll= -5.630816543031356\n", "868300 [1. 0.78510021 0.2540106 0.44632804 0.22731398 0.11032827\n", " 0.15574983 0.09311334 0.59567957 0.37973278 0.40680143] MSE = 0.0006517140631066627 ll= -5.118736342379565\n", "868400 [1. 0.78512496 0.25398134 0.44631694 0.2272878 0.11031556\n", " 0.15574801 0.09310261 0.59570886 0.37973166 0.4068064 ] MSE = 0.0006530897963575981 ll= -9.090690798894462\n", "868500 [1. 0.7851497 0.2539521 0.44630009 0.22726163 0.11030286\n", " 0.15576462 0.09310226 0.59570244 0.37979387 0.40687471] MSE = 0.0006581860368217319 ll= -6.9729765644609705\n", "868600 [1. 0.78517444 0.25392286 0.44629706 0.22723546 0.11029016\n", " 0.15575245 0.09309154 0.59573287 0.3797985 0.40687507] MSE = 0.0006595819387814522 ll= -6.3612905490345995\n", "868700 [1. 0.78519917 0.25390744 0.44630094 0.2272093 0.11028091\n", " 0.15575063 0.09308082 0.59574488 0.37986185 0.40694336] MSE = 0.0006647184621253041 ll= -9.267498105744156\n", "868800 [1. 0.7852239 0.25387821 0.44629792 0.22718315 0.11026822\n", " 0.15573846 0.0930701 0.59577184 0.37988719 0.40696788] MSE = 0.0006675456651861402 ll= -9.339566139486523\n", "868900 [1. 0.78523941 0.25385014 0.44629604 0.227157 0.11025552\n", " 0.15572629 0.09305939 0.5957965 0.37984346 0.40692104] MSE = 0.0006656601465976644 ll= -1.5059712919558215\n", "869000 [1. 0.78524801 0.25382092 0.44631373 0.22713086 0.11024284\n", " 0.15570837 0.09304868 0.59580159 0.37979975 0.40687421] MSE = 0.0006634409860416254 ll= -5.338062402993789\n", "869100 [1. 0.78526582 0.25379632 0.44629574 0.22710587 0.11023015\n", " 0.15569735 0.09303797 0.59581013 0.37983659 0.40691139] MSE = 0.0006667027371510178 ll= -4.052016737573221\n", "869200 [1. 0.78529053 0.25376712 0.44628466 0.22707974 0.11021747\n", " 0.15572546 0.09302727 0.59583017 0.37988609 0.40697618] MSE = 0.0006716349031070537 ll= -6.0823416005337085\n", "869300 [1. 0.78531523 0.25373792 0.44628969 0.22705361 0.11020479\n", " 0.155711 0.09301657 0.59587322 0.37991141 0.40698458] MSE = 0.0006741207109919058 ll= -4.716111238679365\n", "869400 [1. 0.78533993 0.25378005 0.44629127 0.22707466 0.11020821\n", " 0.15572415 0.09300587 0.59590245 0.37986771 0.40693777] MSE = 0.0006711552408028833 ll= -5.6835227796602705\n", "869500 [1. 0.78529791 0.25375086 0.44624224 0.22704854 0.11019554\n", " 0.15570623 0.09299517 0.59586151 0.37983552 0.40689096] MSE = 0.0006681389206636729 ll= -1.5059712919558215\n", "869600 [1. 0.78522944 0.25372168 0.44619091 0.22702243 0.11018286\n", " 0.15568833 0.09298447 0.59580679 0.37979183 0.40684416] MSE = 0.0006642787451632058 ll= -1.5059712919558215\n", "869700 [1. 0.78515869 0.2536925 0.4461396 0.22699632 0.11017019\n", " 0.15567042 0.09297378 0.59575437 0.37974816 0.40679738] MSE = 0.0006604497434545082 ll= -1.5059712919558215\n", "869800 [1. 0.7851351 0.25366333 0.44610095 0.22697022 0.11015753\n", " 0.15565482 0.09296309 0.59574336 0.37973209 0.40678625] MSE = 0.0006597891926861507 ll= -3.831564165159183\n", "869900 [1. 0.78515981 0.25363417 0.44605771 0.22694413 0.11014486\n", " 0.15568407 0.09296965 0.59575994 0.37979536 0.40685445] MSE = 0.0006653074344833021 ll= -4.599539670284896\n", "870000 [1. 0.7851845 0.25360501 0.44607426 0.22691804 0.1101322\n", " 0.15568686 0.09295896 0.59580182 0.37986665 0.40692263] MSE = 0.0006712153838639385 ll= -5.89608131455271\n", "870100 [1. 0.7852092 0.25357586 0.44610345 0.22689195 0.11011954\n", " 0.15566897 0.09294828 0.59583333 0.37993103 0.4069908 ] MSE = 0.0006767706919408095 ll= -6.2056179227201005\n", "870200 [1. 0.785204 0.25354672 0.44608206 0.22686588 0.11010688\n", " 0.15565107 0.09293759 0.59582002 0.37995288 0.40701643] MSE = 0.0006787216025360276 ll= -1.5059712919558215\n", "870300 [1. 0.78521949 0.25351758 0.44605838 0.22683981 0.11009423\n", " 0.15568605 0.09292691 0.59583774 0.37997012 0.40702712] MSE = 0.0006807305072519008 ll= -7.180462132444871\n", "870400 [1. 0.78522693 0.25348845 0.44602551 0.22681374 0.11008158\n", " 0.15571297 0.09292888 0.5958612 0.3799391 0.40699184] MSE = 0.0006796925871377624 ll= -1.5059712919558215\n", "870500 [1. 0.78520795 0.25345933 0.4459892 0.22678768 0.11006893\n", " 0.15569508 0.0929182 0.59583984 0.37989545 0.40694508] MSE = 0.0006769096468039514 ll= -1.5059712919558215\n", "870600 [1. 0.78521654 0.25343021 0.44600345 0.22676163 0.11005629\n", " 0.15568754 0.09290752 0.59586445 0.37990465 0.40695003] MSE = 0.0006783644666353999 ll= -5.341948789917014\n", "870700 [1. 0.78524121 0.2534011 0.44600505 0.22673558 0.11004365\n", " 0.15569148 0.09289685 0.59589019 0.37989662 0.40693889] MSE = 0.0006790104286082051 ll= -6.326434238870413\n", "870800 [1. 0.78519697 0.25338234 0.44598943 0.22671758 0.11003101\n", " 0.1556736 0.09288618 0.59585736 0.37985873 0.40689216] MSE = 0.0006756956995464815 ll= -1.5059712919558215\n", "870900 [1. 0.78518833 0.25335324 0.44596004 0.22669155 0.11001837\n", " 0.15566835 0.09287552 0.59586243 0.37981511 0.40684543] MSE = 0.0006734065761236027 ll= -6.400732067670455\n", "871000 [1. 0.785213 0.25332415 0.44597543 0.22666552 0.11000574\n", " 0.15566655 0.09286485 0.59587323 0.37977839 0.40679871] MSE = 0.0006717671341981814 ll= -6.468287839362698\n", "871100 [1. 0.78512629 0.25329506 0.44592423 0.22663949 0.10999311\n", " 0.15564868 0.09285419 0.59580482 0.37973479 0.40675201] MSE = 0.0006676098659651933 ll= -1.5059712919558215\n", "871200 [1. 0.78505568 0.25326599 0.44587303 0.22661348 0.10998048\n", " 0.15563081 0.09284353 0.59573987 0.3796912 0.40670532] MSE = 0.0006637452847430619 ll= -4.315959424555606\n", "871300 [1. 0.78508035 0.25323691 0.44588843 0.22658747 0.10996786\n", " 0.1556382 0.09283287 0.59576446 0.37972796 0.40674242] MSE = 0.0006673482592320205 ll= -6.901433491314319\n", "871400 [1. 0.78507403 0.25320785 0.4458407 0.22656146 0.10995524\n", " 0.15563067 0.09282222 0.59576265 0.37970389 0.40671181] MSE = 0.0006662292700744307 ll= -1.5059712919558215\n", "871500 [1. 0.78498393 0.25317879 0.44578953 0.22653546 0.10994262\n", " 0.15561281 0.09281157 0.59569429 0.37966032 0.40666514] MSE = 0.0006621135232005146 ll= -1.5059712919558215\n", "871600 [1. 0.78500402 0.25314974 0.4457774 0.22650947 0.10993001\n", " 0.15561216 0.09280092 0.59570625 0.3796638 0.40668273] MSE = 0.0006638975556968626 ll= -6.298699380237963\n", "871700 [1. 0.78502868 0.2531207 0.44574575 0.22648348 0.10991739\n", " 0.15560922 0.09280404 0.59573772 0.37973497 0.4067508 ] MSE = 0.0006698120195751666 ll= -8.427451000677104\n", "871800 [1. 0.78505334 0.25309166 0.44572674 0.2264575 0.10990478\n", " 0.15564988 0.09280831 0.59575886 0.37980498 0.40681886] MSE = 0.00067560534588134 ll= -8.063779520104228\n", "871900 [1. 0.78507112 0.25306263 0.445741 0.22643152 0.10989218\n", " 0.15564694 0.09279766 0.59578688 0.37979927 0.40681922] MSE = 0.0006766422191451886 ll= -1.5059712919558215\n", "872000 [1. 0.78498337 0.2530336 0.44568987 0.22640555 0.10987957\n", " 0.15562909 0.09278702 0.59571855 0.37975571 0.40677257] MSE = 0.0006725628820026309 ll= -1.5059712919558215\n", "872100 [1. 0.7848945 0.25300459 0.44563876 0.22637959 0.10986697\n", " 0.15561124 0.09277638 0.59565023 0.37971216 0.40672592] MSE = 0.00066851226521968 ll= -1.5059712919558215\n", "872200 [1. 0.78480449 0.25297558 0.44558766 0.22635363 0.10985437\n", " 0.1555934 0.09276574 0.59558193 0.37966862 0.40667928] MSE = 0.0006644909556722351 ll= -1.5059712919558215\n", "872300 [1. 0.78471452 0.25294657 0.44553657 0.22632768 0.10984178\n", " 0.15557556 0.0927551 0.59551364 0.37962509 0.40663265] MSE = 0.0006605136588893239 ll= -1.5059712919558215\n", "872400 [1. 0.78473461 0.25291757 0.44553938 0.22630173 0.10982919\n", " 0.15557262 0.09274447 0.59551874 0.37966411 0.40667775] MSE = 0.0006641870150507198 ll= -5.959719350412309\n", "872500 [1. 0.78475928 0.25288858 0.44553989 0.22627579 0.1098166\n", " 0.15559033 0.09274301 0.59554562 0.37971573 0.406732 ] MSE = 0.0006689170581682981 ll= -5.544093282380588\n", "872600 [1. 0.78473123 0.2528596 0.44550487 0.22624986 0.10980401\n", " 0.15557822 0.09273238 0.59551289 0.37968023 0.40671289] MSE = 0.000667255801230694 ll= -6.865021418768972\n", "872700 [1. 0.7847559 0.25289021 0.44551455 0.22627321 0.10982122\n", " 0.15561311 0.09272748 0.59551914 0.37967568 0.40673046] MSE = 0.0006673553450533708 ll= -7.158556578164376\n", "872800 [1. 0.78478057 0.25297582 0.44556892 0.22636187 0.10992094\n", " 0.15559528 0.09279936 0.59552653 0.37963676 0.40669875] MSE = 0.0006631134621688765 ll= -5.986391573704173\n", "872900 [1. 0.78480522 0.25306141 0.44561526 0.2264505 0.1099324\n", " 0.1556313 0.09279675 0.59551558 0.37969065 0.40676673] MSE = 0.0006649772418518826 ll= -9.49867781822938\n", "873000 [1. 0.78482988 0.25314698 0.44567877 0.22653912 0.10993355\n", " 0.15563524 0.09278612 0.59552641 0.37970443 0.40679803] MSE = 0.0006646169456840016 ll= -9.48068463167211\n", "873100 [1. 0.78485452 0.25323253 0.44571363 0.22662772 0.10993356\n", " 0.15565292 0.09277549 0.59553952 0.37976403 0.40686598] MSE = 0.0006670474003788076 ll= -10.225060152668046\n", "873200 [1. 0.78487917 0.25331806 0.44575535 0.2267163 0.10992097\n", " 0.15564884 0.09276486 0.59552972 0.37982018 0.40693391] MSE = 0.0006691544925144679 ll= -4.848273332496405\n", "873300 [1. 0.7849038 0.25340357 0.44581883 0.22680486 0.10990838\n", " 0.15563559 0.09275424 0.59554054 0.37986372 0.40699267] MSE = 0.0006707926307867444 ll= -5.156988305027296\n", "873400 [1. 0.78492843 0.25348906 0.44588229 0.22689339 0.10992786\n", " 0.15561892 0.09277224 0.5955651 0.37992099 0.40706057] MSE = 0.0006733652652054503 ll= -8.113024750804868\n", "873500 [1. 0.78495306 0.25357454 0.44594573 0.22698191 0.11002748\n", " 0.15564919 0.09287039 0.59557133 0.37993016 0.40706664] MSE = 0.0006722335941420519 ll= -8.555134593590669\n", "873600 [1. 0.78497768 0.25365999 0.44600916 0.22707041 0.11004465\n", " 0.15563709 0.09288266 0.59557871 0.37988666 0.40702003] MSE = 0.0006676639047392384 ll= -10.885837947162873\n", "873700 [1. 0.78500229 0.25374542 0.44606685 0.22715545 0.11003205\n", " 0.1556582 0.09287202 0.59558837 0.37984318 0.40697344] MSE = 0.0006632505338549397 ll= -9.030333394497458\n", "873800 [1. 0.7850269 0.25383083 0.44613025 0.22724391 0.11002289\n", " 0.15567014 0.09286139 0.59561749 0.37983175 0.40696005] MSE = 0.0006611639477228557 ll= -8.264150418179332\n", "873900 [1. 0.7850515 0.25391623 0.44617647 0.22733234 0.11002976\n", " 0.15567178 0.09285306 0.59562943 0.37979973 0.4069295 ] MSE = 0.0006576880779667402 ll= -5.923965536745762\n", "874000 [1. 0.7850761 0.25392722 0.44620208 0.22734066 0.11001716\n", " 0.15569402 0.09284243 0.59563909 0.3798089 0.40691727] MSE = 0.000657766132910821 ll= -5.2328016976058525\n", "874100 [1. 0.78509725 0.25389817 0.44621281 0.22731465 0.11000458\n", " 0.1556762 0.09283181 0.59566362 0.37979176 0.40688787] MSE = 0.0006573425546622747 ll= -1.5059712919558215\n", "874200 [1. 0.78501888 0.25386912 0.44616177 0.22728864 0.10999199\n", " 0.15565839 0.09282119 0.59559547 0.37974831 0.40684132] MSE = 0.000653253242753497 ll= -1.5059712919558215\n", "874300 [1. 0.78500458 0.25384466 0.44613361 0.22726264 0.10997941\n", " 0.15564059 0.09281057 0.59557996 0.3797186 0.40680279] MSE = 0.0006512334903867238 ll= -3.986175498807083\n", "874400 [1. 0.78502917 0.25381562 0.44611689 0.22723665 0.10996683\n", " 0.15566167 0.09279995 0.59562278 0.37978726 0.40687064] MSE = 0.0006570690960821756 ll= -9.06051293655318\n", "874500 [1. 0.78505375 0.25378774 0.44613678 0.22721066 0.10995425\n", " 0.15567704 0.09278934 0.59565645 0.37985704 0.40693847] MSE = 0.0006627794430956697 ll= -4.534674826479842\n", "874600 [1. 0.78507833 0.25375872 0.4461498 0.22718468 0.10994168\n", " 0.15568096 0.09277873 0.59568668 0.37987421 0.40695941] MSE = 0.0006652680540992627 ll= -5.765647541685731\n", "874700 [1. 0.78504231 0.25372971 0.44611251 0.2271587 0.10992911\n", " 0.15568031 0.09276927 0.5956643 0.37983078 0.40691287] MSE = 0.0006622713289819503 ll= -1.5059712919558215\n", "874800 [1. 0.78495256 0.2537007 0.44606151 0.22713273 0.10991654\n", " 0.15566251 0.09275866 0.5955962 0.37978736 0.40686635] MSE = 0.0006580719341596117 ll= -1.5059712919558215\n", "874900 [1. 0.78493256 0.2536717 0.44604595 0.22710677 0.10990398\n", " 0.15564586 0.09274806 0.59558413 0.37974394 0.40682099] MSE = 0.0006554241291008359 ll= -5.202109210134121\n", "875000 [1. 0.78490456 0.2536427 0.44600411 0.22708081 0.10989142\n", " 0.15564407 0.09273746 0.59556178 0.37970054 0.40677449] MSE = 0.000652593327766468 ll= -5.7069273409359536\n", "875100 [1. 0.78483429 0.25361371 0.44596686 0.22705486 0.10987886\n", " 0.15562629 0.09272686 0.59549714 0.37965714 0.406728 ] MSE = 0.0006487379566530594 ll= -1.5059712919558215\n", "875200 [1. 0.78481659 0.25358473 0.44595475 0.22702891 0.1098663\n", " 0.15562907 0.09271626 0.59548737 0.37961947 0.40669181] MSE = 0.000646682861850286 ll= -1.5059712919558215\n", "875300 [1. 0.78472692 0.25355576 0.44590379 0.22700297 0.10985375\n", " 0.15561129 0.09270567 0.59541933 0.3795761 0.40664534] MSE = 0.000642626815271431 ll= -1.5059712919558215\n", "875400 [1. 0.78471952 0.25352679 0.44591454 0.22697704 0.1098412\n", " 0.15560379 0.09269508 0.59541643 0.37953273 0.40659888] MSE = 0.0006402305620155866 ll= -6.3561373864586175\n", "875500 [1. 0.78474412 0.25353438 0.44590587 0.22695339 0.10982865\n", " 0.1555883 0.09268449 0.59544551 0.37948938 0.40655243] MSE = 0.000638184620414826 ll= -5.9328561471644345\n", "875600 [1. 0.78467162 0.25350543 0.44585494 0.22692747 0.10981611\n", " 0.15557053 0.0926739 0.59538435 0.37944603 0.406506 ] MSE = 0.000634474883360344 ll= -1.5059712919558215\n", "875700 [1. 0.78460713 0.25347647 0.44580973 0.22690155 0.10980356\n", " 0.15555276 0.09266332 0.59532321 0.3794027 0.40645957] MSE = 0.0006308849936738151 ll= -1.5059712919558215\n", "875800 [1. 0.78461802 0.25344753 0.44581249 0.22687564 0.10979102\n", " 0.15553843 0.09265273 0.59533744 0.37937193 0.40641886] MSE = 0.000629522219764209 ll= -4.789262210291785\n", "875900 [1. 0.78460151 0.25341859 0.44580269 0.22684974 0.10977849\n", " 0.15553094 0.09264216 0.59531172 0.37932861 0.40637246] MSE = 0.0006268665071486097 ll= -7.17391814700583\n", "876000 [1. 0.7846261 0.25339765 0.44580089 0.22682384 0.10976596\n", " 0.15556114 0.09263843 0.59531568 0.37929672 0.40634319] MSE = 0.000625881174184287 ll= -5.136410105178895\n", "876100 [1. 0.78465068 0.25336872 0.44578995 0.22679795 0.10975342\n", " 0.15554795 0.09262785 0.59530365 0.37933562 0.40638927] MSE = 0.0006293672398865737 ll= -8.160004780998738\n", "876200 [1. 0.78467527 0.2533398 0.44578929 0.22677206 0.1097409\n", " 0.15555188 0.09261728 0.59527109 0.37937108 0.40645018] MSE = 0.0006330187994075556 ll= -6.189278108585094\n", "876300 [1. 0.78469642 0.25331089 0.44575782 0.22674618 0.10972837\n", " 0.15555124 0.09260671 0.59527962 0.3793312 0.40640379] MSE = 0.0006313712492543387 ll= -1.5059712919558215\n", "876400 [1. 0.78470501 0.25328198 0.44573091 0.2267203 0.10971585\n", " 0.15555403 0.09259614 0.59529271 0.37928792 0.40635741] MSE = 0.0006295249336100719 ll= -6.404382137095056\n", "876500 [1. 0.78465997 0.25325308 0.44570173 0.22669443 0.10970333\n", " 0.15553628 0.09258558 0.59525217 0.37924464 0.40631105] MSE = 0.000626434130188976 ll= -4.823518274113328\n", "876600 [1. 0.78468454 0.25322419 0.44572162 0.22666857 0.10969082\n", " 0.15551854 0.09257501 0.59528237 0.37920137 0.40626469] MSE = 0.0006248662477784141 ll= -6.072724089474156\n", "876700 [1. 0.78466005 0.2531953 0.44569815 0.22664271 0.1096783\n", " 0.15551677 0.09256445 0.59525439 0.37915811 0.40622177] MSE = 0.0006223005315913072 ll= -5.707761990714097\n", "876800 [1. 0.78463899 0.25316642 0.44566442 0.22661686 0.10966579\n", " 0.15551842 0.0925539 0.5952401 0.37911486 0.4061914 ] MSE = 0.0006203806742667241 ll= -5.160861137320815\n", "876900 [1. 0.78461679 0.25313755 0.44561702 0.22659101 0.10965328\n", " 0.15550639 0.09254334 0.5952281 0.37908075 0.40614507] MSE = 0.0006182553353191278 ll= -7.142770459606826\n", "877000 [1. 0.78461056 0.25310868 0.44559471 0.22656517 0.10964078\n", " 0.15549778 0.09253279 0.5952218 0.3790455 0.40611358] MSE = 0.0006167850342239724 ll= -6.559652071527689\n", "877100 [1. 0.78463512 0.25309236 0.44562828 0.22653934 0.10962828\n", " 0.15553592 0.09252223 0.5952577 0.37905131 0.40612543] MSE = 0.0006184775667583727 ll= -8.389572328405324\n", "877200 [1. 0.78464257 0.2530635 0.44565158 0.22651351 0.10961578\n", " 0.15556949 0.09251397 0.59525254 0.37907536 0.40615665] MSE = 0.00062086746706633 ll= -1.5059712919558215\n", "877300 [1. 0.78455768 0.25303466 0.44560078 0.22648769 0.10960328\n", " 0.15555176 0.09250342 0.59518468 0.37903215 0.40611035] MSE = 0.0006171380941072716 ll= -1.5059712919558215\n", "877400 [1. 0.78447737 0.25300581 0.44554998 0.22646187 0.10959079\n", " 0.15553402 0.09249288 0.59511798 0.37898894 0.40606406] MSE = 0.0006135166780170283 ll= -1.5059712919558215\n", "877500 [1. 0.78448028 0.25304992 0.44558468 0.22647481 0.1095897\n", " 0.1555163 0.09248233 0.59512537 0.37896512 0.40604627] MSE = 0.0006115332719181693 ll= -4.431088396816536\n", "877600 [1. 0.78450484 0.25313504 0.44564558 0.22654815 0.10961026\n", " 0.15550427 0.09247179 0.59515442 0.37901994 0.40611396] MSE = 0.0006137583900918005 ll= -9.745251556890269\n", "877700 [1. 0.7845294 0.25322015 0.44570761 0.22663628 0.10963081\n", " 0.15553555 0.09248633 0.59517434 0.37908045 0.40618163] MSE = 0.0006160147016241348 ll= -5.1362672454922045\n", "877800 [1. 0.78455395 0.25330523 0.44577076 0.22672439 0.10973225\n", " 0.15553948 0.09258972 0.59516236 0.37915119 0.40624929] MSE = 0.0006182052704303376 ll= -3.0229203184573232\n", "877900 [1. 0.78457849 0.25334814 0.44580542 0.22676692 0.1097414\n", " 0.15553771 0.09259626 0.59520392 0.37919344 0.40629073] MSE = 0.0006204714100980653 ll= -4.402689757908583\n", "878000 [1. 0.78460303 0.25331928 0.44580134 0.22674109 0.1097289\n", " 0.15558378 0.09258572 0.59523066 0.37918442 0.40627976] MSE = 0.000621120946074088 ll= -5.294949512193098\n", "878100 [1. 0.78462756 0.25329043 0.44579043 0.22671526 0.1097164\n", " 0.15557403 0.09257517 0.59525854 0.37925399 0.40634738] MSE = 0.0006266510038952663 ll= -7.894968596926462\n", "878200 [1. 0.78465209 0.25326728 0.44581141 0.22668944 0.10970391\n", " 0.15557112 0.09256463 0.59529439 0.37932354 0.40641499] MSE = 0.0006321554220233316 ll= -10.60703169752757\n", "878300 [1. 0.78467661 0.25323844 0.44582441 0.22666363 0.10969141\n", " 0.15559781 0.0925632 0.59530859 0.3793908 0.40648258] MSE = 0.0006375088014833796 ll= -11.898014729946123\n", "878400 [1. 0.78470113 0.25320961 0.44581692 0.22663782 0.10967893\n", " 0.15563816 0.09258226 0.59533531 0.37945577 0.40653763] MSE = 0.0006426428871144823 ll= -8.760462831846064\n", "878500 [1. 0.78472564 0.25318078 0.44581626 0.22661202 0.10966644\n", " 0.15563866 0.09258083 0.59537796 0.37944217 0.40649135] MSE = 0.0006421530828889922 ll= -10.748084757862205\n", "878600 [1. 0.78473648 0.25315196 0.44577917 0.22658623 0.10965396\n", " 0.15570176 0.09257598 0.59539442 0.37943085 0.40644508] MSE = 0.0006414168686299762 ll= -1.5059712919558215\n", "878700 [1. 0.78464944 0.25312315 0.44572843 0.22656044 0.10964148\n", " 0.15568404 0.09256545 0.59532666 0.37938766 0.40639882] MSE = 0.0006375421018905346 ll= -1.5059712919558215\n", "878800 [1. 0.78466485 0.25316149 0.44575623 0.22659611 0.10965403\n", " 0.15566633 0.09255491 0.59532833 0.37940708 0.40642882] MSE = 0.0006382946317254309 ll= -10.350661649029117\n", "878900 [1. 0.78468935 0.25318503 0.44577606 0.22661129 0.10964156\n", " 0.15566796 0.09254438 0.59536755 0.37937415 0.40638257] MSE = 0.0006360346131490377 ll= -11.037230971529233\n", "879000 [1. 0.78465127 0.25315622 0.44575037 0.2265855 0.10962908\n", " 0.15565593 0.09253385 0.59534418 0.37933098 0.40633633] MSE = 0.000633215528683571 ll= -5.472068709462163\n", "879100 [1. 0.78466325 0.25312742 0.44572241 0.22655973 0.10961661\n", " 0.15569625 0.09254608 0.59536177 0.37928783 0.4062901 ] MSE = 0.0006315856709981735 ll= -1.5059712919558215\n", "879200 [1. 0.784574 0.25309862 0.44567171 0.22653396 0.10960414\n", " 0.15567853 0.09253555 0.59529405 0.37924468 0.40624389] MSE = 0.0006277409642255779 ll= -1.5059712919558215\n", "879300 [1. 0.78459509 0.25306984 0.44565514 0.22650819 0.10959167\n", " 0.15566083 0.09252502 0.59531847 0.37925842 0.40624659] MSE = 0.0006294537491277122 ll= -16.170550645188943\n", "879400 [1. 0.78461958 0.25307745 0.44564995 0.2264938 0.10958603\n", " 0.15565222 0.0925145 0.59533038 0.37929489 0.40628909] MSE = 0.0006324191412801527 ll= -7.058273321744413\n", "879500 [1. 0.78464408 0.25304867 0.44564248 0.22646805 0.10957357\n", " 0.15564703 0.09250398 0.59536275 0.37933364 0.40634865] MSE = 0.000636872667390722 ll= -6.0800274061503545\n", "879600 [1. 0.78466856 0.25305287 0.44566799 0.2264423 0.10956111\n", " 0.15563275 0.09249346 0.59537578 0.37930074 0.40631268] MSE = 0.0006353415834018876 ll= -5.783228237178363\n", "879700 [1. 0.78469304 0.25304002 0.4456844 0.22641655 0.10954866\n", " 0.15564461 0.09248295 0.59539222 0.37933606 0.4063563 ] MSE = 0.0006387531162409166 ll= -5.4217819309793756\n", "879800 [1. 0.78471752 0.25301125 0.44568262 0.22639082 0.10953621\n", " 0.15562692 0.09247243 0.59537342 0.37938388 0.40642378] MSE = 0.000643160798573822 ll= -4.082691273414927\n", "879900 [1. 0.78474199 0.2529825 0.44565583 0.22636508 0.10952376\n", " 0.15562401 0.09246192 0.59538759 0.37943169 0.40649125] MSE = 0.000648034109516908 ll= -3.7371874588259333\n", "880000 [1. 0.78472099 0.25295374 0.4456245 0.22633936 0.10951131\n", " 0.15560632 0.09245141 0.59536766 0.37944426 0.40650301] MSE = 0.0006490720004389633 ll= -1.5059712919558215\n", "880100 [1. 0.78463182 0.252925 0.44557386 0.22631364 0.10949886\n", " 0.15558864 0.09244091 0.5953 0.37940114 0.40645682] MSE = 0.0006452240127582636 ll= -1.5059712919558215\n", "880200 [1. 0.78456198 0.25289626 0.44552324 0.22628792 0.10948642\n", " 0.15557096 0.09243041 0.5952494 0.37935803 0.40641064] MSE = 0.0006418375116845885 ll= -5.296882822814919\n", "880300 [1. 0.78455692 0.25286753 0.44547376 0.22626221 0.10947398\n", " 0.15555442 0.0924199 0.59524767 0.37931493 0.4063656 ] MSE = 0.0006398252368816047 ll= -1.5059712919558215\n", "880400 [1. 0.78447802 0.2528388 0.44542542 0.22623651 0.10946155\n", " 0.15553675 0.09240941 0.5951846 0.37927184 0.40631944] MSE = 0.0006362397586150111 ll= -7.555379248072644\n", "880500 [1. 0.78449455 0.25285438 0.44542367 0.22621081 0.10948433\n", " 0.15553726 0.0924239 0.59520672 0.3792458 0.40629259] MSE = 0.0006350822594078587 ll= -8.274849841828935\n", "880600 [1. 0.78451902 0.25282567 0.44543782 0.22618512 0.10947189\n", " 0.15554003 0.0924134 0.59522658 0.37929018 0.40632822] MSE = 0.0006387313413703288 ll= -5.452176388499581\n", "880700 [1. 0.78454349 0.25280604 0.44541563 0.22615944 0.10945946\n", " 0.15552691 0.09240291 0.59524302 0.37935499 0.40639564] MSE = 0.000643989440885071 ll= -4.124043910515214\n", "880800 [1. 0.78456796 0.25277734 0.44541388 0.22613376 0.10944703\n", " 0.15552629 0.09239242 0.59526286 0.37942546 0.40646304] MSE = 0.0006495407494179001 ll= -5.125792585771633\n", "880900 [1. 0.78459242 0.25274864 0.44538147 0.22610808 0.1094346\n", " 0.15551658 0.09238193 0.59527702 0.37944596 0.40648615] MSE = 0.0006521779511547183 ll= -5.548091041697762\n", "881000 [1. 0.78461687 0.25271995 0.44539221 0.22608242 0.10942218\n", " 0.15551141 0.09237144 0.59530026 0.37950846 0.40655012] MSE = 0.0006574075188826654 ll= -5.416098899988004\n", "881100 [1. 0.78464132 0.25269126 0.44537684 0.22605675 0.10940976\n", " 0.15553235 0.09237911 0.59534279 0.37948014 0.40650397] MSE = 0.0006566089784074441 ll= -5.5381088220402654\n", "881200 [1. 0.78466576 0.25268868 0.44541482 0.2260311 0.10939734\n", " 0.15552378 0.09236863 0.59536148 0.37944274 0.40645897] MSE = 0.0006547547458973608 ll= -7.328665187738716\n", "881300 [1. 0.7846902 0.25266001 0.44538243 0.22600545 0.10938493\n", " 0.15550726 0.09235815 0.59538811 0.37949047 0.40649228] MSE = 0.0006586973270756101 ll= -7.35782070744721\n", "881400 [1. 0.78471463 0.25263134 0.44536367 0.2259798 0.10937252\n", " 0.15549189 0.09234767 0.59541359 0.37955407 0.40655849] MSE = 0.0006641740425650701 ll= -10.51133481746975\n", "881500 [1. 0.78466984 0.25260268 0.44532902 0.22595416 0.10936011\n", " 0.15547765 0.09233719 0.59538348 0.37951101 0.40651237] MSE = 0.0006612924335017741 ll= -5.676922113365399\n", "881600 [1. 0.78466818 0.25257402 0.44529325 0.22592853 0.1093477\n", " 0.15548497 0.09232672 0.59538968 0.37946795 0.40646625] MSE = 0.0006593801761716617 ll= -1.5059712919558215\n", "881700 [1. 0.78458825 0.25254537 0.44524274 0.2259029 0.1093353\n", " 0.15546733 0.09231624 0.59532214 0.37942491 0.40642015] MSE = 0.000655742336418359 ll= -1.5059712919558215\n", "881800 [1. 0.78451174 0.25251673 0.44519224 0.22587728 0.1093229\n", " 0.1554497 0.09230577 0.59525462 0.37938188 0.40637405] MSE = 0.0006521848621026478 ll= -1.5059712919558215\n", "881900 [1. 0.78442844 0.25248809 0.44514176 0.22585167 0.1093105\n", " 0.15543207 0.09229531 0.59518712 0.37933885 0.40632797] MSE = 0.0006485862557228167 ll= -1.5059712919558215\n", "882000 [1. 0.78441093 0.25245946 0.44511056 0.22582606 0.10929811\n", " 0.15542579 0.09228484 0.59515251 0.37929584 0.40628189] MSE = 0.0006460815883835335 ll= -1.5059712919558215\n", "882100 [1. 0.78440136 0.25243084 0.44509751 0.22580045 0.10928571\n", " 0.15542744 0.09227438 0.59514512 0.37929932 0.40629252] MSE = 0.0006471439074444297 ll= -4.146898066393199\n", "882200 [1. 0.7844258 0.25240222 0.44507199 0.22577486 0.10927333\n", " 0.15542909 0.09227072 0.59516608 0.37936629 0.40635982] MSE = 0.0006527142903945476 ll= -5.28263198251602\n", "882300 [1. 0.78445024 0.25237361 0.44505101 0.22574926 0.10926094\n", " 0.15542847 0.09226026 0.5951859 0.37935162 0.40634777] MSE = 0.0006532227431391461 ll= -7.299108507859566\n", "882400 [1. 0.78447467 0.25234501 0.44507877 0.22572368 0.10924855\n", " 0.15545506 0.0922498 0.59521251 0.37930863 0.40630171] MSE = 0.0006516854923686345 ll= -5.539891561899177\n", "882500 [1. 0.78449909 0.25231641 0.44508726 0.2256981 0.10923617\n", " 0.15545444 0.09223935 0.59522212 0.3792917 0.4062874 ] MSE = 0.0006518444651953084 ll= -9.586836028630731\n", "882600 [1. 0.78452351 0.25228782 0.44508555 0.22567252 0.1092238\n", " 0.15550595 0.0922289 0.59521926 0.37932351 0.40632068] MSE = 0.0006549431107167221 ll= -6.41031760825814\n", "882700 [1. 0.78447201 0.25225923 0.44504532 0.22564695 0.10921142\n", " 0.15549286 0.09221845 0.59517335 0.37928053 0.40627464] MSE = 0.0006519671579438437 ll= -1.5059712919558215\n", "882800 [1. 0.7844024 0.25223066 0.4449949 0.22562139 0.10919905\n", " 0.15549111 0.092208 0.59511952 0.3792421 0.40624674] MSE = 0.0006494934491634329 ll= -8.266574476767335\n", "882900 [1. 0.78442682 0.252227 0.44498754 0.22559583 0.10918668\n", " 0.1555222 0.09219755 0.59516085 0.37921953 0.40622565] MSE = 0.0006493414865287957 ll= -13.381951741551307\n", "883000 [1. 0.78445124 0.2523117 0.44504587 0.22564956 0.10922075\n", " 0.15550459 0.09218711 0.5951682 0.37921395 0.40621135] MSE = 0.0006467786692777042 ll= -15.36010501455306\n", "883100 [1. 0.78447565 0.25239638 0.44510872 0.22573613 0.1092333\n", " 0.15549264 0.09218007 0.59518686 0.3792231 0.40622197] MSE = 0.000645272266423277 ll= -6.709494555442907\n", "883200 [1. 0.78450006 0.25237232 0.44510814 0.22571057 0.10922093\n", " 0.155509 0.09216963 0.59521458 0.37926735 0.4062609 ] MSE = 0.0006491505677585845 ll= -8.278020329281057\n", "883300 [1. 0.78452446 0.25234375 0.4451087 0.22568501 0.10920856\n", " 0.15549819 0.09215919 0.5952389 0.37931726 0.40627264] MSE = 0.0006523179116172575 ll= -6.18430604138981\n", "883400 [1. 0.78454885 0.25231518 0.44507189 0.22565946 0.1091962\n", " 0.15549304 0.09214989 0.5952519 0.37937733 0.40633986] MSE = 0.0006576452793532755 ll= -3.7863988437844283\n", "883500 [1. 0.78457324 0.25228662 0.44504868 0.22563391 0.10918384\n", " 0.15547544 0.09213946 0.59528187 0.37943853 0.40640706] MSE = 0.0006631553518410741 ll= -4.1540454035899685\n", "883600 [1. 0.78459762 0.25225806 0.44505037 0.22560838 0.10917148\n", " 0.15547821 0.09212903 0.59530956 0.37949179 0.40646746] MSE = 0.0006681179951872789 ll= -5.930699591986851\n", "883700 [1. 0.784622 0.25222952 0.44503735 0.22558284 0.10915912\n", " 0.1554742 0.09211861 0.59534178 0.37954957 0.40653463] MSE = 0.0006735634563025127 ll= -4.581167277905181\n", "883800 [1. 0.78464637 0.25224284 0.44504357 0.22559692 0.10915243\n", " 0.15546792 0.09210818 0.59536947 0.37950775 0.40649089] MSE = 0.0006710717396543992 ll= -5.373519258435533\n", "883900 [1. 0.78467074 0.25232745 0.4451041 0.22568454 0.10918307\n", " 0.15548767 0.09212039 0.59538131 0.37949649 0.40647997] MSE = 0.0006681343030391594 ll= -7.510507653625139\n", "884000 [1. 0.78466342 0.25234189 0.44509899 0.22570087 0.10917072\n", " 0.15549383 0.09210997 0.59537052 0.37946261 0.40643851] MSE = 0.0006651806014620761 ll= -1.5059712919558215\n", "884100 [1. 0.78457692 0.25231335 0.44504864 0.22567534 0.10915837\n", " 0.15547624 0.09209955 0.59530317 0.37941968 0.40639253] MSE = 0.0006615295881677258 ll= -1.5059712919558215\n", "884200 [1. 0.7845945 0.25228481 0.4450345 0.22564981 0.10914602\n", " 0.15547336 0.09208913 0.59533311 0.37943106 0.40637371] MSE = 0.0006626148055841416 ll= -9.474270798968709\n", "884300 [1. 0.78461886 0.25225628 0.44502262 0.22562429 0.10913368\n", " 0.15548405 0.09207872 0.59535965 0.37950011 0.40642841] MSE = 0.000667902209250103 ll= -5.89511339130061\n", "884400 [1. 0.78464322 0.25222775 0.4450311 0.22559878 0.10912134\n", " 0.15551057 0.09206943 0.59537713 0.37954201 0.40647405] MSE = 0.000671928269718921 ll= -4.082526999392335\n", "884500 [1. 0.78466757 0.25219923 0.44501018 0.22557327 0.109109\n", " 0.15554161 0.09205902 0.59539688 0.37959634 0.40654116] MSE = 0.0006771991253656678 ll= -3.460793278046023\n", "884600 [1. 0.784684 0.25218202 0.44500961 0.22554777 0.10909666\n", " 0.15553646 0.09204862 0.59542906 0.3795602 0.40650311] MSE = 0.0006760327585886363 ll= -1.5059712919558215\n", "884700 [1. 0.7845953 0.25215352 0.4449593 0.22552227 0.10908433\n", " 0.15551888 0.09203821 0.59536175 0.3795173 0.40645716] MSE = 0.0006723574644718751 ll= -1.5059712919558215\n", "884800 [1. 0.78461173 0.25212501 0.4449497 0.22549678 0.109072\n", " 0.15556347 0.0920425 0.59536001 0.37955691 0.4065039 ] MSE = 0.0006761577768113634 ll= -5.234160924507064\n", "884900 [1. 0.78452419 0.25209652 0.44489941 0.22547129 0.10905967\n", " 0.15554589 0.0920321 0.59529272 0.37951401 0.40645796] MSE = 0.0006725307513122563 ll= -1.5059712919558215\n", "885000 [1. 0.78443553 0.25206803 0.44484914 0.22544581 0.10904735\n", " 0.15552831 0.0920217 0.59522545 0.37947113 0.40641202] MSE = 0.0006689326560211483 ll= -1.5059712919558215\n", "885100 [1. 0.78435141 0.25203955 0.44479887 0.22542034 0.10903503\n", " 0.15551073 0.0920113 0.59515819 0.37942825 0.4063661 ] MSE = 0.0006654294757987805 ll= -1.5059712919558215\n", "885200 [1. 0.784369 0.25202802 0.4448277 0.22540617 0.10902271\n", " 0.15550559 0.0920009 0.595161 0.37941137 0.40635182] MSE = 0.0006649676573681209 ll= -12.405719898708954\n", "885300 [1. 0.78439336 0.25211252 0.44489042 0.22549367 0.10905219\n", " 0.15551514 0.09202892 0.59518188 0.37944193 0.40636014] MSE = 0.0006638961525507474 ll= -14.960426018680806\n", "885400 [1. 0.78441771 0.252197 0.44495199 0.22556647 0.10907489\n", " 0.15551903 0.09203208 0.59517226 0.3795109 0.4064272 ] MSE = 0.0006658234940556478 ll= -11.345584129434888\n", "885500 [1. 0.78444206 0.25220917 0.44494918 0.22557827 0.10906257\n", " 0.15552067 0.09202169 0.59519652 0.37957646 0.40649424] MSE = 0.0006702866378691413 ll= -3.2492488872432097\n", "885600 [1. 0.78442349 0.25218069 0.44493281 0.2255528 0.10905025\n", " 0.15551666 0.09201129 0.5951869 0.37956748 0.40648673] MSE = 0.0006702946277152028 ll= -1.5059712919558215\n", "885700 [1. 0.78433717 0.25215221 0.44488257 0.22552733 0.10903794\n", " 0.1554991 0.0920009 0.59512082 0.37952462 0.40644083] MSE = 0.0006667520380997482 ll= -1.5059712919558215\n", "885800 [1. 0.78424862 0.25212374 0.44483234 0.22550186 0.10902563\n", " 0.15548154 0.09199052 0.59505363 0.37948177 0.40639494] MSE = 0.0006632132084039546 ll= -1.5059712919558215\n", "885900 [1. 0.78416008 0.25209528 0.44478212 0.22547641 0.10901332\n", " 0.15546399 0.09198013 0.59498645 0.37943893 0.40634906] MSE = 0.0006597168604248799 ll= -1.5059712919558215\n", "886000 [1. 0.78407157 0.25206682 0.44473191 0.22545095 0.10900102\n", " 0.15544644 0.09196975 0.59491929 0.37939609 0.40630319] MSE = 0.0006562629656627842 ll= -1.5059712919558215\n", "886100 [1. 0.78398307 0.25203837 0.44468172 0.22542551 0.10898871\n", " 0.15542889 0.09195937 0.59485214 0.37935327 0.40625734] MSE = 0.0006528514956371735 ll= -1.5059712919558215\n", "886200 [1. 0.78389572 0.25200993 0.44463153 0.22540007 0.10897641\n", " 0.15541135 0.09194899 0.59478501 0.37931046 0.40621149] MSE = 0.0006494944637749639 ll= -6.232369764939703\n", "886300 [1. 0.7838084 0.25198149 0.44458136 0.22537463 0.10896412\n", " 0.15539382 0.09193861 0.5947179 0.37926766 0.40616565] MSE = 0.000646179400316103 ll= -1.5059712919558215\n", "886400 [1. 0.78372222 0.25195306 0.4445312 0.2253492 0.10895182\n", " 0.15537628 0.09192824 0.5946508 0.37922487 0.40611982] MSE = 0.0006429179247475197 ll= -5.873345234004413\n", "886500 [1. 0.78365975 0.25192464 0.44449233 0.22532378 0.10893953\n", " 0.15535875 0.09191787 0.59459386 0.37918208 0.40607401] MSE = 0.000639981523012646 ll= -7.530374115098285\n", "886600 [1. 0.78367625 0.25197293 0.44452341 0.22536717 0.10893063\n", " 0.155348 0.0919075 0.59462155 0.37919459 0.40609137] MSE = 0.0006399145389221145 ll= -9.572834565660546\n", "886700 [1. 0.78370065 0.2520573 0.44457704 0.22545455 0.10898714\n", " 0.15536995 0.09192195 0.59465824 0.37924994 0.4061561 ] MSE = 0.0006413384110534979 ll= -7.010344442891557\n", "886800 [1. 0.78372505 0.25207398 0.44459118 0.22545506 0.10900756\n", " 0.15535356 0.09194203 0.59467013 0.37928837 0.40617458] MSE = 0.0006430422768834352 ll= -6.031571000652837\n", "886900 [1. 0.78364682 0.25204556 0.44454217 0.22542963 0.10899526\n", " 0.15533717 0.09193166 0.59460307 0.3792456 0.40612878] MSE = 0.0006398662628622385 ll= -1.5059712919558215\n", "887000 [1. 0.7835765 0.25201714 0.44450896 0.22540422 0.10898297\n", " 0.15531965 0.0919213 0.59454955 0.37920284 0.40608299] MSE = 0.0006368597250625354 ll= -4.926499004007242\n", "887100 [1. 0.7835885 0.25198873 0.4445062 0.2253788 0.10897069\n", " 0.1553168 0.09191094 0.59456821 0.37916009 0.40603833] MSE = 0.0006352837695833201 ll= -1.5059712919558215\n", "887200 [1. 0.78353173 0.25196032 0.44448089 0.2253534 0.1089584\n", " 0.15529929 0.09190057 0.5945226 0.37911735 0.40599256] MSE = 0.0006324862822044727 ll= -8.389675470130628\n", "887300 [1. 0.78355613 0.25203674 0.44452322 0.22540352 0.10899008\n", " 0.15534265 0.0918936 0.59449504 0.37909378 0.40598061] MSE = 0.000629245492727508 ll= -8.685765932944754\n", "887400 [1. 0.78358053 0.25212104 0.44458357 0.22549081 0.10901612\n", " 0.15533303 0.09191931 0.59451257 0.37909952 0.4059991 ] MSE = 0.0006276323288829287 ll= -12.40711348257679\n", "887500 [1. 0.78360491 0.25220532 0.44463602 0.22557809 0.10900383\n", " 0.15535046 0.09190895 0.59451544 0.37906806 0.40598828] MSE = 0.00062407584475758 ll= -10.294205444066712\n", "887600 [1. 0.7836293 0.25228958 0.44469408 0.22566535 0.10899155\n", " 0.15534535 0.09189859 0.59452958 0.37908507 0.40603155] MSE = 0.0006237854045030747 ll= -6.022153717200316\n", "887700 [1. 0.78365367 0.25237382 0.44475439 0.22575259 0.10898603\n", " 0.1553425 0.09188824 0.59453357 0.37914263 0.40609847] MSE = 0.0006253494094733291 ll= -6.054198178433522\n", "887800 [1. 0.78367804 0.25245804 0.44481469 0.22583981 0.10899178\n", " 0.15535654 0.0918914 0.59452968 0.37919004 0.40616537] MSE = 0.0006265622245948179 ll= -8.097311127271599\n", "887900 [1. 0.78370241 0.25249268 0.44484456 0.2258752 0.1089795\n", " 0.15537396 0.09188105 0.59454269 0.37921942 0.40619622] MSE = 0.0006278052275757501 ll= -7.8366721484934265\n", "888000 [1. 0.78372677 0.25246424 0.44482599 0.22584976 0.10896723\n", " 0.15537673 0.09187071 0.59457033 0.37923527 0.40619327] MSE = 0.0006295282977658292 ll= -5.934891003736967\n", "888100 [1. 0.78375113 0.25245833 0.44482207 0.22582432 0.10895495\n", " 0.15537613 0.09186712 0.59461149 0.37927703 0.40623198] MSE = 0.0006331433790743431 ll= -4.134874489673289\n", "888200 [1. 0.78377548 0.25247945 0.44483054 0.22584168 0.10897984\n", " 0.15538903 0.09185677 0.59464137 0.37934692 0.40629884] MSE = 0.0006372804315125783 ll= -10.91057391248693\n", "888300 [1. 0.78379982 0.25256361 0.44488741 0.22592884 0.10905427\n", " 0.1554222 0.09192412 0.59465211 0.3794168 0.40636568] MSE = 0.0006391722506957246 ll= -4.087710802055575\n", "888400 [1. 0.78382416 0.25264775 0.44494428 0.22601036 0.10915456\n", " 0.15541709 0.09202634 0.59468535 0.37948666 0.40643251] MSE = 0.0006413433478141181 ll= -7.104456853571957\n", "888500 [1. 0.78384849 0.25273188 0.445 0.22609748 0.10925484\n", " 0.1554086 0.09212855 0.59471072 0.37946308 0.4064059 ] MSE = 0.0006375738084900144 ll= -5.2876189312485495\n", "888600 [1. 0.78387282 0.25281598 0.44506246 0.22618458 0.1093067\n", " 0.15540799 0.09214294 0.59474508 0.37946652 0.40640855] MSE = 0.0006357820640730405 ll= -13.724474950812343\n", "888700 [1. 0.78389714 0.25290007 0.44512492 0.22627166 0.10933153\n", " 0.15539275 0.09214607 0.59475467 0.37952847 0.40647535] MSE = 0.000637744842466135 ll= -8.330163614551646\n", "888800 [1. 0.78392146 0.25294138 0.44513447 0.22629121 0.10936424\n", " 0.15538539 0.09217621 0.59477777 0.37958479 0.40653651] MSE = 0.0006410797622567565 ll= -6.484832552232492\n", "888900 [1. 0.78394577 0.25292867 0.44514851 0.22626575 0.10935194\n", " 0.15537466 0.09216584 0.59480311 0.37961296 0.40657291] MSE = 0.0006440980489003257 ll= -5.705569423752529\n", "889000 [1. 0.78397008 0.25290021 0.44513894 0.2262403 0.10933963\n", " 0.15538193 0.09215547 0.59483631 0.37960963 0.40656654] MSE = 0.0006451211430601503 ll= -3.4362174327998525\n", "889100 [1. 0.78399438 0.25287177 0.44512373 0.22621485 0.10932733\n", " 0.15537908 0.09214511 0.59487289 0.37960405 0.40657368] MSE = 0.000646586372197752 ll= -4.379651757301466\n", "889200 [1. 0.78401867 0.25287932 0.44515465 0.22619615 0.10934653\n", " 0.15538072 0.09216174 0.59489596 0.37967383 0.40664042] MSE = 0.0006513905459927713 ll= -15.589004755013626\n", "889300 [1. 0.78404296 0.25296334 0.44521705 0.22628318 0.1093511\n", " 0.15538012 0.09215587 0.59491453 0.37970198 0.40666779] MSE = 0.0006512569547608325 ll= -5.011237703158706\n", "889400 [1. 0.78406724 0.25304734 0.44527943 0.22637018 0.1093478\n", " 0.15536264 0.09214551 0.59494659 0.37974474 0.40673451] MSE = 0.0006530939886411617 ll= -7.1307289561784115\n", "889500 [1. 0.78409152 0.25313132 0.44533056 0.22644817 0.10940297\n", " 0.15536766 0.09215988 0.59497077 0.37980211 0.40680121] MSE = 0.0006553115107482703 ll= -12.808076393110587\n", "889600 [1. 0.7841158 0.25321529 0.44536144 0.22651265 0.10945475\n", " 0.15537943 0.09219786 0.59500169 0.37986847 0.4068679 ] MSE = 0.0006581944342245612 ll= -5.475268531424915\n", "889700 [1. 0.78414006 0.25329924 0.44542379 0.2265996 0.10945931\n", " 0.15541704 0.09220099 0.59503934 0.37993255 0.40693458] MSE = 0.0006609081220876879 ll= -8.473313944850512\n", "889800 [1. 0.78416433 0.25338316 0.44548612 0.22668652 0.10945937\n", " 0.15542542 0.09219849 0.5950399 0.37992245 0.40692256] MSE = 0.0006583052980455383 ll= -8.389450256292852\n", "889900 [1. 0.78418858 0.25346707 0.44554844 0.22677343 0.10955945\n", " 0.15542931 0.09230052 0.5950517 0.37998876 0.40698921] MSE = 0.0006607223574577289 ll= -6.258705564440787\n", "890000 [1. 0.78421283 0.25355096 0.44561074 0.22686032 0.10965951\n", " 0.15543881 0.09240252 0.59509158 0.38002585 0.40702776] MSE = 0.0006616675724130662 ll= -7.208192764715974\n", "890100 [1. 0.78423708 0.25363483 0.44567303 0.22694719 0.10975955\n", " 0.15542809 0.09250449 0.59512921 0.37998315 0.40698202] MSE = 0.0006573057550435541 ll= -6.21232064095243\n", "890200 [1. 0.78426132 0.25371868 0.44573531 0.22703404 0.10985957\n", " 0.15541625 0.09260645 0.59515897 0.38 0.40699472] MSE = 0.0006567829017548732 ll= -4.931533233596522\n", "890300 [1. 0.78428555 0.25380252 0.44579757 0.22712087 0.10995956\n", " 0.15541339 0.09270838 0.5951685 0.38000449 0.40700067] MSE = 0.0006555143322502872 ll= -5.961292333614393\n", "890400 [1. 0.78430978 0.25388633 0.44585084 0.22717511 0.11005953\n", " 0.15542626 0.09281029 0.59519488 0.37997192 0.40695496] MSE = 0.0006519442650514708 ll= -12.37307181160529\n", "890500 [1. 0.78433401 0.25397013 0.44590633 0.22725966 0.11009771\n", " 0.15541554 0.0928066 0.59521114 0.37993374 0.40690925] MSE = 0.0006476933829077893 ll= -6.145227265922666\n", "890600 [1. 0.78435823 0.2540539 0.44596856 0.22734643 0.11016395\n", " 0.15540595 0.09287367 0.59522515 0.37995957 0.40692308] MSE = 0.0006475605478597306 ll= -6.61068233379904\n", "890700 [1. 0.78438244 0.25413766 0.44603077 0.22739165 0.11026387\n", " 0.1554278 0.09297552 0.5952605 0.37995621 0.40691556] MSE = 0.000646539515456177 ll= -13.808095475832411\n", "890800 [1. 0.78440665 0.2542214 0.44608622 0.22747839 0.11033457\n", " 0.15545975 0.09302683 0.59529134 0.37994386 0.40686988] MSE = 0.0006434793420504984 ll= -9.925335093113526\n", "890900 [1. 0.78435451 0.25421082 0.44606421 0.22746857 0.11032218\n", " 0.15545128 0.09301639 0.59525707 0.37990121 0.4068242 ] MSE = 0.0006398566776004925 ll= -1.5059712919558215\n", "891000 [1. 0.78430127 0.25418229 0.44602537 0.22744304 0.1103098\n", " 0.15545179 0.09300595 0.59522393 0.37986081 0.40677854] MSE = 0.0006366904762846125 ll= -5.66067965012774\n", "891100 [1. 0.78432548 0.25415376 0.44600673 0.22741751 0.11029742\n", " 0.15543996 0.09299551 0.5952615 0.37983951 0.4067587 ] MSE = 0.0006366164925898196 ll= -8.453117643821969\n", "891200 [1. 0.78426888 0.25412524 0.44596678 0.22739199 0.11028504\n", " 0.15542251 0.09298507 0.59520929 0.37979688 0.40671305] MSE = 0.0006331546609145375 ll= -1.5059712919558215\n", "891300 [1. 0.78425718 0.25409672 0.4459504 0.22736647 0.11027267\n", " 0.15542303 0.09297464 0.59519861 0.37981149 0.40672913] MSE = 0.0006344614169096412 ll= -7.7497005432922315\n", "891400 [1. 0.78425558 0.25406821 0.445943 0.22734096 0.11026029\n", " 0.15543251 0.09296421 0.59519803 0.37980927 0.40673959] MSE = 0.0006352819559947418 ll= -11.271758591354704\n", "891500 [1. 0.78427978 0.25403971 0.44595131 0.22731546 0.11024792\n", " 0.15543751 0.09295378 0.59521988 0.3798407 0.40676127] MSE = 0.0006380164793131475 ll= -7.316712478817008\n", "891600 [1. 0.78430398 0.25401907 0.44595289 0.22729669 0.11023556\n", " 0.15544251 0.09294335 0.5952507 0.37989119 0.40682782] MSE = 0.000642827628781484 ll= -6.111574461526411\n", "891700 [1. 0.78432817 0.25410274 0.44601503 0.22738336 0.11022992\n", " 0.15542844 0.09293293 0.59527927 0.37993607 0.40687865] MSE = 0.0006446540918098242 ll= -7.8817212766728835\n", "891800 [1. 0.78432545 0.25413592 0.4460222 0.22741505 0.11022653\n", " 0.15541213 0.09292251 0.59526522 0.37989346 0.40684984] MSE = 0.0006414843666109929 ll= -1.5059712919558215\n", "891900 [1. 0.78424535 0.25410742 0.44597219 0.22738955 0.11021417\n", " 0.15539471 0.09291209 0.59519847 0.37985086 0.40680422] MSE = 0.0006376081076598114 ll= -1.5059712919558215\n", "892000 [1. 0.78424936 0.2540879 0.44594013 0.22736405 0.11020182\n", " 0.15538401 0.09290167 0.59522144 0.37980827 0.40675861] MSE = 0.0006355637067487583 ll= -6.2601053637675985\n", "892100 [1. 0.78418498 0.25405942 0.44589462 0.22733857 0.11018946\n", " 0.15536659 0.09289126 0.59517601 0.37976794 0.406713 ] MSE = 0.0006322033131734 ll= -1.5059712919558215\n", "892200 [1. 0.78409932 0.25403094 0.44584464 0.22731308 0.11017711\n", " 0.15534918 0.09288084 0.59510929 0.37972537 0.40666741] MSE = 0.0006283489901226255 ll= -1.5059712919558215\n", "892300 [1. 0.78408204 0.25400247 0.44581148 0.2272876 0.11016476\n", " 0.15533961 0.09287043 0.59509191 0.37968281 0.40662183] MSE = 0.0006257736817383673 ll= -1.5059712919558215\n", "892400 [1. 0.78399978 0.253974 0.44576152 0.22726213 0.11015242\n", " 0.1553222 0.09286002 0.5950297 0.37964026 0.40657626] MSE = 0.0006220652594500955 ll= -4.470933235246161\n", "892500 [1. 0.78402398 0.25394554 0.44577768 0.22723667 0.11014007\n", " 0.15533841 0.09285746 0.59505155 0.37970305 0.40663828] MSE = 0.0006270795823026911 ll= -3.1724623533744554\n", "892600 [1. 0.78404818 0.25391709 0.44579496 0.2272112 0.11012773\n", " 0.15540056 0.09284706 0.59509244 0.37976919 0.40670476] MSE = 0.0006325645557305251 ll= -4.58142650264348\n", "892700 [1. 0.78407237 0.25389088 0.44579207 0.22718575 0.11011539\n", " 0.15542796 0.09285122 0.5950773 0.37978266 0.40672642] MSE = 0.0006344077531885917 ll= -6.9643870438106585\n", "892800 [1. 0.78408648 0.25387588 0.44580262 0.2271603 0.11010306\n", " 0.15541503 0.09284082 0.59507785 0.37978492 0.40673463] MSE = 0.000635302096961681 ll= -1.5059712919558215\n", "892900 [1. 0.78399866 0.25384745 0.44575269 0.22713486 0.11009073\n", " 0.15539763 0.09283042 0.5950112 0.37974238 0.40668907] MSE = 0.0006314827864502641 ll= -1.5059712919558215\n", "893000 [1. 0.78401389 0.25389853 0.44579572 0.22718558 0.11008064\n", " 0.15538806 0.09282002 0.5950196 0.37970881 0.4066536 ] MSE = 0.000628345534072758 ll= -9.88606373469211\n", "893100 [1. 0.78403807 0.25398208 0.44585218 0.227271 0.11017021\n", " 0.15539642 0.09290258 0.59505263 0.37977492 0.40672004] MSE = 0.0006313618861485794 ll= -11.913216365654588\n", "893200 [1. 0.78406226 0.25400963 0.44587504 0.22727354 0.11019707\n", " 0.15540701 0.09291233 0.59508678 0.37983093 0.4067596 ] MSE = 0.0006346375375800961 ll= -9.370827895971596\n", "893300 [1. 0.78408643 0.25407635 0.44592253 0.22734214 0.1102004\n", " 0.15538961 0.09290193 0.59512763 0.37983542 0.40674541] MSE = 0.0006334756216908607 ll= -13.57437259192932\n", "893400 [1. 0.7841106 0.25415986 0.44598455 0.22742864 0.11020486\n", " 0.15539348 0.09289153 0.59513937 0.37989925 0.40681182] MSE = 0.000636205322046828 ll= -7.1011890563007665\n", "893500 [1. 0.78413477 0.25424334 0.44604544 0.22749049 0.11025744\n", " 0.1553996 0.09288561 0.59516566 0.37993172 0.4068368 ] MSE = 0.0006369234351473172 ll= -11.799059461402287\n", "893600 [1. 0.78415333 0.2542216 0.44604813 0.22746503 0.1102451\n", " 0.15541354 0.09287521 0.59519978 0.3799418 0.40684947] MSE = 0.0006386991313159537 ll= -5.491015918260043\n", "893700 [1. 0.78417748 0.25419315 0.44602059 0.22743957 0.11023277\n", " 0.15544427 0.09286482 0.59521598 0.37989928 0.40680394] MSE = 0.0006368897953819409 ll= -5.959577416594818\n", "893800 [1. 0.78420163 0.25416471 0.44599194 0.22741412 0.11022043\n", " 0.15545261 0.09285443 0.59522882 0.37991496 0.40683003] MSE = 0.0006392595456734332 ll= -7.0502699624547684\n", "893900 [1. 0.78422578 0.25413627 0.44599351 0.22738868 0.1102081\n", " 0.15544977 0.09284404 0.5952495 0.37993623 0.40685276] MSE = 0.0006417157696467396 ll= -2.5354261759795738\n", "894000 [1. 0.78424992 0.25414252 0.44600179 0.22739568 0.11019577\n", " 0.15548048 0.09283365 0.59527464 0.38000559 0.40691912] MSE = 0.000646529803694802 ll= -2.974646687346009\n", "894100 [1. 0.78427405 0.25422595 0.44606152 0.2274821 0.11020694\n", " 0.15549888 0.09282327 0.59529978 0.38006711 0.40698546] MSE = 0.0006494228433118624 ll= -7.167087139662711\n", "894200 [1. 0.78429818 0.25430936 0.44612348 0.2275685 0.11020468\n", " 0.15553182 0.09281288 0.59533833 0.38012974 0.40705178] MSE = 0.0006525888599858895 ll= -5.325090628246523\n", "894300 [1. 0.7843223 0.25439275 0.44618542 0.22765153 0.11022143\n", " 0.15552896 0.09280251 0.59535227 0.38019906 0.40711809] MSE = 0.0006557130783954556 ll= -12.832466803374338\n", "894400 [1. 0.78434642 0.25447613 0.44624734 0.22773678 0.11021805\n", " 0.15556748 0.09279213 0.59535838 0.38026613 0.40718439] MSE = 0.000658785410842865 ll= -9.399018732134511\n", "894500 [1. 0.78437053 0.25455948 0.44630926 0.22782312 0.11021802\n", " 0.15556574 0.09278399 0.59539468 0.38025716 0.40718582] MSE = 0.0006575682237638446 ll= -9.50069689934076\n", "894600 [1. 0.78439463 0.25464282 0.44637116 0.22790386 0.11026495\n", " 0.15558971 0.0928161 0.5954019 0.38021465 0.40714142] MSE = 0.0006535083014239552 ll= -13.662881438660929\n", "894700 [1. 0.78441873 0.25472613 0.44642634 0.22797675 0.11029958\n", " 0.15559244 0.09284038 0.59543036 0.38019338 0.40711715] MSE = 0.0006511533757251155 ll= -6.172897293989019\n", "894800 [1. 0.78444283 0.25480943 0.44648821 0.22806304 0.11034537\n", " 0.15557505 0.09287694 0.59545211 0.38022689 0.40716441] MSE = 0.0006528288891063853 ll= -2.5546217372543905\n", "894900 [1. 0.78446692 0.25489271 0.44654671 0.22814931 0.11044479\n", " 0.15555767 0.09297832 0.59546938 0.38028722 0.40723067] MSE = 0.0006561170886877125 ll= -4.800028862089103\n", "895000 [1. 0.784491 0.25497597 0.44660856 0.22823556 0.11048609\n", " 0.15556934 0.09301263 0.59549559 0.38034976 0.4072969 ] MSE = 0.000659560473527209 ll= -12.967101463857658\n", "895100 [1. 0.78451508 0.25505922 0.44667039 0.22832179 0.11051508\n", " 0.15555196 0.09300223 0.59550279 0.38040447 0.40736089] MSE = 0.0006623751852220575 ll= -5.686991682301933\n", "895200 [1. 0.78453916 0.25508993 0.44668752 0.22835437 0.11050274\n", " 0.15555916 0.09299296 0.59551223 0.38046922 0.4074271 ] MSE = 0.0006666206579802026 ll= -9.399019275475638\n", "895300 [1. 0.78453307 0.25506144 0.44664879 0.22832887 0.11049039\n", " 0.1555563 0.09298816 0.59551497 0.38047587 0.40744303] MSE = 0.0006678143264102615 ll= -1.5059712919558215\n", "895400 [1. 0.78455378 0.25503295 0.44666704 0.22830336 0.11047805\n", " 0.15561041 0.09301128 0.59553222 0.38051156 0.40748911] MSE = 0.0006715870098315036 ll= -8.029298247060241\n", "895500 [1. 0.78457784 0.25500447 0.44666518 0.22827786 0.11046571\n", " 0.15559303 0.09300089 0.59555618 0.38050704 0.40749162] MSE = 0.0006725164218637985 ll= -7.695680228858767\n", "895600 [1. 0.7846019 0.25497599 0.44665997 0.22825237 0.11045338\n", " 0.15559241 0.09299051 0.59556896 0.38056281 0.40755779] MSE = 0.0006775131289157791 ll= -4.443485152056514\n", "895700 [1. 0.78462595 0.25494752 0.44662573 0.22822689 0.11044105\n", " 0.155613 0.09298013 0.59558508 0.38060853 0.40758598] MSE = 0.0006809319521315542 ll= -4.573179193565786\n", "895800 [1. 0.78456291 0.25491906 0.44658368 0.22820141 0.11042871\n", " 0.15559562 0.09296974 0.5955331 0.38056604 0.40754047] MSE = 0.0006770513408750045 ll= -1.5059712919558215\n", "895900 [1. 0.7845691 0.2548906 0.44654945 0.22817593 0.11041639\n", " 0.15561174 0.09295937 0.59553918 0.38054476 0.40751954] MSE = 0.0006762609613968251 ll= -4.878250769572739\n", "896000 [1. 0.78457975 0.25486215 0.44653086 0.22815046 0.11040406\n", " 0.15560888 0.09294899 0.59555084 0.38054805 0.40752204] MSE = 0.0006771793432563056 ll= -1.5059712919558215\n", "896100 [1. 0.78451786 0.25483371 0.44649888 0.228125 0.11039174\n", " 0.15559152 0.09293862 0.59550335 0.38050558 0.40747656] MSE = 0.0006733945934849325 ll= -7.445603347864858\n", "896200 [1. 0.7845419 0.25480527 0.44652383 0.22809954 0.11037942\n", " 0.15560875 0.09292824 0.5955284 0.38050552 0.40747684] MSE = 0.0006744263751072902 ll= -5.022355147012229\n", "896300 [1. 0.78452689 0.25477684 0.44648516 0.22807409 0.11036711\n", " 0.15559139 0.09291788 0.5954865 0.3805222 0.40750167] MSE = 0.0006756522506791776 ll= -1.5059712919558215\n", "896400 [1. 0.78449738 0.25474841 0.44645989 0.22804864 0.11035479\n", " 0.15557403 0.09290751 0.59547027 0.38048533 0.40745621] MSE = 0.0006728091176685985 ll= -9.272853749236974\n", "896500 [1. 0.7844701 0.25471999 0.44642905 0.2280232 0.11034248\n", " 0.15556448 0.09289714 0.59544958 0.38044846 0.40741075] MSE = 0.0006699683408717815 ll= -5.975938802709701\n", "896600 [1. 0.78441606 0.25469158 0.44637925 0.22799777 0.11033017\n", " 0.15554936 0.09288678 0.59540212 0.38040602 0.40736531] MSE = 0.0006663665205262487 ll= -4.994778178464435\n", "896700 [1. 0.78439549 0.25466317 0.44636516 0.22797234 0.11031787\n", " 0.15553201 0.09287642 0.59538813 0.3803636 0.40731988] MSE = 0.0006635127197979446 ll= -1.5059712919558215\n", "896800 [1. 0.78433813 0.25464481 0.44633545 0.22795361 0.11030556\n", " 0.15551466 0.09286606 0.59534515 0.38032118 0.40727445] MSE = 0.0006597889613503497 ll= -8.94741071032789\n", "896900 [1. 0.78436218 0.25472792 0.44639719 0.2280397 0.11029326\n", " 0.15553078 0.09285571 0.59538024 0.38030999 0.40726249] MSE = 0.0006581272018565352 ll= -6.086182016175386\n", "897000 [1. 0.78438622 0.25481102 0.44645891 0.22812577 0.11031442\n", " 0.15553462 0.09285205 0.59542089 0.38032668 0.40721708] MSE = 0.0006562306091240171 ll= -13.414563015912\n", "897100 [1. 0.78441026 0.25489409 0.44652062 0.22821182 0.11036009\n", " 0.15554292 0.09287179 0.59542809 0.38028986 0.40717168] MSE = 0.00065234338211392 ll= -5.882548326415512\n", "897200 [1. 0.78443429 0.25497715 0.44658232 0.22829785 0.11045926\n", " 0.15554119 0.09297291 0.5954587 0.38026418 0.4071263 ] MSE = 0.0006492699664032899 ll= -12.473967161572975\n", "897300 [1. 0.78445831 0.25506019 0.446644 0.22838386 0.1105584\n", " 0.15554614 0.09306621 0.59548819 0.38022292 0.40708426] MSE = 0.0006458762265697067 ll= -10.409823993050297\n", "897400 [1. 0.78448234 0.25514321 0.44670567 0.22846985 0.11058286\n", " 0.15555221 0.09307701 0.59551098 0.38019392 0.40706007] MSE = 0.0006433028750720048 ll= -6.973473385660241\n", "897500 [1. 0.78450635 0.25522621 0.44676621 0.22855583 0.11057054\n", " 0.15554156 0.09306664 0.59553265 0.38023512 0.40710386] MSE = 0.0006452613854843856 ll= -6.589898089954498\n", "897600 [1. 0.78453036 0.25530919 0.44682786 0.22864178 0.11055822\n", " 0.15553983 0.09305627 0.59554986 0.3802195 0.40708858] MSE = 0.0006433985059838145 ll= -5.9814526047906655\n", "897700 [1. 0.78455437 0.25539216 0.44688948 0.22872772 0.11054924\n", " 0.15554033 0.0930459 0.59558601 0.3802217 0.40707888] MSE = 0.0006425419288229105 ll= -9.136263435848367\n", "897800 [1. 0.78457837 0.2554751 0.4469511 0.22881363 0.11056812\n", " 0.1555308 0.09303554 0.59560432 0.38026067 0.40710705] MSE = 0.0006439311969746601 ll= -9.045884838549032\n", "897900 [1. 0.78460236 0.25555803 0.4470127 0.22889953 0.11059033\n", " 0.1555959 0.09306861 0.59563934 0.38032524 0.40717309] MSE = 0.0006478678497638748 ll= -5.749893212308417\n", "898000 [1. 0.78462635 0.25564094 0.44707428 0.22898541 0.11065041\n", " 0.15560307 0.09313064 0.59565653 0.38039203 0.40723911] MSE = 0.0006517309334973574 ll= -10.000584343158513\n", "898100 [1. 0.78465033 0.25572383 0.44712027 0.22905568 0.11074722\n", " 0.15564031 0.09322829 0.59567817 0.38042094 0.40726726] MSE = 0.0006534003742922885 ll= -10.704261795603864\n", "898200 [1. 0.78467431 0.2558067 0.44716735 0.22914152 0.11077608\n", " 0.1556987 0.09322459 0.59571429 0.38046209 0.40731544] MSE = 0.0006560202866054961 ll= -6.673430350881368\n", "898300 [1. 0.78469829 0.25588956 0.4472289 0.22922734 0.11077266\n", " 0.15571699 0.09321421 0.59573592 0.38046872 0.40732242] MSE = 0.0006559470920065045 ll= -7.669493339769734\n", "898400 [1. 0.78472225 0.25597239 0.44729044 0.22931315 0.11077034\n", " 0.15572526 0.09321051 0.59574084 0.38042859 0.40727819] MSE = 0.0006524515675050445 ll= -10.328779561978648\n", "898500 [1. 0.78474622 0.25605521 0.44734862 0.22939893 0.11081256\n", " 0.15571015 0.09323464 0.59575134 0.38048419 0.40734305] MSE = 0.0006559423655794135 ll= -7.483046247063669\n", "898600 [1. 0.78477017 0.25613801 0.44740902 0.2294847 0.11085364\n", " 0.15573957 0.0932788 0.59575849 0.38054758 0.40740902] MSE = 0.0006598595335387996 ll= -10.874167331358215\n", "898700 [1. 0.78479412 0.25622079 0.44747051 0.22957044 0.11088026\n", " 0.15576786 0.09327955 0.59578122 0.38059871 0.40747496] MSE = 0.0006634834580332826 ll= -6.4365531907510665\n", "898800 [1. 0.78481807 0.25630355 0.44753199 0.22965617 0.11087126\n", " 0.15578614 0.09327473 0.59581062 0.38065094 0.40754089] MSE = 0.000667269247920268 ll= -8.91370143762619\n", "898900 [1. 0.78484201 0.25638629 0.44759346 0.22974188 0.11086894\n", " 0.15581331 0.09326658 0.59583222 0.38069648 0.40760681] MSE = 0.000670792700369377 ll= -8.468351931944161\n", "899000 [1. 0.78486595 0.25646902 0.44765491 0.22982757 0.11085994\n", " 0.15580599 0.0932562 0.59586828 0.38074091 0.40765825] MSE = 0.000673944884445567 ll= -10.021124437802872\n", "899100 [1. 0.78488988 0.25655172 0.44771301 0.22991324 0.11092881\n", " 0.15581869 0.09329811 0.5958921 0.38071969 0.40763626] MSE = 0.0006724123352949315 ll= -7.263326582366602\n", "899200 [1. 0.7849138 0.25663441 0.44777222 0.22999889 0.11102769\n", " 0.15582026 0.09339673 0.59591703 0.38077967 0.40770215] MSE = 0.0006768932278314933 ll= -7.811745010163325\n", "899300 [1. 0.78493772 0.25671708 0.44783363 0.23008452 0.1110198\n", " 0.15582518 0.09338968 0.59595529 0.3808363 0.40776802] MSE = 0.0006811431563942183 ll= -6.026342825652165\n", "899400 [1. 0.78496164 0.25679973 0.4478828 0.23017013 0.11102524\n", " 0.15581007 0.09338041 0.59596798 0.38084399 0.40778161] MSE = 0.0006815946767708789 ll= -7.249570091337942\n", "899500 [1. 0.78498555 0.25688237 0.44793084 0.23022015 0.11108406\n", " 0.15583722 0.09342339 0.59599511 0.38080165 0.40773627] MSE = 0.0006788960704462571 ll= -11.438956425607536\n", "899600 [1. 0.78500945 0.25696498 0.44799111 0.23029572 0.11118288\n", " 0.15584769 0.09352418 0.59602001 0.38082379 0.40776765] MSE = 0.0006811893591732604 ll= -8.72613974737665\n", "899700 [1. 0.78503335 0.25700756 0.44804469 0.23030903 0.11123499\n", " 0.15584149 0.09357826 0.59602379 0.38078146 0.40772232] MSE = 0.0006786261072858028 ll= -6.170919975125975\n", "899800 [1. 0.78505724 0.25697899 0.44804713 0.23028343 0.11122263\n", " 0.15585751 0.09356786 0.59605202 0.38078804 0.40772035] MSE = 0.0006796476230520418 ll= -5.639236630489577\n", "899900 [1. 0.78508113 0.25695488 0.44804179 0.23025784 0.11121027\n", " 0.15585575 0.09355746 0.59607691 0.38085241 0.40777617] MSE = 0.0006845177215532795 ll= -4.747213960437875\n", "900000 [1. 0.78510501 0.25692633 0.44800422 0.23023225 0.11119791\n", " 0.15584398 0.09354706 0.59612179 0.38086454 0.40775531] MSE = 0.0006851428709544682 ll= -5.259071250916557\n", "900100 [1. 0.78510333 0.25690222 0.44801222 0.23020667 0.11118556\n", " 0.15582667 0.09353667 0.59611667 0.38082222 0.40771 ] MSE = 0.0006822276679012346 ll= -1.5059712919558215\n", "900200 [1. 0.78504166 0.25687368 0.44796911 0.23018109 0.1111732\n", " 0.15581491 0.09352627 0.59607044 0.38077991 0.4076647 ] MSE = 0.0006779453628284115 ll= -8.319061582668155\n", "900300 [1. 0.78504999 0.25684515 0.44796712 0.23015552 0.11116085\n", " 0.15582204 0.09351589 0.59606643 0.38074539 0.40761942] MSE = 0.000675482162298017 ll= -1.5059712919558215\n", "900400 [1. 0.78506276 0.25681662 0.4479529 0.23012996 0.11114851\n", " 0.15581917 0.0935055 0.59607131 0.38070532 0.40758858] MSE = 0.0006734956567243851 ll= -12.047438899778697\n", "900500 [1. 0.78508663 0.25678809 0.44795757 0.2301044 0.11113616\n", " 0.15581853 0.09349733 0.59609063 0.38076855 0.40765438] MSE = 0.0006786625551934353 ll= -5.771583646697623\n", "900600 [1. 0.78511049 0.25686063 0.44797557 0.23013992 0.11117934\n", " 0.15582565 0.09351027 0.59609883 0.38077401 0.40765575] MSE = 0.0006788814001283447 ll= -4.517794242106258\n", "900700 [1. 0.78513435 0.25694093 0.44801022 0.23020098 0.11116922\n", " 0.15584499 0.09349989 0.59613147 0.38073173 0.40761048] MSE = 0.0006760455108147019 ll= -5.981061400027432\n", "900800 [1. 0.78515821 0.25691462 0.44802043 0.23017542 0.11115688\n", " 0.15582991 0.09348951 0.596143 0.38077495 0.40767514] MSE = 0.0006803983955228384 ll= -4.521358532732702\n", "900900 [1. 0.78518206 0.2568861 0.44800511 0.23014987 0.11114454\n", " 0.15581816 0.09347913 0.59615897 0.38081927 0.4077409 ] MSE = 0.0006848611119227728 ll= -5.350139067775235\n", "901000 [1. 0.78520591 0.25685759 0.44799312 0.23012432 0.1111322\n", " 0.15582196 0.09346875 0.59617272 0.3808658 0.40780664] MSE = 0.0006894116822188611 ll= -4.5187617341709245\n", "901100 [1. 0.78522974 0.25682908 0.44799556 0.23009878 0.11111987\n", " 0.15582242 0.09347059 0.59618646 0.38089789 0.40787236] MSE = 0.0006935833086159031 ll= -5.743792005747377\n", "901200 [1. 0.78525358 0.25680058 0.44799023 0.23007324 0.11110754\n", " 0.15581068 0.09346022 0.59619798 0.38095328 0.40793808] MSE = 0.0006984222802508149 ll= -5.245736873233197\n", "901300 [1. 0.78527741 0.25678762 0.44799157 0.23004771 0.11109521\n", " 0.15582002 0.09344984 0.59619951 0.3809443 0.40793054] MSE = 0.0006983448812441612 ll= -3.8791548411290124\n", "901400 [1. 0.78530123 0.25675913 0.44796627 0.23002219 0.11108288\n", " 0.15583269 0.09343948 0.59622767 0.38092977 0.40790636] MSE = 0.0006978627030237875 ll= -5.919078322951891\n", "901500 [1. 0.78532505 0.25673841 0.44795762 0.22999667 0.11107056\n", " 0.15582095 0.09342911 0.59624251 0.38098292 0.40796539] MSE = 0.0007024024114551824 ll= -5.725104527090521\n", "901600 [1. 0.78534886 0.25670993 0.44793455 0.22997116 0.11105824\n", " 0.1558081 0.09341875 0.5962751 0.38105158 0.40799224] MSE = 0.0007065424173980377 ll= -9.451531296716917\n", "901700 [1. 0.78537267 0.25668146 0.44794033 0.22994565 0.11104592\n", " 0.15585847 0.0934339 0.59628771 0.38102928 0.40795253] MSE = 0.0007052625196521767 ll= -8.19310504806488\n", "901800 [1. 0.78539647 0.25665299 0.44792281 0.22992015 0.1110336\n", " 0.15589886 0.09342464 0.59630919 0.38109349 0.40801153] MSE = 0.0007103838025832803 ll= -4.838519562601971\n", "901900 [1. 0.7853737 0.25662453 0.44790641 0.22989466 0.11102129\n", " 0.15589044 0.09341428 0.59629741 0.38108561 0.40801397] MSE = 0.0007099385731134352 ll= -6.826986120905314\n", "902000 [1. 0.78539749 0.25659607 0.44788003 0.22986917 0.11100898\n", " 0.1558909 0.09340393 0.59632886 0.38105555 0.40798647] MSE = 0.0007088750249891287 ll= -4.123240626978775\n", "902100 [1. 0.78542129 0.25656763 0.44784922 0.22984368 0.11099667\n", " 0.15588581 0.09339357 0.5963592 0.38109534 0.40798448] MSE = 0.0007110184180397329 ll= -6.9735920486522165\n", "902200 [1. 0.78543288 0.25653919 0.44786055 0.2298182 0.11098437\n", " 0.15586964 0.09338322 0.5963463 0.38107305 0.40797251] MSE = 0.000710080867606761 ll= -4.53397719125722\n", "902300 [1. 0.78541011 0.25651075 0.44784638 0.22979273 0.11097207\n", " 0.15585236 0.09337287 0.59630791 0.38103081 0.40793172] MSE = 0.0007065947574050825 ll= -6.1934941928354235\n", "902400 [1. 0.78535964 0.25648232 0.44780339 0.22976726 0.11095977\n", " 0.15585615 0.09336252 0.59627729 0.38098858 0.40788651] MSE = 0.0007026661315869462 ll= -1.5059712919558215\n", "902500 [1. 0.78527815 0.2564539 0.44775377 0.2297418 0.11094747\n", " 0.1558422 0.09335217 0.59621121 0.38094637 0.40784131] MSE = 0.0006978489595607913 ll= -7.819040383550664\n", "902600 [1. 0.78530194 0.25644875 0.44777507 0.22971634 0.11093518\n", " 0.15585263 0.09334183 0.59623269 0.3809662 0.40786814] MSE = 0.0007002333370193571 ll= -8.241448899098556\n", "902700 [1. 0.78532573 0.25642588 0.44776978 0.22969089 0.11092289\n", " 0.15584644 0.09333149 0.59620319 0.38103368 0.40793375] MSE = 0.0007049701606311261 ll= -6.522910108894594\n", "902800 [1. 0.78534951 0.25639747 0.44774122 0.22966545 0.1109106\n", " 0.1558746 0.09332558 0.59622687 0.38104686 0.40795724] MSE = 0.0007071557247652338 ll= -8.485998170416604\n", "902900 [1. 0.78533784 0.25636907 0.44770824 0.22964001 0.11089832\n", " 0.15588502 0.09331524 0.59619296 0.38100465 0.40791205] MSE = 0.0007037668278725433 ll= -6.024165546974751\n", "903000 [1. 0.78529073 0.25634068 0.44765866 0.22961458 0.11088603\n", " 0.15586776 0.09330491 0.59615461 0.38096245 0.40786687] MSE = 0.0006997970110198396 ll= -1.5059712919558215\n", "903100 [1. 0.78520598 0.25631229 0.44760908 0.22958915 0.11087375\n", " 0.1558505 0.09329457 0.59608859 0.38092027 0.40782171] MSE = 0.0006949989454853934 ll= -5.516263532483139\n", "903200 [1. 0.78513232 0.25628391 0.44755952 0.22956372 0.11086148\n", " 0.15583988 0.09328424 0.59602702 0.38087809 0.40777655] MSE = 0.0006904512304928655 ll= -1.5059712919558215\n", "903300 [1. 0.78505093 0.25625554 0.44750996 0.22953831 0.1108492\n", " 0.15582263 0.09327391 0.59596103 0.38083592 0.4077314 ] MSE = 0.0006857749395658844 ll= -1.5059712919558215\n", "903400 [1. 0.78496513 0.25622717 0.44746042 0.2295129 0.11083693\n", " 0.15580538 0.09326359 0.59589505 0.38079376 0.40768626] MSE = 0.0006810814405572268 ll= -1.5059712919558215\n", "903500 [1. 0.78496347 0.2561988 0.44745517 0.22948749 0.11082466\n", " 0.15579367 0.09325327 0.59589993 0.38075161 0.40764113] MSE = 0.000678413740405054 ll= -5.429706720454351\n", "903600 [1. 0.78498727 0.25617045 0.44746209 0.22946209 0.1108124\n", " 0.15580631 0.09324294 0.59592363 0.38078251 0.40770227] MSE = 0.0006825055125129175 ll= -5.597194206548977\n", "903700 [1. 0.78501107 0.2561421 0.44745241 0.2294367 0.11080013\n", " 0.15581009 0.09323263 0.5959274 0.3808278 0.40774679] MSE = 0.0006862094354946919 ll= -6.107834074377971\n", "903800 [1. 0.78503264 0.25614474 0.44742614 0.22941131 0.11080558\n", " 0.15580392 0.09322673 0.5959367 0.38078566 0.4077072 ] MSE = 0.0006838818051463282 ll= -4.196655199766389\n", "903900 [1. 0.78497123 0.2561164 0.44738438 0.22938593 0.11079332\n", " 0.15578668 0.09321642 0.59589511 0.38075349 0.40766209] MSE = 0.0006801656716489015 ll= -1.5059712919558215\n", "904000 [1. 0.7848855 0.25608806 0.44733488 0.22936055 0.11078106\n", " 0.15576944 0.09320611 0.59582918 0.38071136 0.40761699] MSE = 0.0006755432970126428 ll= -1.5059712919558215\n", "904100 [1. 0.78480088 0.25605973 0.4472854 0.22933518 0.11076881\n", " 0.15575221 0.0931958 0.59576327 0.38066925 0.4075719 ] MSE = 0.0006709756487919952 ll= -1.5059712919558215\n", "904200 [1. 0.7847539 0.25603141 0.44725473 0.22930981 0.11075655\n", " 0.15573499 0.09318549 0.59570955 0.38062714 0.40752682] MSE = 0.0006670686933083782 ll= -6.052630503181596\n", "904300 [1. 0.78468812 0.2560031 0.44720858 0.22928445 0.1107443\n", " 0.15571776 0.09317518 0.59565804 0.38058505 0.40748175] MSE = 0.0006629733266954646 ll= -1.5059712919558215\n", "904400 [1. 0.78466217 0.25597479 0.44717019 0.2292591 0.11073206\n", " 0.15571824 0.09316488 0.59564746 0.38054296 0.40743669] MSE = 0.000659895129944385 ll= -6.428004399803628\n", "904500 [1. 0.78468598 0.25594648 0.4471705 0.22923375 0.11071981\n", " 0.15574414 0.09315458 0.59566453 0.38050088 0.40739275] MSE = 0.0006578483968594808 ll= -6.563129477207017\n", "904600 [1. 0.78464124 0.25591819 0.44713433 0.2292084 0.11070757\n", " 0.15572692 0.09314428 0.59563074 0.38045882 0.40734771] MSE = 0.0006542753228738974 ll= -1.5059712919558215\n", "904700 [1. 0.78465399 0.25589653 0.44714238 0.22918306 0.11069533\n", " 0.15571192 0.09313398 0.59565885 0.38044661 0.40734689] MSE = 0.0006546112182025158 ll= -6.0531729861343235\n", "904800 [1. 0.78460926 0.25586824 0.44712612 0.22915773 0.1106831\n", " 0.15569913 0.09312369 0.5956107 0.38040455 0.40730187] MSE = 0.0006509036221029501 ll= -6.374181788971981\n", "904900 [1. 0.78463307 0.25583996 0.4470977 0.2291324 0.11067087\n", " 0.15568192 0.0931134 0.59564324 0.38036251 0.40725685] MSE = 0.0006489795424381294 ll= -5.947734577401599\n", "905000 [1. 0.78465024 0.25581169 0.44706818 0.22910708 0.11065864\n", " 0.15567466 0.09310311 0.5956183 0.38035142 0.40724831] MSE = 0.0006485679363137516 ll= -5.830430267445523\n", "905100 [1. 0.78467072 0.25578343 0.4470663 0.22908177 0.11064641\n", " 0.15572155 0.09309282 0.59559558 0.38030939 0.40720663] MSE = 0.0006461647570495406 ll= -1.5059712919558215\n", "905200 [1. 0.78462601 0.25575517 0.44703016 0.22905646 0.11063418\n", " 0.15570434 0.09308253 0.59556403 0.38026848 0.40716274] MSE = 0.000642761075114641 ll= -5.988571068478461\n", "905300 [1. 0.7846498 0.25572691 0.44699293 0.22903115 0.11062196\n", " 0.15570261 0.09307335 0.59559103 0.38027397 0.40716416] MSE = 0.0006439277203664421 ll= -4.101182437798965\n", "905400 [1. 0.78467359 0.25569866 0.44695571 0.22900585 0.11060974\n", " 0.15570529 0.09307191 0.59562134 0.38033801 0.40722965] MSE = 0.0006492370758061023 ll= -5.9729194529595375\n", "905500 [1. 0.78469737 0.25575878 0.44700574 0.22905456 0.11061409\n", " 0.15568809 0.09306605 0.59562624 0.380296 0.40718798] MSE = 0.0006460334746469649 ll= -8.157668626543815\n", "905600 [1. 0.78472115 0.25584097 0.44706681 0.2291397 0.11071231\n", " 0.155672 0.09316621 0.59565433 0.38027609 0.40714301] MSE = 0.0006435789501063353 ll= -7.480185570478156\n", "905700 [1. 0.78474492 0.25592314 0.44712677 0.22922482 0.11081051\n", " 0.15567469 0.09326634 0.59567138 0.38026502 0.40710579] MSE = 0.0006416388636644074 ll= -8.828654950412622\n", "905800 [1. 0.78476869 0.2560053 0.44718781 0.22928895 0.11090869\n", " 0.1556575 0.09336646 0.59570498 0.3802407 0.40706415] MSE = 0.000639508692029439 ll= -8.22443864953932\n", "905900 [1. 0.78479245 0.25608744 0.44724332 0.22934091 0.1109682\n", " 0.1556635 0.09340362 0.59572864 0.38022411 0.40705233] MSE = 0.0006384608826894523 ll= -13.204874577182308\n", "906000 [1. 0.7848162 0.25616956 0.44730103 0.22941495 0.11106634\n", " 0.15565073 0.09346065 0.59573684 0.38028922 0.40711778] MSE = 0.000642418274959891 ll= -6.7819237063285\n", "906100 [1. 0.78483996 0.25616556 0.44731347 0.22940949 0.11106733\n", " 0.15569426 0.0935 0.59576159 0.3803234 0.40715453] MSE = 0.0006456248191809325 ll= -9.065051501968734\n", "906200 [1. 0.78477651 0.25613729 0.44728507 0.22938417 0.11105507\n", " 0.15567818 0.09348968 0.59569805 0.38028143 0.40710959] MSE = 0.0006414477155871259 ll= -1.5059712919558215\n", "906300 [1. 0.78468991 0.25610903 0.44723571 0.22935886 0.11104282\n", " 0.155661 0.09347936 0.59563231 0.38023946 0.40706467] MSE = 0.0006369766838801932 ll= -1.5059712919558215\n", "906400 [1. 0.78466402 0.25608077 0.44718967 0.22933355 0.11103056\n", " 0.15564603 0.09346905 0.59561514 0.38020302 0.40701975] MSE = 0.0006340258942084526 ll= -1.5059712919558215\n", "906500 [1. 0.78457855 0.25605252 0.44714034 0.22930825 0.11101831\n", " 0.15562886 0.09345874 0.59554943 0.38016108 0.40697485] MSE = 0.0006296322590579179 ll= -1.5059712919558215\n", "906600 [1. 0.78449862 0.25602427 0.44709432 0.22928296 0.11100607\n", " 0.15561169 0.09344843 0.59548373 0.38011914 0.40692995] MSE = 0.0006253456500962737 ll= -5.820869363641405\n", "906700 [1. 0.78448599 0.25599603 0.44707589 0.22925767 0.11099382\n", " 0.15562431 0.09343812 0.59545445 0.38007721 0.40688617] MSE = 0.0006223726852027597 ll= -1.5059712919558215\n", "906800 [1. 0.78441271 0.2559678 0.44702658 0.22923238 0.11098158\n", " 0.15561046 0.09342782 0.59538877 0.38003529 0.40684129] MSE = 0.0006182226673496023 ll= -1.5059712919558215\n", "906900 [1. 0.78434385 0.25593957 0.4469839 0.2292071 0.11096934\n", " 0.1555933 0.09341751 0.59532311 0.37999338 0.40679643] MSE = 0.0006141577603351932 ll= -1.5059712919558215\n", "907000 [1. 0.7843147 0.25591135 0.44696659 0.22918183 0.11095711\n", " 0.15557614 0.09340721 0.59530819 0.37995148 0.40675157] MSE = 0.0006111427547770491 ll= -5.88887950650072\n", "907100 [1. 0.78433848 0.25588313 0.44695259 0.22915656 0.11094487\n", " 0.15559206 0.09339691 0.59532966 0.37994708 0.40674752] MSE = 0.0006117101579741779 ll= -5.575606551570575\n", "907200 [1. 0.78436225 0.25585492 0.44694521 0.2291313 0.11093264\n", " 0.15558263 0.09338662 0.59535553 0.38001543 0.40681292] MSE = 0.0006169055696736543 ll= -7.963422098921914\n", "907300 [1. 0.7843287 0.25582672 0.4469213 0.22910604 0.11092041\n", " 0.15557099 0.09337632 0.59533399 0.38001874 0.40678461] MSE = 0.0006157306097418561 ll= -1.5059712919558215\n", "907400 [1. 0.78425328 0.25579852 0.44687204 0.22908079 0.11090819\n", " 0.15555384 0.09336603 0.59527609 0.37997685 0.40673978] MSE = 0.0006117313534511836 ll= -6.161849622792253\n", "907500 [1. 0.7841922 0.25577033 0.44682279 0.22905554 0.11089597\n", " 0.1555367 0.09335574 0.59522372 0.37993498 0.40669495] MSE = 0.0006079887541352988 ll= -1.5059712919558215\n", "907600 [1. 0.78419174 0.25576088 0.44682975 0.2290303 0.11088375\n", " 0.15555152 0.09334545 0.59523747 0.37993058 0.40669091] MSE = 0.0006080661768951734 ll= -4.622077447353129\n", "907700 [1. 0.78416042 0.2557327 0.44678493 0.22900507 0.11087153\n", " 0.15553658 0.09333517 0.59522257 0.37988872 0.4066461 ] MSE = 0.0006050948363177515 ll= -6.222196395454652\n", "907800 [1. 0.78409386 0.25570453 0.44674452 0.22897984 0.11085931\n", " 0.15551944 0.09332489 0.59516801 0.37984687 0.4066013 ] MSE = 0.0006013166081544615 ll= -4.93936016160242\n", "907900 [1. 0.78411765 0.25567636 0.4467581 0.22895462 0.1108471\n", " 0.15553206 0.09331461 0.59520379 0.37981714 0.40655651] MSE = 0.00059990522059323 ll= -4.891890451499443\n", "908000 [1. 0.7841194 0.2556482 0.44672761 0.2289294 0.11083489\n", " 0.15554136 0.09330433 0.59520762 0.37977751 0.40651173] MSE = 0.0005976272628118505 ll= -1.5059712919558215\n", "908100 [1. 0.78412885 0.25562004 0.44671145 0.22890419 0.11082269\n", " 0.15554846 0.09331608 0.59522247 0.37979075 0.40650551] MSE = 0.0005985294110753164 ll= -7.412247446736104\n", "908200 [1. 0.78415263 0.2555919 0.44667438 0.22887898 0.11081048\n", " 0.15555776 0.0933069 0.59525823 0.37983482 0.40655324] MSE = 0.000602502027003934 ll= -6.7276742332231265\n", "908300 [1. 0.78414997 0.25556375 0.44665382 0.22885378 0.11079828\n", " 0.15555384 0.09329663 0.59524004 0.379793 0.40650848] MSE = 0.0005998650743500519 ll= -4.666688207328626\n", "908400 [1. 0.78407244 0.25553562 0.44660465 0.22882858 0.11078608\n", " 0.15553672 0.09328636 0.5951756 0.37975118 0.40646372] MSE = 0.0005959165113963208 ll= -1.5059712919558215\n", "908500 [1. 0.78398613 0.25550749 0.44655548 0.22880339 0.11077389\n", " 0.15551959 0.09327609 0.59511008 0.37970938 0.40641898] MSE = 0.0005918979855253208 ll= -1.5059712919558215\n", "908600 [1. 0.78398019 0.25548266 0.44652174 0.22877821 0.1107617\n", " 0.15552779 0.09327133 0.59509521 0.37974023 0.40645349] MSE = 0.0005941445832214802 ll= -5.576951553078889\n", "908700 [1. 0.78396434 0.25545455 0.4464858 0.22875303 0.1107495\n", " 0.15553819 0.09326326 0.59507044 0.37974576 0.40646269] MSE = 0.0005945952968679252 ll= -1.5059712919558215\n", "908800 [1. 0.78396831 0.25542643 0.44647408 0.22872785 0.11073732\n", " 0.15554418 0.093253 0.59506108 0.37978761 0.4065027 ] MSE = 0.0005975251982775661 ll= -4.9971210487186255\n", "908900 [1. 0.78388644 0.25539833 0.44642496 0.22870268 0.11072513\n", " 0.15552707 0.09324274 0.5949956 0.37974582 0.40646017] MSE = 0.0005936804039893947 ll= -1.5059712919558215\n", "909000 [1. 0.7838002 0.25537023 0.44637584 0.22867752 0.11071295\n", " 0.15550996 0.09323248 0.59493014 0.37970404 0.40641545] MSE = 0.0005897551594337158 ll= -1.5059712919558215\n", "909100 [1. 0.78377558 0.25534213 0.44633663 0.22865237 0.11070077\n", " 0.15549285 0.09322222 0.59491089 0.37966227 0.40637074] MSE = 0.0005869709065967844 ll= -1.5059712919558215\n", "909200 [1. 0.78369266 0.25531405 0.44628754 0.22862721 0.11068859\n", " 0.15547575 0.09321197 0.59484545 0.3796205 0.40632604] MSE = 0.0005831428442561561 ll= -3.994362440610861\n", "909300 [1. 0.78363616 0.25528597 0.44624065 0.22860207 0.11067642\n", " 0.15545864 0.09320172 0.59478113 0.37957875 0.40628135] MSE = 0.0005796293767253213 ll= -5.190889543281566\n", "909400 [1. 0.78355548 0.25525789 0.44619158 0.22857693 0.11066425\n", " 0.15544155 0.09319147 0.59472011 0.37953701 0.40623667] MSE = 0.0005759408814312089 ll= -1.5059712919558215\n", "909500 [1. 0.78347042 0.25522982 0.44614251 0.22855179 0.11065208\n", " 0.15542446 0.09318122 0.59465472 0.37949527 0.40619199] MSE = 0.0005722035806331764 ll= -1.5059712919558215\n", "909600 [1. 0.78345245 0.25520176 0.44610005 0.22852666 0.11063991\n", " 0.15541067 0.09317097 0.59463441 0.37947334 0.40617152] MSE = 0.000570964512501717 ll= -4.551327461548038\n", "909700 [1. 0.78347625 0.2551737 0.44609169 0.22850154 0.11062775\n", " 0.15544085 0.09317612 0.59466139 0.37953386 0.40623681] MSE = 0.0005758844846227743 ll= -7.943766861446286\n", "909800 [1. 0.78350005 0.25514565 0.44608552 0.22847642 0.11061559\n", " 0.15544135 0.09316588 0.59468396 0.37959877 0.40630208] MSE = 0.0005808426594276046 ll= -4.842320551577593\n", "909900 [1. 0.78352385 0.25518026 0.44611673 0.22850736 0.11061332\n", " 0.15543636 0.09315564 0.59469774 0.37962959 0.40634975] MSE = 0.0005831063584839285 ll= -4.84645091371453\n", "910000 [1. 0.78354764 0.25526212 0.4461776 0.22859215 0.11064183\n", " 0.15542367 0.09316848 0.59473019 0.37959226 0.40630509] MSE = 0.0005796826575839033 ll= -10.11481770649228\n", "910100 [1. 0.78357143 0.25534396 0.44622198 0.22865714 0.11067802\n", " 0.15542747 0.09318791 0.59476264 0.37962198 0.40633956] MSE = 0.0005811079477961582 ll= -6.720487502726442\n", "910200 [1. 0.78359521 0.25542578 0.44628283 0.2287419 0.11066586\n", " 0.15544226 0.09317767 0.5947742 0.37960334 0.40631689] MSE = 0.000578815013194811 ll= -5.1400654992970765\n", "910300 [1. 0.78361898 0.25550758 0.44634366 0.22882663 0.11066359\n", " 0.15543397 0.09316744 0.59480114 0.37957372 0.40627664] MSE = 0.000575785396729963 ll= -7.5980857974231615\n", "910400 [1. 0.78364276 0.25558937 0.44639789 0.22891135 0.11066901\n", " 0.15542568 0.0931572 0.59482039 0.37953752 0.40623311] MSE = 0.0005724151106272553 ll= -6.514269859078912\n", "910500 [1. 0.78366652 0.25567113 0.4464576 0.22897408 0.11075461\n", " 0.15543607 0.09323484 0.59485281 0.37950681 0.40618849] MSE = 0.0005697157872966468 ll= -14.07504926514653\n", "910600 [1. 0.78369028 0.2556749 0.44642724 0.22897748 0.11075783\n", " 0.15543987 0.09323558 0.59489621 0.37956178 0.40625041] MSE = 0.0005740584449244413 ll= -3.7553268470685746\n", "910700 [1. 0.78371403 0.25564683 0.44643861 0.22895234 0.11074566\n", " 0.15543817 0.09322644 0.59492862 0.37962662 0.40631562] MSE = 0.0005790640403517117 ll= -5.642372556544437\n", "910800 [1. 0.78373778 0.25561875 0.44641375 0.2289272 0.1107335\n", " 0.1554222 0.09321621 0.59493467 0.3796607 0.40635665] MSE = 0.0005821186575546502 ll= -5.561965813077301\n", "910900 [1. 0.78365613 0.25559069 0.44636473 0.22890206 0.11072134\n", " 0.15540514 0.09320597 0.59486935 0.37961902 0.40631203] MSE = 0.0005782788213604399 ll= -1.5059712919558215\n", "911000 [1. 0.78363926 0.25556263 0.44635086 0.22887693 0.11070919\n", " 0.15541772 0.09319574 0.59484246 0.37957734 0.40626743] MSE = 0.0005754906355031607 ll= -5.671014849414783\n", "911100 [1. 0.78362678 0.25554007 0.4463348 0.22885291 0.11069704\n", " 0.15543139 0.09318551 0.59482217 0.3795719 0.40625686] MSE = 0.000574982298244893 ll= -7.593855725315127\n", "911200 [1. 0.7835748 0.25551202 0.44629459 0.22882779 0.11068489\n", " 0.15541982 0.09317528 0.59477006 0.37953024 0.40621227] MSE = 0.0005716298505175222 ll= -5.921016591046182\n", "911300 [1. 0.78351185 0.25548398 0.44624561 0.22880268 0.11067274\n", " 0.15540277 0.09316506 0.59471356 0.37948859 0.40616769] MSE = 0.0005681607534231675 ll= -1.5059712919558215\n", "911400 [1. 0.78346428 0.25545594 0.44620652 0.22877757 0.11066059\n", " 0.15538571 0.09315483 0.59467793 0.37946779 0.40614616] MSE = 0.0005664345792194662 ll= -6.3405586006340044\n", "911500 [1. 0.78348804 0.2554718 0.44620803 0.22875357 0.11064845\n", " 0.15538293 0.09314461 0.59468729 0.379526 0.40621132] MSE = 0.0005706401012550374 ll= -8.720814724342656\n", "911600 [1. 0.78351179 0.25555348 0.44626879 0.22883818 0.11063631\n", " 0.15539879 0.09313439 0.59471201 0.37953922 0.40621503] MSE = 0.0005703343449545018 ll= -7.778669377904086\n", "911700 [1. 0.78353554 0.2556176 0.44632295 0.22888438 0.11062418\n", " 0.15542343 0.09313076 0.59471918 0.37949868 0.40617047] MSE = 0.0005671234348424805 ll= -8.654771956157095\n", "911800 [1. 0.78355928 0.25558956 0.4463409 0.22885927 0.11061204\n", " 0.15544148 0.09312603 0.59472195 0.37946474 0.40613689] MSE = 0.0005656429959685629 ll= -5.367478097604416\n", "911900 [1. 0.78358302 0.25556153 0.44634459 0.22883417 0.11059991\n", " 0.15547708 0.09312898 0.59473678 0.37942312 0.40609234] MSE = 0.0005637610906749935 ll= -6.155755522338294\n", "912000 [1. 0.78360676 0.2555335 0.44632854 0.22880908 0.11058778\n", " 0.15551047 0.09311876 0.59476587 0.37938919 0.40604781] MSE = 0.0005622428273908606 ll= -5.241835529400407\n", "912100 [1. 0.7835307 0.25550548 0.44627961 0.22878399 0.11057566\n", " 0.15549342 0.09310855 0.59470066 0.37934759 0.40600329] MSE = 0.0005585797200446269 ll= -1.5059712919558215\n", "912200 [1. 0.78345138 0.25547747 0.44623068 0.22875891 0.11056353\n", " 0.15547637 0.09309834 0.59463546 0.379306 0.40595878] MSE = 0.0005549214198802216 ll= -1.5059712919558215\n", "912300 [1. 0.78341592 0.25544946 0.44619601 0.22873383 0.11055141\n", " 0.15546591 0.09308814 0.59457685 0.37926442 0.40591427] MSE = 0.0005517704069444413 ll= -1.5059712919558215\n", "912400 [1. 0.78333004 0.25542146 0.4461471 0.22870876 0.1105393\n", " 0.15544887 0.09307793 0.59451167 0.37922284 0.40586978] MSE = 0.0005481158141955717 ll= -1.5059712919558215\n", "912500 [1. 0.78331214 0.25539347 0.44611026 0.22868369 0.11052718\n", " 0.15544936 0.09307212 0.59449584 0.37918128 0.4058253 ] MSE = 0.0005456101620345977 ll= -1.5059712919558215\n", "912600 [1. 0.7832263 0.25536548 0.44606137 0.22865863 0.11051507\n", " 0.15543233 0.09306192 0.59443068 0.37913973 0.40578082] MSE = 0.0005420157451116532 ll= -1.5059712919558215\n", "912700 [1. 0.78318431 0.2553375 0.44601249 0.22863357 0.11050296\n", " 0.15543173 0.0930561 0.59440061 0.37912119 0.40576375] MSE = 0.0005407515349305445 ll= -4.497720872407234\n", "912800 [1. 0.78320806 0.25530952 0.44599211 0.22860852 0.11049085\n", " 0.1554158 0.09304591 0.59442204 0.37918922 0.40582886] MSE = 0.0005456521217569741 ll= -4.263864393700546\n", "912900 [1. 0.78323181 0.25528155 0.44597174 0.22858348 0.11047875\n", " 0.15545026 0.09304777 0.59445114 0.37919807 0.40584575] MSE = 0.0005474325454505428 ll= -6.591956450963487\n", "913000 [1. 0.78316245 0.25525359 0.44592288 0.22855844 0.11046664\n", " 0.15543652 0.09303757 0.59439807 0.37915653 0.40580129] MSE = 0.0005441466179596766 ll= -1.5059712919558215\n", "913100 [1. 0.78313143 0.25522563 0.44589266 0.22853341 0.11045455\n", " 0.15543812 0.09302738 0.59438554 0.37911501 0.40575685] MSE = 0.0005415827756206137 ll= -5.743993677190154\n", "913200 [1. 0.78315519 0.25519768 0.44591173 0.22850838 0.11044245\n", " 0.15548352 0.09304457 0.59439492 0.3791162 0.4057595 ] MSE = 0.0005424801649655545 ll= -6.305024434905126\n", "913300 [1. 0.78317346 0.25516973 0.44589356 0.22848336 0.11043035\n", " 0.15546649 0.09303438 0.59440977 0.37908344 0.40572602] MSE = 0.0005412029091723681 ll= -1.5059712919558215\n", "913400 [1. 0.78312712 0.25514179 0.44587868 0.22845834 0.11041826\n", " 0.15544947 0.0930242 0.5943633 0.37904194 0.40568159] MSE = 0.0005381658994740555 ll= -1.5059712919558215\n", "913500 [1. 0.78311145 0.25511386 0.44586818 0.22843333 0.11040617\n", " 0.1554423 0.09301401 0.59434202 0.37905737 0.40569958] MSE = 0.000539274476860341 ll= -9.535974642832894\n", "913600 [1. 0.7831341 0.25509469 0.44587192 0.22840832 0.11039409\n", " 0.15542748 0.09300383 0.59435577 0.37902025 0.40566831] MSE = 0.0005378666165108052 ll= -1.5059712919558215\n", "913700 [1. 0.78314361 0.25506677 0.44585158 0.22838332 0.11038201\n", " 0.15543126 0.09299365 0.594375 0.37898752 0.40562719] MSE = 0.0005363497105274327 ll= -3.364894066992282\n", "913800 [1. 0.78316734 0.25513845 0.44589581 0.22845026 0.11039072\n", " 0.15543176 0.09299442 0.59440188 0.37905111 0.40569224] MSE = 0.0005394897062127737 ll= -4.49063418880433\n", "913900 [1. 0.78319107 0.25521996 0.44595645 0.22853469 0.11042022\n", " 0.15543117 0.09300503 0.59443204 0.37910484 0.40575728] MSE = 0.0005421701426180185 ll= -8.101607819842254\n", "914000 [1. 0.78321479 0.25530146 0.44601707 0.2286191 0.11042237\n", " 0.1554251 0.09299486 0.59445891 0.37916949 0.4058223 ] MSE = 0.0005451680280385131 ll= -13.765833067789883\n", "914100 [1. 0.78323851 0.25538293 0.44606455 0.22867068 0.11046061\n", " 0.15541904 0.09302845 0.59446608 0.37922867 0.40588731] MSE = 0.0005482034928934297 ll= -17.45929369904621\n", "914200 [1. 0.78326223 0.25537031 0.44606608 0.22865551 0.11045072\n", " 0.15542391 0.09301827 0.59450279 0.37922 0.40588119] MSE = 0.0005485128598875492 ll= -6.2904702053841515\n", "914300 [1. 0.78328593 0.25534238 0.44607088 0.2286305 0.11043863\n", " 0.15541457 0.09300809 0.59452964 0.37917852 0.4058368 ] MSE = 0.0005467314842918939 ll= -11.320029899705972\n", "914400 [1. 0.78325167 0.25533523 0.44606475 0.2286219 0.11042656\n", " 0.1554107 0.09300011 0.5945029 0.37913704 0.40579241] MSE = 0.0005436489222434766 ll= -1.5059712919558215\n", "914500 [1. 0.78322178 0.25530731 0.44603237 0.22859689 0.11041448\n", " 0.1553937 0.09298994 0.59448272 0.37909558 0.40574913] MSE = 0.000541037021814322 ll= -5.304490122292616\n", "914600 [1. 0.78316129 0.25527939 0.44599781 0.2285719 0.11040241\n", " 0.15537671 0.09297977 0.59442756 0.37905413 0.40570476] MSE = 0.00053780031953623 ll= -1.5059712919558215\n", "914700 [1. 0.78313798 0.25525148 0.44597857 0.22854691 0.11039033\n", " 0.155363 0.0929696 0.59439318 0.37901268 0.4056604 ] MSE = 0.0005350936413281971 ll= -1.5059712919558215\n", "914800 [1. 0.78314092 0.25522357 0.44595605 0.22852192 0.11037827\n", " 0.1553646 0.09295944 0.59441019 0.3790106 0.40564447] MSE = 0.0005351614522236341 ll= -2.1684651980787746\n", "914900 [1. 0.78316463 0.25519676 0.44597617 0.22849694 0.1103662\n", " 0.15534762 0.09294928 0.59442064 0.3790763 0.40570944] MSE = 0.0005397852515513343 ll= -4.387727163851916\n", "915000 [1. 0.78318833 0.25517543 0.44596349 0.22847196 0.11035414\n", " 0.15534047 0.09293912 0.59441578 0.3790928 0.4057274 ] MSE = 0.0005413832482113728 ll= -3.7830254919134867\n", "915100 [1. 0.78321202 0.25514754 0.44595301 0.22844699 0.11034208\n", " 0.15533224 0.09292896 0.59443716 0.37911694 0.40575519] MSE = 0.0005438172993908453 ll= -4.148241828222593\n", "915200 [1. 0.78323571 0.25512731 0.44596219 0.22842203 0.11033002\n", " 0.15531636 0.09291881 0.59446399 0.37912031 0.40575784] MSE = 0.0005447988295160635 ll= -5.31825977278752\n", "915300 [1. 0.78323536 0.25511036 0.44594515 0.22839707 0.11031796\n", " 0.15532452 0.09291521 0.59444821 0.37909309 0.40573317] MSE = 0.0005434506531777225 ll= -6.796085549317464\n", "915400 [1. 0.78325904 0.25508795 0.44595761 0.22837212 0.11030591\n", " 0.15535125 0.09290943 0.59444881 0.37913471 0.4057981 ] MSE = 0.0005473253361580953 ll= -4.231720774134189\n", "915500 [1. 0.78328272 0.25506008 0.44591217 0.22834717 0.11029386\n", " 0.15533428 0.09289928 0.59444724 0.37918069 0.40586301] MSE = 0.0005514596439313575 ll= -4.551859548169471\n", "915600 [1. 0.78330639 0.25503222 0.44591262 0.22832223 0.11028181\n", " 0.15532387 0.09288913 0.59443801 0.37921901 0.40592791] MSE = 0.0005552240135256891 ll= -3.7841502325268084\n", "915700 [1. 0.78326999 0.25500437 0.44586391 0.22829729 0.11026977\n", " 0.15531564 0.09287899 0.59438401 0.37921581 0.40592617] MSE = 0.0005547581198131849 ll= -5.991660645940516\n", "915800 [1. 0.78329366 0.25497652 0.4458316 0.22827236 0.11025773\n", " 0.1553096 0.09286884 0.594401 0.3791744 0.40588184] MSE = 0.0005530060438974925 ll= -5.883549063030664\n", "915900 [1. 0.78325071 0.25494868 0.44579166 0.22824743 0.11024569\n", " 0.15529264 0.0928587 0.59436012 0.379133 0.40583752] MSE = 0.0005501188127243679 ll= -1.5059712919558215\n", "916000 [1. 0.78316519 0.25492084 0.44574299 0.22822251 0.11023365\n", " 0.15527569 0.09284856 0.59429523 0.3790916 0.40579321] MSE = 0.000546662206467672 ll= -1.5059712919558215\n", "916100 [1. 0.78311463 0.25489301 0.44570087 0.2281976 0.11022162\n", " 0.15527402 0.09283843 0.59424236 0.37905022 0.40574891] MSE = 0.0005436560956255593 ll= -6.604016674877768\n", "916200 [1. 0.7831383 0.25486519 0.44568497 0.22817269 0.11020958\n", " 0.15527453 0.09282829 0.59424735 0.37908744 0.40578321] MSE = 0.0005465731286096796 ll= -3.8945026215613407\n", "916300 [1. 0.7831205 0.25483737 0.44566143 0.22814778 0.11019756\n", " 0.15526195 0.09281816 0.59424798 0.3790919 0.40579459] MSE = 0.0005474145565176776 ll= -1.5059712919558215\n", "916400 [1. 0.78311688 0.25480956 0.44567063 0.22812289 0.11018553\n", " 0.15524828 0.09280803 0.59425516 0.37906472 0.40576558] MSE = 0.0005461585665922686 ll= -5.6773612525244275\n", "916500 [1. 0.78314055 0.25478285 0.44570821 0.22809799 0.11017351\n", " 0.15525753 0.09280009 0.59428961 0.37907355 0.40576822] MSE = 0.000547382653701702 ll= -5.1816809815869975\n", "916600 [1. 0.78314457 0.25475505 0.44571195 0.2280731 0.11016148\n", " 0.15525696 0.09278996 0.59429023 0.37903437 0.40572831] MSE = 0.0005454693655996666 ll= -5.9193582210371645\n", "916700 [1. 0.78314423 0.25475998 0.44573314 0.22807441 0.11014947\n", " 0.15525747 0.09277984 0.59428649 0.37901593 0.40568623] MSE = 0.0005434540831545653 ll= -1.5059712919558215\n", "916800 [1. 0.78309807 0.25473219 0.44570088 0.22804953 0.11013745\n", " 0.1552569 0.09277081 0.59425112 0.37900513 0.40567798] MSE = 0.0005426838355258697 ll= -4.207945012599016\n", "916900 [1. 0.78312173 0.25470441 0.44568717 0.22802465 0.11012544\n", " 0.15524215 0.09276069 0.59425829 0.37905214 0.4057428 ] MSE = 0.0005468763864737792 ll= -3.9862505998780686\n", "917000 [1. 0.78311048 0.25467663 0.44565601 0.22799978 0.11011343\n", " 0.15523067 0.09275057 0.59424692 0.3790686 0.40575853] MSE = 0.0005481946366825097 ll= -1.5059712919558215\n", "917100 [1. 0.78309597 0.25465104 0.44564667 0.22797492 0.11010142\n", " 0.15521374 0.09274046 0.59422356 0.3790349 0.40572519] MSE = 0.0005462901114359911 ll= -6.466680084594625\n", "917200 [1. 0.78311962 0.25462327 0.44564497 0.22795006 0.11008941\n", " 0.15520445 0.09273035 0.5942449 0.37906008 0.40576818] MSE = 0.0005492702740127407 ll= -4.215453622308274\n", "917300 [1. 0.7830604 0.25459551 0.44561819 0.22792521 0.11007741\n", " 0.15520279 0.09272024 0.59420192 0.37903729 0.40575011] MSE = 0.0005476622216646577 ll= -1.5059712919558215\n", "917400 [1. 0.78306988 0.25456775 0.44559032 0.22790036 0.11006541\n", " 0.15521531 0.09271013 0.59421345 0.37901886 0.40573749] MSE = 0.0005474718756237691 ll= -8.434442446242265\n", "917500 [1. 0.78309026 0.25454 0.44557445 0.22787552 0.11005341\n", " 0.15520929 0.09270002 0.59423697 0.37899063 0.40569326] MSE = 0.0005461728937754156 ll= -5.013275841093733\n", "917600 [1. 0.7831139 0.25451226 0.44553787 0.22785068 0.11004142\n", " 0.15520654 0.09268992 0.59426703 0.37895586 0.40564905] MSE = 0.0005448444372688184 ll= -5.76779989219406\n", "917700 [1. 0.78313535 0.25448452 0.44556888 0.22782585 0.11002942\n", " 0.15522232 0.09267982 0.59428618 0.37892219 0.40560484] MSE = 0.0005432540104767428 ll= -6.187755909134139\n", "917800 [1. 0.78315898 0.25448295 0.44557699 0.22780102 0.11003705\n", " 0.15523918 0.09266972 0.59430969 0.37890051 0.40556064] MSE = 0.0005418383516884431 ll= -8.615748713114757\n", "917900 [1. 0.78318261 0.25445522 0.44553606 0.2277762 0.11002506\n", " 0.15527021 0.09265962 0.59433319 0.37886577 0.40552844] MSE = 0.0005408774924252628 ll= -4.388768133186442\n", "918000 [1. 0.78320623 0.25442968 0.44552239 0.22775139 0.11001307\n", " 0.15525547 0.09264953 0.59431855 0.378855 0.40551694] MSE = 0.0005408060786530778 ll= -6.419486585251918\n", "918100 [1. 0.78322985 0.25440196 0.44554902 0.22772658 0.11000109\n", " 0.15525926 0.09263943 0.59434967 0.37882571 0.40548039] MSE = 0.000539755753170433 ll= -10.239497678127368\n", "918200 [1. 0.78325346 0.25437425 0.44556149 0.22770178 0.10998911\n", " 0.15525433 0.09262934 0.59436989 0.37888792 0.40554515] MSE = 0.0005444364703152892 ll= -4.31859061480778\n", "918300 [1. 0.78327706 0.25434655 0.44553147 0.22767698 0.10997713\n", " 0.155269 0.0926247 0.59440754 0.37894467 0.40560662] MSE = 0.0005491744941500617 ll= -2.638837074586642\n", "918400 [1. 0.78330066 0.25432429 0.44555156 0.22765218 0.10996515\n", " 0.15527388 0.09261461 0.59443755 0.37900468 0.40567135] MSE = 0.0005538487051949968 ll= -7.0820256190331845\n", "918500 [1. 0.78332426 0.25435758 0.44558798 0.2276851 0.10995753\n", " 0.15527657 0.09260453 0.59445231 0.37906359 0.40573171] MSE = 0.0005570937483142168 ll= -5.750941707703949\n", "918600 [1. 0.78334785 0.25438977 0.44560697 0.2277104 0.10994556\n", " 0.1552945 0.09259989 0.59446489 0.37907893 0.40575395] MSE = 0.0005580135364105154 ll= -10.231898012580604\n", "918700 [1. 0.78336164 0.25436207 0.44559765 0.22768561 0.10993359\n", " 0.1553157 0.09258981 0.5944742 0.37910189 0.405774 ] MSE = 0.0005600751576890243 ll= -1.5059712919558215\n", "918800 [1. 0.78335692 0.25433439 0.44557527 0.22766083 0.10992163\n", " 0.15532274 0.09259279 0.59444868 0.37906063 0.40572984] MSE = 0.000557789173166853 ll= -8.55156547797651\n", "918900 [1. 0.7833805 0.2543067 0.44555834 0.22763605 0.10990966\n", " 0.15532542 0.0925936 0.59447758 0.37903243 0.40569983] MSE = 0.0005571035699664857 ll= -5.952117165899857\n", "919000 [1. 0.78340407 0.25427903 0.4455512 0.22761127 0.1098977\n", " 0.15536076 0.09258352 0.59450103 0.37905104 0.40572859] MSE = 0.0005595513242644442 ll= -5.387401113430725\n", "919100 [1. 0.78342764 0.25433624 0.44557889 0.22760392 0.10991404\n", " 0.15538955 0.09257345 0.59451578 0.3790272 0.40571164] MSE = 0.000558047335396377 ll= -7.855239922372525\n", "919200 [1. 0.7834512 0.25441736 0.44563921 0.22768796 0.10994995\n", " 0.15538897 0.09256338 0.59453922 0.37899576 0.40567294] MSE = 0.0005545186755308213 ll= -9.83248597982281\n", "919300 [1. 0.78347476 0.25449848 0.44569952 0.22777198 0.1099456\n", " 0.15537315 0.09255331 0.59454634 0.37896214 0.40562881] MSE = 0.000550739230526411 ll= -12.269557975183433\n", "919400 [1. 0.78349831 0.25457957 0.44574785 0.22785598 0.1099554\n", " 0.15535734 0.09254324 0.59456761 0.37894159 0.40562493] MSE = 0.0005487759969604426 ll= -9.719089622961832\n", "919500 [1. 0.78352186 0.25466065 0.44580814 0.22793996 0.10995976\n", " 0.15534805 0.09253317 0.59459213 0.37892974 0.40560692] MSE = 0.0005466718983945124 ll= -8.144459315313975\n", "919600 [1. 0.78354541 0.25468515 0.44583143 0.2279652 0.10996411\n", " 0.15535726 0.09253616 0.59461011 0.37891572 0.40559434] MSE = 0.0005457846790394261 ll= -5.896471147479843\n", "919700 [1. 0.78346455 0.25465746 0.44578295 0.22794041 0.10995215\n", " 0.15534037 0.0925261 0.59454763 0.37887451 0.40555024] MSE = 0.0005423984910809421 ll= -1.5059712919558215\n", "919800 [1. 0.78340655 0.25462977 0.44573774 0.22791562 0.1099402\n", " 0.15532565 0.09251604 0.59450582 0.37883332 0.40550832] MSE = 0.000539527080565487 ll= -5.4666493288093\n", "919900 [1. 0.78337139 0.25460209 0.44569689 0.22789085 0.10992825\n", " 0.15530876 0.09250598 0.5944738 0.37883235 0.40550989] MSE = 0.0005394871224989391 ll= -1.5059712919558215\n", "920000 [1. 0.78335254 0.25461898 0.44569301 0.22789651 0.10994673\n", " 0.15534515 0.09252527 0.59444831 0.37879117 0.40546581] MSE = 0.0005363187013289625 ll= -10.281449205879792\n", "920100 [1. 0.78337609 0.25467935 0.44573478 0.22795761 0.10996413\n", " 0.15534565 0.0925413 0.59447174 0.37875 0.40542174] MSE = 0.0005330201184782593 ll= -6.0029417105897895\n", "920200 [1. 0.7833116 0.25465167 0.44569286 0.22793283 0.10995218\n", " 0.15532877 0.09253125 0.59440822 0.37870884 0.40537768] MSE = 0.0005298491110440142 ll= -1.5059712919558215\n", "920300 [1. 0.78327646 0.25463921 0.44566073 0.22791893 0.10994023\n", " 0.15532602 0.09252119 0.59438166 0.37869485 0.40537927] MSE = 0.0005292505827318525 ll= -5.946488481172986\n", "920400 [1. 0.78330001 0.2547202 0.44572096 0.22799631 0.10996414\n", " 0.15532652 0.09251114 0.59440291 0.37875041 0.40543844] MSE = 0.0005314392860951474 ll= -5.269975809352022\n", "920500 [1. 0.78332355 0.25480117 0.44576706 0.2280465 0.10998805\n", " 0.1553292 0.09250109 0.59443068 0.37870926 0.40539439] MSE = 0.0005280297044003312 ll= -9.260879950036848\n", "920600 [1. 0.78334709 0.25488213 0.44582618 0.22813036 0.10998588\n", " 0.15533514 0.09249104 0.59445736 0.37871266 0.40537534] MSE = 0.0005264399655483566 ll= -17.05043331186648\n", "920700 [1. 0.78337063 0.25496307 0.44588529 0.22821421 0.11003367\n", " 0.15532587 0.09252661 0.59446882 0.3787758 0.40542798] MSE = 0.0005286371850084308 ll= -5.511004388909493\n", "920800 [1. 0.78339416 0.25504399 0.44593896 0.22829803 0.11003584\n", " 0.15532964 0.09252091 0.59449223 0.37883241 0.40549256] MSE = 0.000531222952274217 ll= -13.332962386287482\n", "920900 [1. 0.78341768 0.25512489 0.44599913 0.22838184 0.11009557\n", " 0.15531929 0.0925543 0.59451238 0.37889335 0.40555712] MSE = 0.0005338860979688272 ll= -5.452732794146398\n", "921000 [1. 0.7834412 0.25520578 0.4460582 0.22846563 0.11008361\n", " 0.15530894 0.09254425 0.59454447 0.37889239 0.40555978] MSE = 0.0005330626510588778 ll= -12.380560245840698\n", "921100 [1. 0.78346471 0.25528664 0.44611835 0.2285494 0.11014984\n", " 0.15531813 0.09259609 0.59455592 0.37887188 0.40553637] MSE = 0.0005306677435135763 ll= -8.477640767053547\n", "921200 [1. 0.78348822 0.2553675 0.44617414 0.22863316 0.11024644\n", " 0.15531864 0.0926946 0.59457714 0.37892303 0.40558897] MSE = 0.0005329149156421415 ll= -8.120597137769305\n", "921300 [1. 0.78351172 0.25544833 0.44623426 0.22871689 0.11034303\n", " 0.15534086 0.0927855 0.59461029 0.37889275 0.40554603] MSE = 0.0005299942015746222 ll= -9.57337112156766\n", "921400 [1. 0.78353522 0.25552914 0.44629437 0.22880061 0.1104396\n", " 0.15533485 0.09288397 0.5946315 0.3788983 0.40555845] MSE = 0.0005298109972220827 ll= -8.32841041985152\n", "921500 [1. 0.78355871 0.25560994 0.4463512 0.22888431 0.11053614\n", " 0.15532668 0.09298242 0.59464836 0.37896136 0.40562297] MSE = 0.000532956137946728 ll= -8.455740749995432\n", "921600 [1. 0.7835822 0.25569072 0.44641129 0.22896799 0.11055345\n", " 0.15532935 0.09297992 0.59466088 0.37897016 0.40562778] MSE = 0.0005324767914398269 ll= -8.000546804418308\n", "921700 [1. 0.78360569 0.25577148 0.44647135 0.22905165 0.11054145\n", " 0.15531901 0.09296984 0.59469184 0.37894965 0.40560113] MSE = 0.0005303920051335831 ll= -10.111027015952148\n", "921800 [1. 0.78362916 0.25585223 0.44653141 0.22913529 0.11054139\n", " 0.15531409 0.09295975 0.59471412 0.37898123 0.40562439] MSE = 0.0005313171626839292 ll= -8.395912937190305\n", "921900 [1. 0.78365264 0.25593296 0.44659145 0.22921892 0.11059666\n", " 0.15531243 0.09300716 0.59474506 0.37896073 0.40560317] MSE = 0.0005295672088994755 ll= -12.264056939752585\n", "922000 [1. 0.7836761 0.25601367 0.44665148 0.22930253 0.11060202\n", " 0.15531186 0.09299707 0.59476407 0.37891962 0.40555917] MSE = 0.0005263188982622273 ll= -10.007881291334769\n", "922100 [1. 0.78369957 0.25605206 0.44667787 0.22933948 0.11059544\n", " 0.15532863 0.09298698 0.59478959 0.37891757 0.40553688] MSE = 0.0005255558964605839 ll= -3.790207333868745\n", "922200 [1. 0.78364819 0.25604273 0.44664136 0.22931461 0.11058345\n", " 0.15532155 0.0929769 0.59475762 0.37888732 0.40550699] MSE = 0.0005231126592230535 ll= -1.5059712919558215\n", "922300 [1. 0.78356322 0.25601496 0.44659293 0.22928974 0.11057146\n", " 0.15530471 0.09296682 0.59469313 0.37884624 0.40546302] MSE = 0.0005194057332816564 ll= -1.5059712919558215\n", "922400 [1. 0.78349127 0.25598721 0.44655101 0.22926488 0.11055947\n", " 0.15528787 0.09295674 0.5946384 0.37881383 0.4054299 ] MSE = 0.0005165410062359623 ll= -3.0720857232784424\n", "922500 [1. 0.78351474 0.25595945 0.44654271 0.22924003 0.11054748\n", " 0.15528729 0.09294666 0.59465742 0.37884432 0.40546509] MSE = 0.0005192522828973622 ll= -4.658644063039938\n", "922600 [1. 0.78353713 0.25593171 0.44653767 0.22921518 0.1105355\n", " 0.15532249 0.09293659 0.594671 0.37886612 0.40548943] MSE = 0.0005213273986655507 ll= -1.5059712919558215\n", "922700 [1. 0.7834522 0.25590397 0.44648927 0.22919033 0.11052352\n", " 0.15530566 0.09292651 0.59460655 0.37882506 0.40544548] MSE = 0.0005176786480178098 ll= -1.5059712919558215\n", "922800 [1. 0.7834204 0.25587623 0.44646256 0.22916549 0.11051154\n", " 0.15528883 0.09291644 0.59458871 0.37882627 0.40544706] MSE = 0.0005176301804918852 ll= -5.640861684352672\n", "922900 [1. 0.78335176 0.2558485 0.44642935 0.22914066 0.11049957\n", " 0.155272 0.09290637 0.59453945 0.37878522 0.40540312] MSE = 0.0005143192374027024 ll= -1.5059712919558215\n", "923000 [1. 0.78337523 0.25586846 0.44644165 0.22915592 0.11050168\n", " 0.15534836 0.09289956 0.59456171 0.37874418 0.40535919] MSE = 0.00051198022865528 ll= -5.742078849050523\n", "923100 [1. 0.7833987 0.25594908 0.44650163 0.22923944 0.11049187\n", " 0.15538245 0.09289491 0.59457963 0.37870314 0.40531528] MSE = 0.0005087588911321251 ll= -5.195441357474904\n", "923200 [1. 0.78342216 0.25602968 0.44656159 0.22932293 0.11049507\n", " 0.1553667 0.09288918 0.5945943 0.37873145 0.40536237] MSE = 0.0005102839019159606 ll= -9.159432907246748\n", "923300 [1. 0.78344562 0.25611027 0.44660962 0.22940641 0.11051343\n", " 0.15535962 0.09287912 0.59462738 0.37878899 0.40537153] MSE = 0.0005116566267287459 ll= -13.291402890084244\n", "923400 [1. 0.78346908 0.25619084 0.44665114 0.22946063 0.11053829\n", " 0.15535146 0.09287447 0.59463121 0.37874797 0.40532763] MSE = 0.0005085039083582693 ll= -11.312050862904222\n", "923500 [1. 0.78349253 0.25622157 0.44666558 0.22944769 0.11056747\n", " 0.15536171 0.0928969 0.59465562 0.37875569 0.40533896] MSE = 0.0005094373530023966 ll= -9.383657955644667\n", "923600 [1. 0.78351597 0.25619383 0.44666486 0.22942285 0.1105555\n", " 0.15536004 0.09288684 0.59467677 0.37881646 0.40540336] MSE = 0.0005139019396089118 ll= -6.60256021607605\n", "923700 [1. 0.78353941 0.25616609 0.44665006 0.22939801 0.11054353\n", " 0.15536812 0.09287679 0.59470225 0.37886314 0.40546773] MSE = 0.0005180391052549379 ll= -4.794206773744728\n", "923800 [1. 0.78356285 0.25613836 0.44664718 0.22937317 0.11053156\n", " 0.1553513 0.09286673 0.59471798 0.37890224 0.40551586] MSE = 0.0005213543387795405 ll= -6.772703439275563\n", "923900 [1. 0.78358627 0.25611063 0.44663564 0.22934834 0.11051959\n", " 0.15533774 0.09285668 0.59473371 0.37896298 0.40558021] MSE = 0.0005258214496300106 ll= -5.40767726984023\n", "924000 [1. 0.7836097 0.25608291 0.44661543 0.22932352 0.11050763\n", " 0.15533608 0.09284663 0.59475593 0.3790237 0.40564455] MSE = 0.0005303828741277878 ll= -8.472680534210598\n", "924100 [1. 0.78363312 0.25605519 0.44660281 0.2292987 0.11049567\n", " 0.15538636 0.09283658 0.59478463 0.37908225 0.40570887] MSE = 0.0005349810168887375 ll= -4.618302073916065\n", "924200 [1. 0.78365653 0.25602749 0.44659669 0.22927389 0.11048371\n", " 0.15544205 0.0928709 0.59482632 0.37914944 0.40577318] MSE = 0.0005401094874505252 ll= -9.307678335340844\n", "924300 [1. 0.78367994 0.25599978 0.44657542 0.22924908 0.11047176\n", " 0.15545661 0.09286085 0.59485393 0.37921554 0.40583748] MSE = 0.0005449556650880137 ll= -6.3205836251127785\n", "924400 [1. 0.78370334 0.25597209 0.4465931 0.22922428 0.11045981\n", " 0.15545602 0.09285081 0.59488261 0.37927729 0.40590176] MSE = 0.0005496710279368265 ll= -8.087326391102792\n", "924500 [1. 0.78372241 0.2559444 0.4466032 0.22919948 0.11044786\n", " 0.15545002 0.09284076 0.59491021 0.37928711 0.40591194] MSE = 0.0005510826289037945 ll= -1.5059712919558215\n", "924600 [1. 0.78372309 0.25591671 0.44658085 0.22917469 0.11043591\n", " 0.15544402 0.09283072 0.59491401 0.37928069 0.405894 ] MSE = 0.0005507056104457958 ll= -5.5403434432461065\n", "924700 [1. 0.78374648 0.25588903 0.446565 0.2291499 0.11042397\n", " 0.15546939 0.09282068 0.594947 0.3793024 0.40590201] MSE = 0.0005525433832924784 ll= -9.136489318837718\n", "924800 [1. 0.78371472 0.25586136 0.44653617 0.22912512 0.11041203\n", " 0.15546664 0.09281064 0.59493241 0.37926354 0.40585812] MSE = 0.0005498700332565627 ll= -1.5059712919558215\n", "924900 [1. 0.78372621 0.25583369 0.44654628 0.22910035 0.11040009\n", " 0.1554974 0.09283196 0.5949481 0.37927119 0.4058683 ] MSE = 0.000551136451681838 ll= -17.6962606203419\n", "925000 [1. 0.78374527 0.25580603 0.44654017 0.22907558 0.11038815\n", " 0.15551735 0.09284031 0.59496054 0.37930046 0.40589793] MSE = 0.0005536848063370052 ll= -6.647137755432642\n", "925100 [1. 0.78376865 0.25578703 0.44653081 0.22905081 0.11037622\n", " 0.15553297 0.09283027 0.59496541 0.37928865 0.40588649] MSE = 0.0005535636056245439 ll= -3.3361266190242316\n", "925200 [1. 0.78379202 0.25575938 0.4465301 0.22902605 0.11036428\n", " 0.15554643 0.09282024 0.59499405 0.37935034 0.40595071] MSE = 0.0005583478139251682 ll= -11.767424359633182\n", "925300 [1. 0.78381539 0.25573173 0.44654345 0.2290013 0.11035236\n", " 0.15553394 0.0928102 0.59501946 0.37933096 0.40592088] MSE = 0.0005576569103842091 ll= -6.102713795221431\n", "925400 [1. 0.78383875 0.25571058 0.44654274 0.22897655 0.11034043\n", " 0.15552794 0.09280017 0.59504701 0.37933427 0.40590727] MSE = 0.0005581555126795707 ll= -7.751210267975053\n", "925500 [1. 0.78386211 0.25568295 0.44650746 0.2289518 0.11032851\n", " 0.15553815 0.09279014 0.5950778 0.37939702 0.40597147] MSE = 0.0005630451778922585 ll= -6.207138669814231\n", "925600 [1. 0.78388547 0.25568666 0.4465316 0.22893679 0.11031875\n", " 0.15552134 0.09278012 0.59511183 0.3793906 0.40596218] MSE = 0.0005631937776907122 ll= -6.724173703054593\n", "925700 [1. 0.78390882 0.25576707 0.4465914 0.2290201 0.11034896\n", " 0.15551966 0.09279386 0.59513505 0.37934961 0.40591832] MSE = 0.0005598850200387118 ll= -8.082117264698283\n", "925800 [1. 0.78393216 0.25582586 0.44663606 0.2290807 0.11035757\n", " 0.15552555 0.09279464 0.59516042 0.37936697 0.40593605] MSE = 0.000560654863289677 ll= -5.309125975719975\n", "925900 [1. 0.78385288 0.25579823 0.44658782 0.22905595 0.11034565\n", " 0.15550875 0.09278462 0.59509613 0.37932599 0.4058922 ] MSE = 0.0005568649199230882 ll= -1.5059712919558215\n", "926000 [1. 0.78386975 0.25582244 0.44663247 0.22908305 0.11033481\n", " 0.15549735 0.0927746 0.5951161 0.37932174 0.40588724] MSE = 0.0005565874642805711 ll= -6.501017563141433\n", "926100 [1. 0.78389309 0.25590281 0.44669222 0.22916631 0.11032289\n", " 0.15550972 0.09276458 0.59513175 0.37938769 0.4059514 ] MSE = 0.0005599136114424183 ll= -4.314371670924237\n", "926200 [1. 0.78391642 0.25598316 0.44675197 0.22924954 0.11038981\n", " 0.15549509 0.09280855 0.59516035 0.37936184 0.40592809] MSE = 0.0005578762295534101 ll= -6.911266592124606\n", "926300 [1. 0.78393975 0.25606349 0.4468117 0.22933276 0.11044591\n", " 0.15549125 0.09285252 0.59517815 0.37941265 0.40597927] MSE = 0.0005604649438148729 ll= -12.234920562293063\n", "926400 [1. 0.78396308 0.2561438 0.44687142 0.22941596 0.11050632\n", " 0.15548095 0.09290187 0.59521645 0.37937601 0.40593868] MSE = 0.0005577797813823338 ll= -3.9651145160037053\n", "926500 [1. 0.7839864 0.25622409 0.44693113 0.22949914 0.11060233\n", " 0.15547388 0.09299978 0.59524719 0.3793383 0.40589486] MSE = 0.0005550364127525407 ll= -12.841560576201443\n", "926600 [1. 0.78400971 0.25630437 0.44699083 0.2295823 0.11069833\n", " 0.15546897 0.09309768 0.59527793 0.37932326 0.40587156] MSE = 0.0005537009813287711 ll= -7.32994025275231\n", "926700 [1. 0.78403302 0.25638463 0.44704295 0.22966544 0.11070257\n", " 0.15546082 0.09309627 0.59530758 0.37929096 0.40582776] MSE = 0.0005510138076883048 ll= -6.522319847284133\n", "926800 [1. 0.78405633 0.25646488 0.44709183 0.22974857 0.1107176\n", " 0.15546671 0.09308622 0.59530269 0.37925219 0.40580015] MSE = 0.0005482789442812432 ll= -7.993951430079843\n", "926900 [1. 0.78407963 0.2565451 0.44715149 0.22983168 0.11071752\n", " 0.15544994 0.09307618 0.5953388 0.37924363 0.40578658] MSE = 0.0005473767002028484 ll= -9.515420890972027\n", "927000 [1. 0.78410292 0.25662531 0.44721113 0.22991477 0.11071529\n", " 0.15546877 0.09306829 0.59535441 0.37929658 0.40585069] MSE = 0.0005505999206226949 ll= -6.189097369402843\n", "927100 [1. 0.78412621 0.2567055 0.44727077 0.22999784 0.11074002\n", " 0.15547033 0.09306149 0.59538727 0.37930636 0.40587918] MSE = 0.000551617124644112 ll= -4.751876310360629\n", "927200 [1. 0.7841495 0.25678568 0.44732607 0.2300809 0.11073563\n", " 0.15545356 0.09305145 0.5954115 0.3792935 0.40585482] MSE = 0.0005502167353641659 ll= -11.443664310138038\n", "927300 [1. 0.78417278 0.25686583 0.44738568 0.23015531 0.11075388\n", " 0.15546592 0.09304681 0.59541199 0.37936044 0.4059135 ] MSE = 0.0005536502859388307 ll= -8.374563798570804\n", "927400 [1. 0.78419605 0.25688342 0.44741184 0.2301596 0.1107538\n", " 0.15546317 0.09303677 0.59541249 0.37932384 0.40588698] MSE = 0.0005518702182287976 ll= -6.07916076663777\n", "927500 [1. 0.78414816 0.25685573 0.4473636 0.23013479 0.11074186\n", " 0.15545611 0.09302674 0.59538063 0.37928725 0.40584322] MSE = 0.0005486656842956161 ll= -8.984142290809713\n", "927600 [1. 0.78417143 0.25684528 0.44737682 0.23011536 0.11072992\n", " 0.15545984 0.09301671 0.59540593 0.37934447 0.40590296] MSE = 0.0005529387156276084 ll= -8.136779938984287\n", "927700 [1. 0.7841947 0.2569254 0.44743639 0.23019836 0.11074386\n", " 0.15546033 0.09300668 0.59541505 0.37940707 0.40596701] MSE = 0.0005564954134684855 ll= -13.212666135430252\n", "927800 [1. 0.78421796 0.2570055 0.44749596 0.23027487 0.11081492\n", " 0.155491 0.09302468 0.59544788 0.37945457 0.40596206] MSE = 0.0005577721126266321 ll= -10.618819408580169\n", "927900 [1. 0.78424122 0.25708558 0.44755551 0.23035568 0.11081591\n", " 0.15547532 0.09301466 0.59548071 0.37947834 0.40599698] MSE = 0.0005596006022977858 ll= -8.135911394463214\n", "928000 [1. 0.78426447 0.25716564 0.44761504 0.23043862 0.11080935\n", " 0.15549952 0.09300679 0.5955049 0.3795118 0.40604699] MSE = 0.0005621778395821387 ll= -9.87940257413657\n", "928100 [1. 0.78428772 0.25724569 0.44767457 0.23052155 0.11087069\n", " 0.15548599 0.0930625 0.59551832 0.37955388 0.40611099] MSE = 0.0005655118921819257 ll= -8.324169224687754\n", "928200 [1. 0.78431096 0.25732572 0.44772977 0.23060446 0.11096649\n", " 0.15548863 0.09316022 0.59553281 0.37958948 0.40614912] MSE = 0.0005680053524847443 ll= -7.148491799150352\n", "928300 [1. 0.7843342 0.25740573 0.44778927 0.23068735 0.11099978\n", " 0.15549989 0.09315772 0.59555053 0.37954859 0.40610537] MSE = 0.000565332560997651 ll= -9.004506891090639\n", "928400 [1. 0.78435743 0.25748573 0.44784876 0.23077023 0.11105892\n", " 0.15548637 0.09321125 0.5955607 0.3795077 0.40606377] MSE = 0.000562855994966366 ll= -8.086842271044942\n", "928500 [1. 0.78438065 0.2575657 0.447905 0.230852 0.11115467\n", " 0.15546963 0.09330892 0.59558703 0.37946682 0.40602003] MSE = 0.0005607029667094965 ll= -9.95921884529642\n", "928600 [1. 0.78440388 0.25764567 0.44796446 0.23093484 0.1112504\n", " 0.15547765 0.09340657 0.59560582 0.37950781 0.40606354] MSE = 0.0005638204947172773 ll= -9.19799135912613\n", "928700 [1. 0.78442709 0.25772561 0.44802391 0.23101766 0.11134611\n", " 0.15549752 0.09349235 0.59563967 0.37950032 0.40605535] MSE = 0.0005640259902174542 ll= -15.152275390339918\n", "928800 [1. 0.78445031 0.25780553 0.44808334 0.23110046 0.1114418\n", " 0.15549801 0.09358027 0.59567891 0.37945946 0.40601163] MSE = 0.0005622175176178848 ll= -7.962111341743696\n", "928900 [1. 0.78447351 0.25788544 0.44814276 0.23118325 0.11151486\n", " 0.15548988 0.09365418 0.59569229 0.3794186 0.40596792] MSE = 0.0005600999338790613 ll= -10.083602050534322\n", "929000 [1. 0.78449672 0.25796534 0.44819894 0.23126601 0.11154161\n", " 0.15548498 0.09364517 0.59571967 0.37937776 0.40592421] MSE = 0.0005578060847900737 ll= -8.065562348051518\n", "929100 [1. 0.78451991 0.25804521 0.44825404 0.23132293 0.11157804\n", " 0.1555113 0.09363617 0.59572121 0.37939397 0.40594403] MSE = 0.0005590426432413981 ll= -12.371510311459772\n", "929200 [1. 0.78454311 0.25812507 0.44831342 0.23137983 0.11164245\n", " 0.15554623 0.09367991 0.59575611 0.37945323 0.40600796] MSE = 0.0005636858490182159 ll= -5.371675554480785\n", "929300 [1. 0.78456629 0.25820491 0.44837279 0.23146255 0.11168963\n", " 0.15553164 0.09367305 0.59577271 0.37949849 0.40605467] MSE = 0.0005668745033453847 ll= -6.807723482180166\n", "929400 [1. 0.78458948 0.25828473 0.44843215 0.23154525 0.11171957\n", " 0.1555601 0.09366297 0.59579899 0.37952975 0.40607339] MSE = 0.0005688991295800796 ll= -3.781988067023462\n", "929500 [1. 0.78461265 0.25836454 0.4484915 0.23162793 0.11170755\n", " 0.15554336 0.09365289 0.59582526 0.37954594 0.40608887] MSE = 0.0005703321638942057 ll= -7.1796218918544925\n", "929600 [1. 0.78463583 0.25844432 0.44855083 0.2317106 0.11171598\n", " 0.15554492 0.09364282 0.59583862 0.37950511 0.40605056] MSE = 0.0005682264515281905 ll= -6.998794157732774\n", "929700 [1. 0.78465899 0.2585241 0.44861015 0.23178034 0.11175344\n", " 0.15557874 0.0936833 0.59585951 0.37949333 0.40605529] MSE = 0.0005688003074416901 ll= -8.275779632665413\n", "929800 [1. 0.78468216 0.25860385 0.44865978 0.23186082 0.1118393\n", " 0.15561041 0.09377003 0.59588147 0.37953856 0.40611918] MSE = 0.0005732800066711911 ll= -12.412141673933121\n", "929900 [1. 0.78470531 0.25868359 0.44871908 0.23194128 0.11183695\n", " 0.15560981 0.09376425 0.59590772 0.37959454 0.40618305] MSE = 0.0005776648835319521 ll= -5.844067524923176\n", "930000 [1. 0.78472847 0.25876331 0.44876223 0.23202387 0.11189913\n", " 0.15562211 0.09379073 0.59591461 0.37959028 0.40618346] MSE = 0.0005781550920443362 ll= -3.8628564603493474\n", "930100 [1. 0.78475161 0.25884301 0.44882151 0.23210645 0.11197742\n", " 0.1556129 0.09384409 0.59593226 0.37963118 0.40623226] MSE = 0.0005819526709793022 ll= -4.781986880640222\n", "930200 [1. 0.78477476 0.2589227 0.44888077 0.23218901 0.11206429\n", " 0.15559617 0.09392861 0.59595312 0.3796495 0.40625202] MSE = 0.0005843769262434098 ll= -6.231837595661163\n", "930300 [1. 0.78479789 0.25900237 0.44893249 0.23227155 0.11215975\n", " 0.15558697 0.09402602 0.59596538 0.37960869 0.40620834] MSE = 0.0005829576180613746 ll= -7.331732214978922\n", "930400 [1. 0.78482103 0.25908202 0.44899172 0.23235408 0.11225519\n", " 0.15559712 0.0941234 0.59598302 0.37956788 0.4061679 ] MSE = 0.0005818348089883726 ll= -4.9380915681935\n", "930500 [1. 0.78484415 0.25916165 0.44904127 0.23242369 0.1123506\n", " 0.15559759 0.09421647 0.5959899 0.37959265 0.40618551] MSE = 0.000584435629512282 ll= -13.789059497027187\n", "930600 [1. 0.78486728 0.25924127 0.44910048 0.23250618 0.11242128\n", " 0.15563568 0.09429554 0.59600967 0.37955185 0.40614186] MSE = 0.0005832385175332272 ll= -7.576956581003634\n", "930700 [1. 0.78489039 0.25932087 0.44915968 0.23258865 0.11248549\n", " 0.15563615 0.09432409 0.59602944 0.37951107 0.40609822] MSE = 0.0005817653890685967 ll= -9.766029832834848\n", "930800 [1. 0.78491351 0.25940045 0.44921887 0.23267111 0.11251209\n", " 0.15563447 0.0943333 0.59604706 0.37948426 0.406075 ] MSE = 0.0005811843654345442 ll= -12.646469094687271\n", "930900 [1. 0.78493661 0.25948002 0.44926407 0.23275355 0.11254405\n", " 0.15563709 0.09433283 0.59607005 0.37944349 0.40603137] MSE = 0.0005795309688517241 ll= -12.481819420242196\n", "931000 [1. 0.78495972 0.25955957 0.44932324 0.23283597 0.11256311\n", " 0.15562252 0.0943227 0.59609947 0.37945107 0.40600816] MSE = 0.0005800560163706306 ll= -9.18267699673263\n", "931100 [1. 0.78498281 0.2596391 0.44938238 0.23291837 0.11258539\n", " 0.15561547 0.09431901 0.59613534 0.37948443 0.40605263] MSE = 0.0005837119711312559 ll= -7.810133341045774\n", "931200 [1. 0.78500591 0.25971861 0.44944152 0.23298786 0.11257545\n", " 0.15564171 0.09430888 0.59615079 0.37950381 0.40607883] MSE = 0.0005860224662436093 ll= -4.004416822934582\n", "931300 [1. 0.78502899 0.25979811 0.44949742 0.23307023 0.11256336\n", " 0.1556454 0.09430412 0.59617805 0.37948991 0.40603522] MSE = 0.0005852687031286517 ll= -7.266451716173972\n", "931400 [1. 0.78505208 0.25987759 0.44955331 0.23315258 0.11263503\n", " 0.15565554 0.09435413 0.5962053 0.37952754 0.40608075] MSE = 0.0005895305430306915 ll= -5.917630647534917\n", "931500 [1. 0.78507516 0.25995705 0.4496049 0.23323492 0.1127303\n", " 0.1556603 0.09444492 0.59623255 0.37957805 0.40612948] MSE = 0.0005946246126690487 ll= -8.796927812323801\n", "931600 [1. 0.78509823 0.2600365 0.44966398 0.23331723 0.11276865\n", " 0.15568545 0.09447128 0.59625765 0.37958454 0.40609877] MSE = 0.0005953445913142869 ll= -10.187100016983036\n", "931700 [1. 0.7851213 0.26011593 0.44972306 0.23339953 0.11286389\n", " 0.15567948 0.0945438 0.59627523 0.37955882 0.40606054] MSE = 0.0005952347011269775 ll= -10.450100703461874\n", "931800 [1. 0.78514436 0.26019534 0.44978105 0.23348181 0.11287217\n", " 0.15568316 0.09454223 0.59629709 0.37960932 0.40611248] MSE = 0.000599706564910087 ll= -4.408735015118223\n", "931900 [1. 0.78516742 0.26027474 0.44984009 0.23356407 0.11286435\n", " 0.15569436 0.09453209 0.59632539 0.37962546 0.40612685] MSE = 0.0006019558097277763 ll= -4.9738755135755515\n", "932000 [1. 0.78519047 0.26035412 0.44989913 0.23364631 0.11286511\n", " 0.15568194 0.09452194 0.59635691 0.3796212 0.40610259] MSE = 0.0006024161526437058 ll= -6.079154993307217\n", "932100 [1. 0.78521352 0.26043348 0.44995494 0.23372854 0.11287554\n", " 0.1556706 0.0945118 0.59638412 0.37959013 0.40605901] MSE = 0.0006014382701431222 ll= -8.544696340893442\n", "932200 [1. 0.78521403 0.26047313 0.44997532 0.2337614 0.11288381\n", " 0.15566999 0.09450166 0.59639738 0.37955906 0.40602081] MSE = 0.0005997286191861532 ll= -1.5059712919558215\n", "932300 [1. 0.78514911 0.26044518 0.44992705 0.23373632 0.1128717\n", " 0.15565329 0.09449153 0.59634199 0.37951834 0.40597726] MSE = 0.0005949632586816628 ll= -1.5059712919558215\n", "932400 [1. 0.78507776 0.26041725 0.44987879 0.23371125 0.11285959\n", " 0.1556366 0.09448139 0.59627802 0.37947764 0.40593371] MSE = 0.0005900332544458277 ll= -1.5059712919558215\n", "932500 [1. 0.78499356 0.26038932 0.44983054 0.23368619 0.11284749\n", " 0.15561991 0.09447126 0.59621407 0.37943694 0.40589018] MSE = 0.0005849725328913569 ll= -1.5059712919558215\n", "932600 [1. 0.78499839 0.26036139 0.44979517 0.23366113 0.11283539\n", " 0.15561716 0.09446113 0.59620912 0.37939625 0.40584665] MSE = 0.0005819314206477436 ll= -6.390602554602811\n", "932700 [1. 0.78502145 0.26033348 0.44980914 0.23363607 0.11282329\n", " 0.15562299 0.094451 0.59622882 0.37937916 0.40582672] MSE = 0.0005811961874019529 ll= -7.339981675711735\n", "932800 [1. 0.78504449 0.26030556 0.44979736 0.23361102 0.11281119\n", " 0.15562989 0.09444087 0.59623459 0.37942747 0.40587756] MSE = 0.0005843438098317528 ll= -6.1866521301787065\n", "932900 [1. 0.78506754 0.26027766 0.44979953 0.23358598 0.1127991\n", " 0.15562607 0.09443075 0.59626715 0.37948649 0.40594125] MSE = 0.000588656671691861 ll= -5.1057524922799855\n", "933000 [1. 0.78509058 0.26028942 0.44979955 0.23358774 0.11279022\n", " 0.15564369 0.09442062 0.59629864 0.37952514 0.40598671] MSE = 0.0005919416517188044 ll= -7.168289997239377\n", "933100 [1. 0.78511361 0.2603687 0.44985852 0.23366024 0.11278778\n", " 0.15567203 0.0944105 0.59631726 0.37951018 0.40598178] MSE = 0.0005925429131847711 ll= -10.37737892791006\n", "933200 [1. 0.78513664 0.26044797 0.44991748 0.23374236 0.11284857\n", " 0.15565534 0.09440253 0.59633265 0.37948451 0.40595649] MSE = 0.0005923597200614083 ll= -11.048507360709339\n", "933300 [1. 0.78515967 0.26052722 0.44997643 0.23382447 0.11284934\n", " 0.15570617 0.0944042 0.59635662 0.37954029 0.40602015] MSE = 0.0005975593376284726 ll= -13.935173861986085\n", "933400 [1. 0.78518269 0.26060645 0.45003536 0.23390657 0.1128426\n", " 0.15570342 0.09439516 0.5963838 0.3795757 0.40605379] MSE = 0.0006011238079985984 ll= -6.794879876492595\n", "933500 [1. 0.7852057 0.26068567 0.45009214 0.23398864 0.11287337\n", " 0.15569102 0.0944129 0.59637776 0.37956075 0.40604885] MSE = 0.000601781248969007 ll= -10.172478118016905\n", "933600 [1. 0.78522871 0.26076486 0.45015104 0.2340707 0.11287627\n", " 0.1556947 0.09440707 0.59640386 0.37957579 0.4060557 ] MSE = 0.0006039792978591299 ll= -7.546825567006289\n", "933700 [1. 0.78525171 0.26084404 0.45020994 0.2341356 0.11291131\n", " 0.15567802 0.09443552 0.59641817 0.37958869 0.40607112] MSE = 0.0006064912881668758 ll= -8.59662131763523\n", "933800 [1. 0.78527471 0.26092321 0.45026882 0.23421763 0.11299561\n", " 0.1557074 0.09451751 0.59644533 0.37965406 0.40613473] MSE = 0.0006129710135296861 ll= -5.833370790482558\n", "933900 [1. 0.78529771 0.26100236 0.45032769 0.23429964 0.11299208\n", " 0.15572178 0.09450739 0.59646284 0.37968516 0.40617049] MSE = 0.0006165498413610109 ll= -6.005996683712117\n", "934000 [1. 0.7853207 0.26108149 0.45038655 0.23438163 0.11297998\n", " 0.15572866 0.09450262 0.59647714 0.3796445 0.40612699] MSE = 0.0006153643032165931 ll= -7.156549728231852\n", "934100 [1. 0.78534368 0.2611606 0.4504454 0.23445931 0.1129743\n", " 0.1557227 0.09449572 0.59651178 0.37963704 0.40612206] MSE = 0.0006167229288285964 ll= -4.72931252924548\n", "934200 [1. 0.78536666 0.26115833 0.45047961 0.2344492 0.11296221\n", " 0.15571031 0.0944856 0.59654748 0.37969811 0.40618563] MSE = 0.0006215043517295574 ll= -10.967625415007925\n", "934300 [1. 0.78538964 0.2611368 0.45046778 0.23442411 0.11295012\n", " 0.15569364 0.09447549 0.59656605 0.37975808 0.4062492 ] MSE = 0.0006255749056409117 ll= -4.657421106207911\n", "934400 [1. 0.78541261 0.26110885 0.45046131 0.23439902 0.11293803\n", " 0.15569517 0.09446538 0.59657284 0.37979129 0.40629134] MSE = 0.0006280189702548436 ll= -4.369968885283877\n", "934500 [1. 0.78534996 0.26108091 0.45041524 0.23437393 0.11292594\n", " 0.15567851 0.09445527 0.59652932 0.37975064 0.40624786] MSE = 0.0006232617272656823 ll= -1.5059712919558215\n", "934600 [1. 0.78526592 0.26105297 0.45036704 0.23434885 0.11291386\n", " 0.15566185 0.09444516 0.59646549 0.37971001 0.40620439] MSE = 0.0006179571245613056 ll= -1.5059712919558215\n", "934700 [1. 0.78519046 0.26102504 0.45032741 0.23432377 0.11290178\n", " 0.1556452 0.09443505 0.59640702 0.37966938 0.40616092] MSE = 0.0006129337961342132 ll= -6.247112601268062\n", "934800 [1. 0.78517064 0.26099711 0.45030705 0.23429871 0.1128897\n", " 0.15564994 0.09442495 0.59638815 0.3796555 0.40611961] MSE = 0.0006102229423699799 ll= -8.49733230266912\n", "934900 [1. 0.78518614 0.26097133 0.45032306 0.23427364 0.11287762\n", " 0.15564613 0.09441485 0.59638425 0.37961489 0.40607617] MSE = 0.0006075557959738853 ll= -1.5059712919558215\n", "935000 [1. 0.78510215 0.26094342 0.4502749 0.23424858 0.11286555\n", " 0.15562948 0.09440475 0.59632046 0.37957429 0.40603273] MSE = 0.0006023501888669308 ll= -1.5059712919558215\n", "935100 [1. 0.78509947 0.26091551 0.45024385 0.23422353 0.11285348\n", " 0.15564064 0.09440107 0.5963123 0.37953583 0.4059893 ] MSE = 0.0005992046396322442 ll= -12.0253006439097\n", "935200 [1. 0.78512245 0.26088974 0.45024062 0.23419848 0.11284141\n", " 0.15563897 0.09439739 0.59634371 0.37951449 0.40594589] MSE = 0.0005976147063581337 ll= -6.67088065744362\n", "935300 [1. 0.78514542 0.26086933 0.45025663 0.23417344 0.11282934\n", " 0.1556266 0.0943873 0.59635693 0.37952844 0.40596343] MSE = 0.0005989069601830422 ll= -5.614519105328821\n", "935400 [1. 0.7851684 0.26086282 0.45022667 0.2341484 0.11281728\n", " 0.15560996 0.09437721 0.59638939 0.37959051 0.40602694] MSE = 0.0006031214993715687 ll= -5.086814282657741\n", "935500 [1. 0.78518709 0.26083494 0.45019029 0.23412337 0.11280522\n", " 0.15563609 0.09437246 0.59639513 0.37957558 0.40601668] MSE = 0.0006022042513652996 ll= -5.747487649072761\n", "935600 [1. 0.78519401 0.26080706 0.45019455 0.23409834 0.11279316\n", " 0.15569856 0.09437092 0.5963923 0.37955104 0.40598503] MSE = 0.0006003639151074622 ll= -1.5059712919558215\n", "935700 [1. 0.78518063 0.26079307 0.45016781 0.23407546 0.1127811\n", " 0.15571398 0.09436084 0.59634245 0.37951261 0.40594164] MSE = 0.0005965981641320897 ll= -6.979775935387324\n", "935800 [1. 0.78520359 0.2607652 0.45014855 0.23405044 0.11276905\n", " 0.15571123 0.09435075 0.59635994 0.37948381 0.40592711] MSE = 0.0005954109903801418 ll= -7.572739639990358\n", "935900 [1. 0.78522654 0.26073734 0.45013144 0.23402543 0.112757\n", " 0.15574802 0.09434067 0.59639132 0.37945287 0.40588374] MSE = 0.000593482127018613 ll= -5.131088051650388\n", "936000 [1. 0.78520568 0.26070948 0.45009403 0.23400043 0.11274495\n", " 0.15575275 0.09433059 0.59636286 0.37941233 0.40584037] MSE = 0.0005897400405409032 ll= -1.5059712919558215\n", "936100 [1. 0.78514957 0.26068162 0.45006303 0.23397543 0.11273291\n", " 0.15573611 0.09432051 0.59631303 0.37937179 0.40579701] MSE = 0.0005852836832712395 ll= -5.6470638121703605\n", "936200 [1. 0.78517252 0.26065378 0.45008546 0.23395043 0.11272086\n", " 0.15574084 0.09431044 0.59634761 0.3793772 0.40580173] MSE = 0.0005862415998754739 ll= -8.216042143382134\n", "936300 [1. 0.78519547 0.26069216 0.45013245 0.2339906 0.11271096\n", " 0.15577227 0.09430036 0.59635975 0.37944029 0.4058652 ] MSE = 0.0005910977916576256 ll= -4.523735898921323\n", "936400 [1. 0.78521841 0.26077112 0.45018904 0.23407241 0.11275232\n", " 0.15575563 0.09431379 0.59634519 0.37949589 0.40592866] MSE = 0.000595969405875527 ll= -12.068508762712602\n", "936500 [1. 0.78524135 0.26084259 0.45024776 0.23412751 0.11275523\n", " 0.15575716 0.09430372 0.59637334 0.37948526 0.40591628] MSE = 0.0005966863940341179 ll= -7.485934652437768\n", "936600 [1. 0.78526428 0.26092152 0.45030646 0.23420929 0.11275921\n", " 0.15575547 0.09429365 0.59638334 0.37944474 0.40587293] MSE = 0.0005954369597136542 ll= -5.389661195249886\n", "936700 [1. 0.78528721 0.26100043 0.45035341 0.23429105 0.11275358\n", " 0.15575272 0.09428358 0.59640829 0.37940423 0.4058296 ] MSE = 0.0005943166981636967 ll= -11.111414340471367\n", "936800 [1. 0.78531013 0.26107932 0.45041208 0.2343728 0.11279172\n", " 0.15575318 0.09431942 0.59642575 0.37939789 0.40582897] MSE = 0.0005959929284147207 ll= -11.293209538479871\n", "936900 [1. 0.78533305 0.2611123 0.45044513 0.23440329 0.11279889\n", " 0.15574509 0.09431469 0.59644962 0.37943424 0.40586251] MSE = 0.0005992391606586295 ll= -8.86812264265944\n", "937000 [1. 0.78535169 0.26108443 0.45042694 0.23437827 0.11278685\n", " 0.15576369 0.09430462 0.59647348 0.37939481 0.40581919] MSE = 0.0005968475086759848 ll= -6.1019515513954925\n", "937100 [1. 0.78530309 0.26105763 0.45039915 0.23435326 0.11277481\n", " 0.1557524 0.09429456 0.5964365 0.37935432 0.40577588] MSE = 0.0005926130282860786 ll= -1.5059712919558215\n", "937200 [1. 0.78528225 0.26102977 0.4503895 0.23432825 0.11276278\n", " 0.15573578 0.09428449 0.59642194 0.37931384 0.40573258] MSE = 0.0005891842471434626 ll= -4.396793506504601\n", "937300 [1. 0.78525181 0.26100192 0.45036918 0.23430324 0.11275075\n", " 0.15574904 0.09427443 0.59639671 0.37927337 0.40568929] MSE = 0.0005854582182535327 ll= -1.5059712919558215\n", "937400 [1. 0.78518511 0.26097834 0.45032647 0.23427825 0.11273872\n", " 0.15573242 0.09426438 0.59634589 0.3792329 0.405646 ] MSE = 0.000580755557423837 ll= -6.114503453263743\n", "937500 [1. 0.78520802 0.26095157 0.45032323 0.23425325 0.11272669\n", " 0.15572541 0.09425432 0.59637188 0.37924792 0.4056582 ] MSE = 0.0005819164903588177 ll= -4.186805365630386\n", "937600 [1. 0.78523093 0.26092587 0.45033067 0.23422827 0.11271467\n", " 0.155744 0.09424427 0.59637973 0.379312 0.4057216 ] MSE = 0.0005860137066844448 ll= -3.584572773512671\n", "937700 [1. 0.78525384 0.26089804 0.45032743 0.23420328 0.11270265\n", " 0.15574339 0.09423422 0.59639612 0.37930354 0.40572739] MSE = 0.0005861699264401014 ll= -3.2712408979429806\n", "937800 [1. 0.78527674 0.26087021 0.45033593 0.23417831 0.11269063\n", " 0.15572998 0.09422417 0.59639437 0.37926309 0.40569479] MSE = 0.0005839958648150383 ll= -7.357955131166221\n", "937900 [1. 0.78529964 0.2608424 0.45034122 0.23415334 0.11267861\n", " 0.15573363 0.09421412 0.59641501 0.37925677 0.40566752] MSE = 0.0005832955668297092 ll= -4.917362090391878\n", "938000 [1. 0.78532253 0.26081459 0.45032413 0.23412837 0.1126666\n", " 0.15572449 0.09420407 0.59643779 0.37932296 0.40573089] MSE = 0.0005874700429637702 ll= -4.5275152614161405\n", "938100 [1. 0.78534542 0.26078678 0.45030171 0.23410341 0.11265458\n", " 0.15572388 0.09419403 0.59645629 0.37938273 0.40579424] MSE = 0.0005913935617664029 ll= -7.356559957180523\n", "938200 [1. 0.78536723 0.26075898 0.45026436 0.23407846 0.11264258\n", " 0.15571368 0.09418399 0.59645987 0.37936574 0.40578297] MSE = 0.0005903528937342317 ll= -5.8634667940532506\n", "938300 [1. 0.78539011 0.26073119 0.45026007 0.23405351 0.11263057\n", " 0.15572373 0.09417395 0.59648796 0.37941697 0.40583351] MSE = 0.0005938967059831001 ll= -3.980286525163055\n", "938400 [1. 0.78541298 0.2607034 0.45029095 0.23402856 0.11261857\n", " 0.15570713 0.09416391 0.59650112 0.37940744 0.40581051] MSE = 0.0005933001522584098 ll= -7.786993187215712\n", "938500 [1. 0.78543585 0.26067562 0.45027707 0.23400362 0.11260656\n", " 0.1556948 0.09415388 0.59651428 0.37947038 0.40587383] MSE = 0.0005973302290549151 ll= -4.756139741067573\n", "938600 [1. 0.78545871 0.26064784 0.4502781 0.23397869 0.11259457\n", " 0.15572403 0.09414598 0.59652957 0.37947682 0.40588386] MSE = 0.0005981655656274007 ll= -7.834795531570186\n", "938700 [1. 0.78548157 0.26062114 0.45026209 0.23395376 0.11258257\n", " 0.15571276 0.09413595 0.59655444 0.37945238 0.40587151] MSE = 0.0005973331819099604 ll= -3.8841497443669764\n", "938800 [1. 0.7854682 0.26059337 0.45021413 0.23392884 0.11257058\n", " 0.15570363 0.09412592 0.59651007 0.37941195 0.40586023] MSE = 0.0005944175314903191 ll= -1.5059712919558215\n", "938900 [1. 0.78547614 0.26056562 0.45018534 0.23390392 0.11255859\n", " 0.15569131 0.09411589 0.59653174 0.37943651 0.40589476] MSE = 0.0005962177406723605 ll= -4.6333376865597895\n", "939000 [1. 0.78549899 0.26054958 0.45018639 0.23387901 0.1125466\n", " 0.15570029 0.09411971 0.59655554 0.37949622 0.40595697] MSE = 0.0006005164673006662 ll= -8.41596352039919\n", "939100 [1. 0.78552183 0.26052183 0.45017891 0.2338541 0.11253461\n", " 0.15569755 0.09410969 0.59655911 0.37946752 0.40592758] MSE = 0.0005987954689087582 ll= -5.480579635967294\n", "939200 [1. 0.78554467 0.26049728 0.45018315 0.2338292 0.11252263\n", " 0.15572676 0.09409967 0.5965829 0.37946758 0.40593334] MSE = 0.0005994601004400168 ll= -6.90738070913463\n", "939300 [1. 0.7855675 0.26046955 0.45016184 0.2338043 0.11251065\n", " 0.1557187 0.09408965 0.59659817 0.37952939 0.40598488] MSE = 0.0006031201957610082 ll= -4.730552754344879\n", "939400 [1. 0.78559033 0.26044182 0.45013734 0.23377941 0.11249867\n", " 0.15570212 0.09407963 0.59660492 0.37953263 0.40601405] MSE = 0.0006041747753016409 ll= -4.063212013822546\n", "939500 [1. 0.78561316 0.26041409 0.4501139 0.23375452 0.11248669\n", " 0.15570471 0.09406962 0.59661699 0.37950075 0.40599851] MSE = 0.0006028398455067434 ll= -7.202370678205351\n", "939600 [1. 0.78563598 0.26038638 0.45009047 0.23372964 0.11247472\n", " 0.1557009 0.09405961 0.59663651 0.37949761 0.40598191] MSE = 0.0006024307820437411 ll= -7.327285651186445\n", "939700 [1. 0.78564496 0.26035866 0.45005534 0.23370477 0.11246275\n", " 0.15572052 0.0940496 0.59664432 0.37948169 0.40597488] MSE = 0.000601551573024778 ll= -1.5059712919558215\n", "939800 [1. 0.78558795 0.26033096 0.45002235 0.2336799 0.11245078\n", " 0.15571246 0.09403959 0.59659998 0.37944131 0.40593168] MSE = 0.0005971209059498258 ll= -7.708102480104327\n", "939900 [1. 0.78558949 0.26033411 0.45002447 0.23365503 0.11244307\n", " 0.15571505 0.09403277 0.5965748 0.37940094 0.40589062] MSE = 0.000594172625251354 ll= -4.3592729790326095\n", "940000 [1. 0.78559315 0.26030642 0.45001383 0.23363017 0.11243111\n", " 0.15571018 0.09402277 0.59656772 0.3793744 0.40584743] MSE = 0.0005916802900610062 ll= -1.5059712919558215\n", "940100 [1. 0.78551277 0.26027872 0.44996596 0.23360532 0.11241915\n", " 0.15569362 0.09401277 0.59650426 0.37933404 0.40580426] MSE = 0.0005866117151652318 ll= -1.5059712919558215\n", "940200 [1. 0.78553239 0.26025104 0.44997979 0.23358047 0.11240719\n", " 0.15571322 0.09400277 0.59649931 0.3793522 0.40582917] MSE = 0.0005880549590770957 ll= -6.187398962756785\n", "940300 [1. 0.7855552 0.26022336 0.44996916 0.23355563 0.11239524\n", " 0.15570091 0.09399277 0.59653372 0.37940864 0.40589236] MSE = 0.0005922605809613431 ll= -5.1832814552474815\n", "940400 [1. 0.78551952 0.26019568 0.44995746 0.23353079 0.11238328\n", " 0.15569712 0.09398277 0.59649155 0.37936829 0.40585026] MSE = 0.0005883805868125587 ll= -5.920031944175006\n", "940500 [1. 0.78554232 0.26017758 0.44998086 0.23351127 0.11237133\n", " 0.15571459 0.09398979 0.59651957 0.37938324 0.40587622] MSE = 0.0005904364663177078 ll= -7.7412451781942355\n", "940600 [1. 0.78555556 0.2601765 0.4499681 0.23350239 0.11235938\n", " 0.15569803 0.0939798 0.59652313 0.3793429 0.40583307] MSE = 0.0005878964038351274 ll= -7.036165084246692\n", "940700 [1. 0.78555709 0.26014884 0.4499511 0.23347757 0.11234744\n", " 0.15569743 0.09396981 0.59653838 0.37930257 0.40578992] MSE = 0.0005852674280381054 ll= -1.5059712919558215\n", "940800 [1. 0.78547784 0.26012119 0.44990326 0.23345275 0.11233549\n", " 0.15568088 0.09395982 0.59647497 0.37926225 0.40574678] MSE = 0.0005802640408726847 ll= -1.5059712919558215\n", "940900 [1. 0.7854273 0.26009354 0.44986182 0.23342793 0.11232355\n", " 0.15566752 0.09394983 0.59643601 0.37922194 0.40570366] MSE = 0.0005760570217850485 ll= -7.040206964824548\n", "941000 [1. 0.7854501 0.26006589 0.44985546 0.23340312 0.11231162\n", " 0.15568392 0.09394622 0.59646084 0.3791827 0.4056616 ] MSE = 0.0005740567794878354 ll= -5.417757464686419\n", "941100 [1. 0.78545165 0.26007758 0.44986504 0.23339957 0.11233794\n", " 0.15568863 0.09397875 0.59645696 0.37920829 0.40568438] MSE = 0.0005757839828451428 ll= -8.847220616783794\n", "941200 [1. 0.78547444 0.2601562 0.44991818 0.23348103 0.11243226\n", " 0.15567846 0.09407502 0.59648815 0.37927 0.40574753] MSE = 0.0005816729862547845 ll= -9.25699492005971\n", "941300 [1. 0.78549724 0.26023481 0.44997238 0.23356247 0.11252656\n", " 0.15566192 0.09417127 0.59649278 0.37930408 0.40577773] MSE = 0.0005854236586905997 ll= -12.385436204895115\n", "941400 [1. 0.78552003 0.2603134 0.45000212 0.2336439 0.11257622\n", " 0.15565813 0.09421226 0.59652077 0.37931796 0.40579305] MSE = 0.0005879246694096682 ll= -4.297127466494995\n", "941500 [1. 0.78554281 0.26039197 0.45006055 0.2337253 0.11262588\n", " 0.15567665 0.09426386 0.59655513 0.37927767 0.40574995] MSE = 0.0005873516472317204 ll= -8.198449671116542\n", "941600 [1. 0.78556559 0.26047053 0.45011896 0.23380669 0.11263728\n", " 0.15570154 0.09425597 0.59657993 0.37928518 0.40575571] MSE = 0.0005892188759519786 ll= -12.17924042901136\n", "941700 [1. 0.78558836 0.26054907 0.45017736 0.23388806 0.11266249\n", " 0.15572111 0.09426083 0.59660472 0.37930756 0.4057689 ] MSE = 0.0005919016312466559 ll= -8.12208050799476\n", "941800 [1. 0.78561113 0.26062759 0.45023574 0.23396942 0.11275672\n", " 0.1557067 0.09435701 0.596638 0.37926728 0.40572582] MSE = 0.0005917944101494679 ll= -12.607868116086971\n", "941900 [1. 0.78563389 0.26070609 0.45029199 0.23405075 0.11284986\n", " 0.15570185 0.09444362 0.59666171 0.37930983 0.40577193] MSE = 0.0005968366974710344 ll= -10.004405083122936\n", "942000 [1. 0.78565665 0.26078458 0.45035036 0.23413207 0.11288778\n", " 0.15569593 0.09443996 0.59666631 0.37930991 0.40577875] MSE = 0.0005984614554833135 ll= -11.88181669119364\n", "942100 [1. 0.78567941 0.26086306 0.4504087 0.23421338 0.11296815\n", " 0.15569321 0.09449151 0.59668684 0.37932484 0.40578344] MSE = 0.0006011942761513871 ll= -7.653124212113567\n", "942200 [1. 0.78570215 0.26094151 0.45046704 0.23429466 0.11300817\n", " 0.15568411 0.09450801 0.59672434 0.37931854 0.40574037] MSE = 0.0006017006080995886 ll= -9.759551947513705\n", "942300 [1. 0.7857249 0.26101995 0.45052537 0.2343685 0.11310231\n", " 0.15568032 0.09460412 0.5967544 0.37931331 0.40573233] MSE = 0.0006039580021611585 ll= -3.5334236903632723\n", "942400 [1. 0.78574764 0.26109838 0.45058368 0.23444975 0.11319643\n", " 0.1556638 0.0946949 0.59676855 0.37937918 0.40579539] MSE = 0.0006104113967260088 ll= -9.904439489588556\n", "942500 [1. 0.78577037 0.26117678 0.45064198 0.23452143 0.11326082\n", " 0.15566108 0.09475594 0.59679329 0.37936863 0.40578417] MSE = 0.0006121068149407919 ll= -4.072584733445647\n", "942600 [1. 0.7857931 0.26125517 0.45069072 0.23460265 0.1132626\n", " 0.15564987 0.09474589 0.59682759 0.37941645 0.40583024] MSE = 0.0006167770712753923 ll= -3.7427754940127067\n", "942700 [1. 0.78581583 0.26133355 0.45074475 0.23468385 0.11326862\n", " 0.15563654 0.09473584 0.59685551 0.3794791 0.40589327] MSE = 0.0006224416038186345 ll= -7.152359003837873\n", "942800 [1. 0.78583855 0.2614119 0.45080301 0.23476504 0.11329479\n", " 0.15564124 0.09473109 0.59686963 0.37948976 0.4059022 ] MSE = 0.0006248322938114796 ll= -7.653424236729849\n", "942900 [1. 0.78586126 0.26149024 0.45086126 0.23482817 0.11335596\n", " 0.15565337 0.09477302 0.59688375 0.37952694 0.40593763] MSE = 0.0006292684131898789 ll= -3.6509267795213503\n", "943000 [1. 0.78588397 0.26156857 0.4509195 0.23490932 0.11337576\n", " 0.15570474 0.09477251 0.59690953 0.37956517 0.4059773 ] MSE = 0.0006337599596419499 ll= -7.836403705045756\n", "943100 [1. 0.78590668 0.26164687 0.45097243 0.23499046 0.11337964\n", " 0.15568823 0.09476776 0.59693849 0.37963097 0.4060403 ] MSE = 0.0006397140743113581 ll= -7.226790328558201\n", "943200 [1. 0.78592938 0.26172516 0.45103064 0.23507157 0.11342169\n", " 0.15569611 0.09476938 0.59694412 0.37968614 0.40609691] MSE = 0.0006451313915354849 ll= -7.160839857307233\n", "943300 [1. 0.78595208 0.26180344 0.45108885 0.23515267 0.11348707\n", " 0.15570505 0.09483779 0.59696777 0.37965437 0.40606552] MSE = 0.0006459175609465461 ll= -6.876002934584567\n", "943400 [1. 0.78597477 0.26188169 0.45114704 0.23523375 0.11357256\n", " 0.15570656 0.09492314 0.59699353 0.37964592 0.4060458 ] MSE = 0.0006480740824374729 ll= -8.241343095576966\n", "943500 [1. 0.78599746 0.26195993 0.45120522 0.23531482 0.11357219\n", " 0.15570384 0.09491732 0.59700233 0.3796555 0.40605682] MSE = 0.0006505337385353947 ll= -5.2014585555892605\n", "943600 [1. 0.78602014 0.26203816 0.45126338 0.23539587 0.11358347\n", " 0.15572443 0.09492422 0.59703127 0.37962268 0.40601378] MSE = 0.0006504579902406729 ll= -10.399752170551686\n", "943700 [1. 0.78604281 0.26211636 0.45131942 0.2354769 0.11363078\n", " 0.15571217 0.09494913 0.59705596 0.37958563 0.40597499] MSE = 0.0006506152374963079 ll= -5.20673988131445\n", "943800 [1. 0.78606549 0.26219455 0.45137756 0.23555473 0.11364311\n", " 0.15571898 0.09494861 0.59708912 0.37954541 0.40593197] MSE = 0.0006503792008527859 ll= -8.168067222011958\n", "943900 [1. 0.78608815 0.26227273 0.45143569 0.23563573 0.11373702\n", " 0.15572155 0.0950445 0.5970979 0.37954439 0.40593982] MSE = 0.0006537371793533476 ll= -8.047136337635045\n", "944000 [1. 0.78611082 0.26235088 0.4514938 0.23571671 0.11378006\n", " 0.15573154 0.09505986 0.59711622 0.37956987 0.40597415] MSE = 0.0006581103414726632 ll= -6.318793768802451\n", "944100 [1. 0.78613347 0.26242903 0.45155191 0.23579767 0.11387288\n", " 0.15574894 0.09515572 0.59713347 0.37963453 0.40603708] MSE = 0.0006654715020234838 ll= -6.951127962328832\n", "944200 [1. 0.78615613 0.26250715 0.45161 0.23587861 0.11396674\n", " 0.15575892 0.09525156 0.59716344 0.37969601 0.40609999] MSE = 0.0006730064768114498 ll= -11.713870759087003\n", "944300 [1. 0.78617878 0.26258526 0.45166172 0.23595954 0.1139875\n", " 0.15575725 0.09525101 0.59718704 0.37968333 0.40608558] MSE = 0.0006745455923588873 ll= -7.740459596953239\n", "944400 [1. 0.78620142 0.26266335 0.45171979 0.23604045 0.11408133\n", " 0.15575029 0.09532776 0.59721169 0.37965159 0.40604363] MSE = 0.0006757257333513478 ll= -7.162310808362527\n", "944500 [1. 0.78622406 0.26268848 0.45174926 0.2360557 0.11408407\n", " 0.15573909 0.09531766 0.59724693 0.37969399 0.4060557 ] MSE = 0.0006787598879202854 ll= -5.169318552254264\n", "944600 [1. 0.78619058 0.26266067 0.45171837 0.2360307 0.114072\n", " 0.1557226 0.09530757 0.59722816 0.37965379 0.40601271] MSE = 0.0006745233014187068 ll= -1.5059712919558215\n", "944700 [1. 0.78618569 0.26263286 0.45172136 0.23600572 0.11405992\n", " 0.15571459 0.09529748 0.5972221 0.37964324 0.4060036 ] MSE = 0.0006732451057411117 ll= -6.731318484408509\n", "944800 [1. 0.78620832 0.26260506 0.45171695 0.23598073 0.11404785\n", " 0.1557341 0.09528951 0.5972478 0.3796782 0.40604319] MSE = 0.000675789202061682 ll= -5.607961322603771\n", "944900 [1. 0.78623095 0.26257727 0.45175593 0.23595576 0.11403577\n", " 0.15573561 0.09527942 0.5972682 0.37964649 0.40600339] MSE = 0.0006740574802365409 ll= -5.872029504080186\n", "945000 [1. 0.78614774 0.26254948 0.45170812 0.23593079 0.11402371\n", " 0.15571912 0.09526934 0.597205 0.37960631 0.40596042] MSE = 0.0006682604862196088 ll= -1.5059712919558215\n", "945100 [1. 0.78606561 0.26252169 0.45166032 0.23590582 0.11401164\n", " 0.15570265 0.09525926 0.5971418 0.37956614 0.40591746] MSE = 0.0006625177512863584 ll= -1.5059712919558215\n", "945200 [1. 0.78602053 0.26249392 0.45161359 0.23588086 0.11399958\n", " 0.15570098 0.09524918 0.59710824 0.37952598 0.40587451] MSE = 0.0006578238272209544 ll= -5.2571234886255445\n", "945300 [1. 0.78604317 0.26246614 0.45161342 0.2358559 0.11398752\n", " 0.15570355 0.0952391 0.59711913 0.37950592 0.40586014] MSE = 0.0006567632841905347 ll= -5.079030866291006\n", "945400 [1. 0.7860658 0.26243838 0.45161536 0.23583095 0.11397546\n", " 0.15569343 0.09522903 0.59715963 0.37951867 0.40585846] MSE = 0.000657537601516137 ll= -6.515125543280758\n", "945500 [1. 0.78608843 0.26241062 0.45160567 0.23580601 0.1139634\n", " 0.15572562 0.09522001 0.59719484 0.37955997 0.40590967] MSE = 0.0006607373544057821 ll= -4.1026048671140565\n", "945600 [1. 0.78611105 0.26238287 0.45159175 0.23578107 0.11395135\n", " 0.15570915 0.09520994 0.59720783 0.37959704 0.40596087] MSE = 0.0006633946761689486 ll= -6.8486196520104645\n", "945700 [1. 0.78613367 0.26241117 0.45163177 0.23581113 0.1139393\n", " 0.15572124 0.09519987 0.59722927 0.37965842 0.40602369] MSE = 0.0006685677169294205 ll= -4.490005437894476\n", "945800 [1. 0.78615629 0.26248916 0.45168975 0.23589193 0.11393994\n", " 0.1557164 0.09519509 0.59724331 0.37968489 0.40606112] MSE = 0.0006727172636369877 ll= -10.442643743900103\n", "945900 [1. 0.7861789 0.26256714 0.45174667 0.23597272 0.11393424\n", " 0.15573483 0.095203 0.59726158 0.37970395 0.40608691] MSE = 0.0006764404275739881 ll= -7.3624261572431875\n", "946000 [1. 0.7862015 0.2626451 0.45180463 0.23605349 0.11398879\n", " 0.15571836 0.09525108 0.59729041 0.37976953 0.4061497 ] MSE = 0.0006835791290060219 ll= -5.079609805387001\n", "946100 [1. 0.7862241 0.26272304 0.45186258 0.23613425 0.11408245\n", " 0.15572199 0.09534672 0.59732875 0.37982875 0.40621247] MSE = 0.0006913403547296063 ll= -9.218242787193327\n", "946200 [1. 0.7862467 0.26280097 0.4519184 0.23621499 0.1141169\n", " 0.15572878 0.09535884 0.59735229 0.3798869 0.40627524] MSE = 0.0006979072262061975 ll= -4.5934881955406865\n", "946300 [1. 0.78626929 0.26287888 0.45197633 0.23629571 0.11410484\n", " 0.15573557 0.09534876 0.59737265 0.37992496 0.40632213] MSE = 0.0007029136168677522 ll= -8.8642754486526\n", "946400 [1. 0.78629187 0.26295361 0.45203424 0.23636479 0.11409701\n", " 0.15573602 0.09533869 0.59739195 0.37988693 0.40627919] MSE = 0.0007025442404916527 ll= -6.782667013779095\n", "946500 [1. 0.7863134 0.26292582 0.45203297 0.23633981 0.11408495\n", " 0.15578614 0.09535186 0.59742181 0.37988694 0.40627747] MSE = 0.000702949305091214 ll= -4.980785643897469\n", "946600 [1. 0.78627047 0.26289805 0.45200528 0.23631484 0.1140729\n", " 0.15576968 0.09534179 0.59738722 0.3798616 0.40623455] MSE = 0.0006987198155317122 ll= -6.0641521623023555\n", "946700 [1. 0.78624445 0.26287027 0.4519776 0.23628988 0.11406085\n", " 0.15579548 0.09533171 0.59736848 0.37982886 0.40619163] MSE = 0.0006948327862229383 ll= -1.5059712919558215\n", "946800 [1. 0.7861614 0.26284251 0.45192986 0.23626492 0.1140488\n", " 0.15577902 0.09532164 0.59730538 0.37978874 0.40614873] MSE = 0.0006889411993667824 ll= -1.5059712919558215\n", "946900 [1. 0.78609316 0.26281474 0.45189375 0.23623997 0.11403676\n", " 0.15576257 0.09531158 0.5972518 0.37974863 0.40610583] MSE = 0.0006835675257961482 ll= -6.240383660584923\n", "947000 [1. 0.78611575 0.26278699 0.45191572 0.23621502 0.11402471\n", " 0.15575246 0.09530151 0.59724258 0.37980251 0.40616327] MSE = 0.000686948223792133 ll= -6.290852845888345\n", "947100 [1. 0.786132 0.26275924 0.45188173 0.23619007 0.11401267\n", " 0.15573601 0.09529145 0.59724393 0.37978353 0.40616473] MSE = 0.0006857950851957332 ll= -5.169092877166418\n", "947200 [1. 0.78609756 0.2627315 0.45185303 0.23616514 0.11400063\n", " 0.15573224 0.09528139 0.59721254 0.37974343 0.40612185] MSE = 0.0006813722614708498 ll= -6.929657116214622\n", "947300 [1. 0.78612014 0.26270376 0.45186761 0.2361402 0.1139886\n", " 0.1557443 0.09527872 0.59723184 0.37970334 0.40607897] MSE = 0.0006790778849423181 ll= -7.83511846418621\n", "947400 [1. 0.78613744 0.26267603 0.45185897 0.23611527 0.11397656\n", " 0.15575108 0.09526866 0.59723952 0.37973187 0.40612478] MSE = 0.0006812068380986476 ll= -1.5059712919558215\n", "947500 [1. 0.78614946 0.2626483 0.45181761 0.23609035 0.11396453\n", " 0.15573886 0.0952586 0.5972377 0.3797794 0.40617374] MSE = 0.0006834621948447047 ll= -5.223027199787014\n", "947600 [1. 0.78617203 0.26262058 0.45181847 0.23606544 0.11395251\n", " 0.15574354 0.09524855 0.59724116 0.37984169 0.40623641] MSE = 0.0006873016917293814 ll= -3.468986451068656\n", "947700 [1. 0.7861946 0.26259287 0.45180139 0.23604052 0.11394048\n", " 0.15573132 0.0952385 0.597271 0.37990186 0.40629907] MSE = 0.0006912980352416269 ll= -2.4435851329139022\n", "947800 [1. 0.78621716 0.26257254 0.45182336 0.23601562 0.11392846\n", " 0.15574971 0.09522845 0.59728817 0.37989237 0.4062868 ] MSE = 0.0006909769845198186 ll= -6.466263360891175\n", "947900 [1. 0.78614687 0.26254484 0.45177675 0.23599072 0.11391644\n", " 0.1557375 0.0952184 0.59723359 0.37985229 0.40624393] MSE = 0.0006854785798198187 ll= -1.5059712919558215\n", "948000 [1. 0.78610402 0.26251714 0.45172909 0.23596582 0.11390442\n", " 0.15572318 0.09520836 0.59718958 0.37981222 0.40620424] MSE = 0.000680672962826112 ll= -6.892422742675053\n", "948100 [1. 0.78612658 0.26249156 0.45173101 0.23594093 0.11389241\n", " 0.15577215 0.09519831 0.59718987 0.37983544 0.40623207] MSE = 0.0006822238104434817 ll= -6.020949514043577\n", "948200 [1. 0.78614914 0.26246388 0.45173927 0.23591604 0.11388039\n", " 0.15577998 0.09518827 0.59717857 0.37989136 0.40629469] MSE = 0.0006857545816712344 ll= -4.912713086131911\n", "948300 [1. 0.78617169 0.2624383 0.45173592 0.23589116 0.11386838\n", " 0.15578043 0.09517823 0.59720207 0.37992618 0.40634043] MSE = 0.0006885081650279096 ll= -5.284547513000085\n", "948400 [1. 0.78619424 0.26241063 0.45174734 0.23586629 0.11385637\n", " 0.15576611 0.0951682 0.59721502 0.3799652 0.40640304] MSE = 0.0006919154292069821 ll= -6.493334926295535\n", "948500 [1. 0.78621679 0.26238612 0.4517229 0.23584142 0.11384437\n", " 0.15577077 0.09515816 0.59723745 0.38002214 0.40646563] MSE = 0.00069573039028207 ll= -6.528228688625201\n", "948600 [1. 0.78623933 0.26235846 0.45171007 0.23581655 0.11383237\n", " 0.15576489 0.09514813 0.59724829 0.38006537 0.4065282 ] MSE = 0.000699045873963886 ll= -4.523706495529721\n", "948700 [1. 0.78626186 0.2623308 0.4516888 0.23579169 0.11382037\n", " 0.1558054 0.09514021 0.59727388 0.38005587 0.406537 ] MSE = 0.0006991575674291641 ll= -5.223744633200566\n", "948800 [1. 0.78620112 0.26230315 0.45164119 0.23576684 0.11380837\n", " 0.15579424 0.09513018 0.59721935 0.38001581 0.40649415] MSE = 0.0006938005876541004 ll= -7.375854487020565\n", "948900 [1. 0.78622365 0.26227551 0.4516621 0.23574199 0.11379637\n", " 0.15583052 0.09513175 0.5972481 0.38006956 0.40654722] MSE = 0.0006978604341415009 ll= -3.699332425943822\n", "949000 [1. 0.78624618 0.26224787 0.45164928 0.23571715 0.11378438\n", " 0.1558141 0.09512172 0.59728106 0.38013489 0.40660976] MSE = 0.0007022092129506225 ll= -4.472382764464989\n", "949100 [1. 0.7862687 0.26222023 0.4516628 0.23569231 0.11377239\n", " 0.15582929 0.0951117 0.59729715 0.38019073 0.40667229] MSE = 0.0007063179664220888 ll= -4.933554680925569\n", "949200 [1. 0.78629122 0.2621926 0.45166263 0.23566747 0.1137604\n", " 0.15582973 0.09510168 0.59732905 0.38022864 0.40671162] MSE = 0.0007091921240370301 ll= -5.26591553525114\n", "949300 [1. 0.78622314 0.26216498 0.45161504 0.23564265 0.11374842\n", " 0.15581332 0.09509166 0.59726928 0.38018858 0.40666877] MSE = 0.0007036175716491834 ll= -1.5059712919558215\n", "949400 [1. 0.7861814 0.26213736 0.45157168 0.23561782 0.11373644\n", " 0.15581586 0.09509955 0.59723164 0.38014853 0.40662593] MSE = 0.0006989993211318664 ll= -1.5059712919558215\n", "949500 [1. 0.78612703 0.26210975 0.45152412 0.23559301 0.11372446\n", " 0.15579945 0.09508953 0.59718348 0.38010849 0.40658311] MSE = 0.0006938615227188051 ll= -6.249273911868586\n", "949600 [1. 0.78614955 0.26214745 0.45155661 0.23563349 0.11371669\n", " 0.15579989 0.09507952 0.59721748 0.38013797 0.40661085] MSE = 0.0006972292011226497 ll= -10.892754270375445\n", "949700 [1. 0.78617207 0.26222515 0.45161436 0.23571398 0.11370472\n", " 0.1558056 0.0950695 0.59723568 0.38019377 0.40667334] MSE = 0.0007030949427853262 ll= -9.62682813094606\n", "949800 [1. 0.78619459 0.26230283 0.45167105 0.23579446 0.11369275\n", " 0.1557913 0.09505949 0.5972486 0.38016742 0.40664526] MSE = 0.0007032745823337514 ll= -10.339241830355709\n", "949900 [1. 0.7862171 0.2623805 0.45172352 0.23586123 0.11368499\n", " 0.1557749 0.09504948 0.59725732 0.38019583 0.40666772] MSE = 0.0007067089870424657 ll= -9.770131246165018\n", "950000 [1. 0.7862396 0.26235288 0.45174545 0.2358364 0.11367302\n", " 0.15583009 0.09503948 0.59726182 0.38017265 0.40665123] MSE = 0.000705643322501516 ll= -10.473048183201017\n", "950100 [1. 0.78626211 0.26233263 0.45174 0.23581158 0.11366211\n", " 0.15581684 0.09502947 0.59728526 0.38022421 0.4067 ] MSE = 0.0007090983792243754 ll= -4.1361418816382844\n", "950200 [1. 0.7862846 0.26230502 0.45174297 0.23578676 0.11365014\n", " 0.15581939 0.09501947 0.59730449 0.38027787 0.40676245] MSE = 0.0007130859287705813 ll= -3.736179304552814\n", "950300 [1. 0.78629657 0.26227742 0.45175016 0.23576194 0.11363818\n", " 0.15582193 0.09500947 0.59731425 0.38030099 0.40678489] MSE = 0.0007145078356268764 ll= -1.5059712919558215\n", "950400 [1. 0.78621593 0.26224982 0.45170262 0.23573714 0.11362622\n", " 0.15580554 0.09499947 0.59725139 0.38026097 0.40674208] MSE = 0.0007086746545852186 ll= -6.068601444278097\n", "950500 [1. 0.78616898 0.26222222 0.45165509 0.23571233 0.11361427\n", " 0.15578914 0.09498948 0.59720539 0.38022096 0.40670034] MSE = 0.0007036759206322462 ll= -1.5059712919558215\n", "950600 [1. 0.78618937 0.26226512 0.45168332 0.23573908 0.11360757\n", " 0.1557738 0.09497948 0.59721305 0.3802262 0.40673751] MSE = 0.000706101779792993 ll= -5.596112666426196\n", "950700 [1. 0.78621187 0.26234273 0.45173995 0.23581948 0.11361561\n", " 0.15576899 0.0949737 0.59722596 0.38029034 0.40679992] MSE = 0.0007123297961856975 ll= -4.709320256768731\n", "950800 [1. 0.78623435 0.26242032 0.45177553 0.23586936 0.11370885\n", " 0.15575681 0.0950689 0.5972515 0.38030083 0.40681393] MSE = 0.0007161556932208282 ll= -6.4863987334249416\n", "950900 [1. 0.78625684 0.2624979 0.45182899 0.23594342 0.11380206\n", " 0.15574148 0.09516407 0.59726862 0.38029659 0.40681216] MSE = 0.0007192673278297358 ll= -6.6479575685161665\n", "951000 [1. 0.78627931 0.26257545 0.45188663 0.23602377 0.11382375\n", " 0.15573246 0.09517194 0.59726049 0.38029446 0.4068167 ] MSE = 0.0007214099089646315 ll= -6.319229261926521\n", "951100 [1. 0.78630179 0.262653 0.45194322 0.2361041 0.11383176\n", " 0.15572135 0.0951756 0.59726288 0.38035962 0.40687907] MSE = 0.0007277147366905805 ll= -7.898993640781391\n", "951200 [1. 0.78632426 0.26273052 0.45199979 0.23618442 0.11385238\n", " 0.15570708 0.09517401 0.5972842 0.38032594 0.40684471] MSE = 0.0007279542994188671 ll= -5.208629196179722\n", "951300 [1. 0.78634672 0.26280803 0.4520574 0.23626472 0.11387931\n", " 0.15573276 0.09518398 0.59728028 0.38028595 0.40681034] MSE = 0.0007278275646921836 ll= -6.596494390687365\n", "951400 [1. 0.78636918 0.26288553 0.452115 0.236345 0.11386944\n", " 0.15575633 0.09517397 0.59728372 0.38024703 0.40676758] MSE = 0.000727253109861713 ll= -6.820916484028594\n", "951500 [1. 0.78639163 0.26293252 0.45215052 0.23639479 0.11387639\n", " 0.15579041 0.09519235 0.59731448 0.38022598 0.40674795] MSE = 0.0007280781825744092 ll= -7.372390690986227\n", "951600 [1. 0.78635733 0.26290489 0.45211876 0.23636994 0.11386442\n", " 0.15579191 0.09518234 0.59727168 0.38018602 0.4067052 ] MSE = 0.0007233336776871369 ll= -6.234333481838112\n", "951700 [1. 0.78633249 0.26287726 0.45210383 0.2363451 0.11385246\n", " 0.15579445 0.09517234 0.59723834 0.38014607 0.40666246] MSE = 0.0007190709172553002 ll= -1.5059712919558215\n", "951800 [1. 0.78624987 0.26284964 0.45205632 0.23632027 0.1138405\n", " 0.15577808 0.09516234 0.59717558 0.38010613 0.40661973] MSE = 0.0007131369863719443 ll= -1.5059712919558215\n", "951900 [1. 0.78616831 0.26282202 0.45200883 0.23629544 0.11382854\n", " 0.15576171 0.09515234 0.59711284 0.38006619 0.40657701] MSE = 0.0007072569444931637 ll= -1.5059712919558215\n", "952000 [1. 0.78614035 0.26279441 0.45196344 0.23627062 0.11381658\n", " 0.15575796 0.09514235 0.59709528 0.38003467 0.4065343 ] MSE = 0.0007031795057735607 ll= -1.5059712919558215\n", "952100 [1. 0.78605987 0.26276681 0.45191597 0.2362458 0.11380462\n", " 0.1557416 0.09513235 0.59703256 0.37999475 0.4064916 ] MSE = 0.0006973743892786533 ll= -1.5059712919558215\n", "952200 [1. 0.78597731 0.26273921 0.4518685 0.23622099 0.11379267\n", " 0.15572524 0.09512236 0.59696986 0.37995484 0.4064489 ] MSE = 0.0006915752542309182 ll= -1.5059712919558215\n", "952300 [1. 0.78595673 0.26271897 0.4518389 0.23619618 0.11378072\n", " 0.15570993 0.09511237 0.59695127 0.37992544 0.40640622] MSE = 0.0006879054164091545 ll= -1.5059712919558215\n", "952400 [1. 0.78590045 0.26269138 0.4518093 0.23617137 0.11376877\n", " 0.15569358 0.09510238 0.59690329 0.37988554 0.40636354] MSE = 0.0006829306479957479 ll= -7.020158729485738\n", "952500 [1. 0.78592293 0.26266905 0.45179546 0.23614658 0.11375682\n", " 0.15569089 0.0950924 0.59692146 0.3799328 0.40641432] MSE = 0.0006860346711549889 ll= -7.051650528937515\n", "952600 [1. 0.78594541 0.26264147 0.45178268 0.23612178 0.11374488\n", " 0.15569869 0.09508241 0.59693963 0.37999685 0.40647664] MSE = 0.0006900408863379265 ll= -4.320226832179065\n", "952700 [1. 0.78596788 0.2626139 0.45179404 0.236097 0.11373294\n", " 0.15569914 0.09507243 0.59697145 0.38005144 0.40653475] MSE = 0.000694057318921113 ll= -8.457377283407963\n", "952800 [1. 0.78599034 0.26259788 0.451797 0.23607956 0.113721\n", " 0.15573738 0.09506245 0.59698961 0.38005458 0.40653826] MSE = 0.0006945651825548418 ll= -5.7991999284037465\n", "952900 [1. 0.7860128 0.26267527 0.45185348 0.23615974 0.11371537\n", " 0.15574727 0.09505248 0.59700777 0.38004303 0.40651029] MSE = 0.0006954722310335476 ll= -8.850964136713202\n", "953000 [1. 0.78603526 0.26275265 0.45191101 0.2362399 0.11374016\n", " 0.15575296 0.09505195 0.59701753 0.38000315 0.40646763] MSE = 0.0006951547888940454 ll= -13.512131637183133\n", "953100 [1. 0.78605771 0.26283001 0.45196852 0.23632004 0.11383316\n", " 0.1557639 0.09514376 0.59705247 0.3799958 0.40642497] MSE = 0.0006972757360027238 ll= -10.682767374626948\n", "953200 [1. 0.78608016 0.26290735 0.45202602 0.23640017 0.11387472\n", " 0.15576959 0.0951621 0.59704753 0.37998636 0.40642115] MSE = 0.0006992775581362219 ll= -3.5067566563408845\n", "953300 [1. 0.7861026 0.26298468 0.45206987 0.23648028 0.11387956\n", " 0.15578787 0.09515736 0.59704469 0.38002413 0.40646664] MSE = 0.0007039470715133884 ll= -11.55340479467572\n", "953400 [1. 0.78612504 0.263062 0.4521242 0.23656037 0.11388335\n", " 0.15581349 0.09514738 0.59702822 0.37998427 0.406424 ] MSE = 0.0007031998748941029 ll= -7.585663221486378\n", "953500 [1. 0.78614747 0.26313929 0.45218167 0.2366373 0.11387141\n", " 0.15580868 0.0951374 0.59706 0.38001573 0.40647053] MSE = 0.0007082318916580956 ll= -6.228772079108323\n", "953600 [1. 0.7861699 0.26321657 0.45223912 0.23671736 0.11387729\n", " 0.15583115 0.09513582 0.59706135 0.38004195 0.40649397] MSE = 0.0007121459996406836 ll= -8.953106726968393\n", "953700 [1. 0.78619232 0.26329383 0.45229341 0.23678901 0.11388947\n", " 0.15583054 0.09512584 0.59707005 0.38005138 0.40651426] MSE = 0.0007154082576131832 ll= -10.445233686561803\n", "953800 [1. 0.78621474 0.26326937 0.45227325 0.23676418 0.11387753\n", " 0.15582573 0.09511586 0.59708609 0.3800734 0.40654923] MSE = 0.0007170568535038837 ll= -7.08306094189493\n", "953900 [1. 0.78614489 0.26324177 0.45223212 0.23673936 0.11386559\n", " 0.15581254 0.09510589 0.59702978 0.38003355 0.40650661] MSE = 0.0007114836126881022 ll= -1.5059712919558215\n", "954000 [1. 0.78606248 0.26321417 0.45218472 0.23671454 0.11385365\n", " 0.15579621 0.09509592 0.59696719 0.37999371 0.40646399] MSE = 0.0007055920078748176 ll= -1.5059712919558215\n", "954100 [1. 0.78598323 0.26318658 0.45213732 0.23668973 0.11384172\n", " 0.15577987 0.09508595 0.59690461 0.37995388 0.40642138] MSE = 0.0006997847965898821 ll= -5.828120444638553\n", "954200 [1. 0.78590609 0.263159 0.45208993 0.23666492 0.11382979\n", " 0.15576355 0.09507599 0.59684205 0.37991406 0.40637879] MSE = 0.0006940450458918755 ll= -1.5059712919558215\n", "954300 [1. 0.78586774 0.26313142 0.45205617 0.23664012 0.11381786\n", " 0.15575875 0.09506602 0.59680465 0.37988786 0.40635192] MSE = 0.0006903482532899578 ll= -1.5059712919558215\n", "954400 [1. 0.78581578 0.26310385 0.45202976 0.23661532 0.11380593\n", " 0.15574243 0.09505606 0.5967725 0.37985539 0.40632086] MSE = 0.000686273040745988 ll= -4.948785450673782\n", "954500 [1. 0.78583822 0.26309409 0.45202431 0.23659053 0.11379401\n", " 0.15575021 0.0950461 0.59681056 0.37991513 0.40637259] MSE = 0.0006901978048709665 ll= -6.292755300167233\n", "954600 [1. 0.78586066 0.26306653 0.45201362 0.23656574 0.11378208\n", " 0.15577999 0.09504348 0.59682347 0.37997171 0.40643478] MSE = 0.0006939295607703385 ll= -7.597856885496405\n", "954700 [1. 0.78588309 0.2630484 0.45202912 0.23654096 0.11377017\n", " 0.15578253 0.09503352 0.59685208 0.38003038 0.40649696] MSE = 0.0006982166013748809 ll= -6.890528230858434\n", "954800 [1. 0.78590552 0.26307007 0.45206138 0.23655389 0.11375825\n", " 0.15577354 0.09502357 0.5968786 0.38004295 0.40649104] MSE = 0.0006995724879103553 ll= -6.81903225211463\n", "954900 [1. 0.78592794 0.26314726 0.45211772 0.23663385 0.11376414\n", " 0.15578132 0.09501362 0.59691663 0.38006494 0.40650607] MSE = 0.0007034586709993502 ll= -12.517395207682773\n", "955000 [1. 0.78595036 0.26322442 0.4521751 0.23671379 0.1137606\n", " 0.15579747 0.09500367 0.59692847 0.38005446 0.40650435] MSE = 0.0007054137899019327 ll= -7.076043352864931\n", "955100 [1. 0.78597277 0.26330157 0.45223246 0.23679372 0.11374869\n", " 0.15581675 0.09499372 0.59693822 0.38011204 0.40656649] MSE = 0.0007115758045475709 ll= -4.82817946878496\n", "955200 [1. 0.78599518 0.2633787 0.45228981 0.23686839 0.11377133\n", " 0.15580044 0.09498377 0.5969689 0.38009842 0.40653754] MSE = 0.0007129008252738031 ll= -11.470685264323048\n", "955300 [1. 0.78601759 0.26345582 0.45234715 0.23694619 0.11384527\n", " 0.15580925 0.09504816 0.59698388 0.38006281 0.40649497] MSE = 0.0007137558419047343 ll= -9.795189261419594\n", "955400 [1. 0.78603999 0.26353292 0.45240448 0.23702607 0.11392442\n", " 0.15579294 0.09511881 0.59699361 0.38008688 0.40652151] MSE = 0.000718803014354975 ll= -9.369374146192829\n", "955500 [1. 0.78606238 0.26361001 0.4524618 0.23710592 0.11391982\n", " 0.15580595 0.09510885 0.59701382 0.38010571 0.40652397] MSE = 0.0007220741331522054 ll= -6.618199121318727\n", "955600 [1. 0.78608477 0.26368707 0.45251596 0.2371617 0.11400209\n", " 0.15581162 0.09518472 0.59704553 0.38015071 0.40658189] MSE = 0.0007290370124878666 ll= -10.01708834990493\n", "955700 [1. 0.78610716 0.26376413 0.45256802 0.23723001 0.11409167\n", " 0.15581938 0.09526266 0.59705211 0.38016743 0.40659376] MSE = 0.0007334319236103409 ll= -4.545213219323337\n", "955800 [1. 0.78612954 0.26384116 0.4526253 0.23730983 0.11413205\n", " 0.15581773 0.09529141 0.59707335 0.38023229 0.40665585] MSE = 0.0007407857376061855 ll= -12.093014402452198\n", "955900 [1. 0.78615191 0.26391818 0.45268257 0.23738962 0.11413162\n", " 0.15586315 0.09530132 0.59710504 0.38028772 0.40671793] MSE = 0.0007477277839206324 ll= -6.7415813909207305\n", "956000 [1. 0.78617429 0.26399519 0.45273983 0.2374694 0.11413746\n", " 0.15585312 0.09529135 0.59713464 0.38034941 0.40678 ] MSE = 0.0007546938051541279 ll= -10.049263596434688\n", "956100 [1. 0.78619665 0.26407218 0.45279498 0.23754916 0.11416213\n", " 0.15584414 0.09528556 0.59716109 0.38040167 0.40684205] MSE = 0.0007614831382801406 ll= -9.647916300638283\n", "956200 [1. 0.78621901 0.26411882 0.4528292 0.23759126 0.11418366\n", " 0.15582784 0.0952756 0.59717289 0.38043092 0.40686225] MSE = 0.0007649395179443546 ll= -6.132717400698881\n", "956300 [1. 0.78620581 0.26409119 0.45278603 0.23756641 0.11417172\n", " 0.15581155 0.09526563 0.59715122 0.38039113 0.4068197 ] MSE = 0.0007605067345013698 ll= -1.5059712919558215\n", "956400 [1. 0.78612988 0.26406358 0.45274077 0.23754157 0.11415978\n", " 0.15579525 0.09525567 0.59709192 0.38035135 0.40677716] MSE = 0.0007545589545015243 ll= -1.5059712919558215\n", "956500 [1. 0.786078 0.26403597 0.45270598 0.23751673 0.11414785\n", " 0.15578733 0.09524571 0.59705981 0.38031159 0.40673463] MSE = 0.0007495331495536972 ll= -4.408774867299583\n", "956600 [1. 0.78610037 0.26410455 0.45275379 0.23758076 0.11418296\n", " 0.15578881 0.09523576 0.59708625 0.38027182 0.40669211] MSE = 0.0007495915749344516 ll= -6.573595430406246\n", "956700 [1. 0.78612273 0.26418148 0.452811 0.23766046 0.11420656\n", " 0.15577985 0.0952488 0.59710224 0.38027807 0.4066935 ] MSE = 0.0007529054360506831 ll= -2.396161003457814\n", "956800 [1. 0.78614508 0.26425839 0.45286506 0.23774015 0.11425525\n", " 0.15581478 0.09531619 0.59713076 0.38031567 0.40674506] MSE = 0.0007597023183908735 ll= -8.570718208168875\n", "956900 [1. 0.78616743 0.26433528 0.45292224 0.23781982 0.11434156\n", " 0.15582462 0.09539925 0.59716033 0.38028846 0.40672136] MSE = 0.0007623453274594218 ll= -7.17515866302886\n", "957000 [1. 0.78618978 0.26437245 0.45295747 0.23785662 0.11435991\n", " 0.15582611 0.09539973 0.5971972 0.38025081 0.40667886] MSE = 0.0007619484465850701 ll= -6.332958465712886\n", "957100 [1. 0.78614316 0.26434483 0.45291014 0.23783177 0.11434796\n", " 0.15581087 0.09538976 0.59715987 0.38022257 0.40664054] MSE = 0.0007572151772260484 ll= -1.5059712919558215\n", "957200 [1. 0.78607042 0.26431721 0.45286281 0.23780692 0.11433602\n", " 0.15579459 0.09537979 0.59709748 0.38018284 0.40659806] MSE = 0.000751241085926389 ll= -1.5059712919558215\n", "957300 [1. 0.7860374 0.26428959 0.45281864 0.23778207 0.11432407\n", " 0.15577831 0.09536983 0.59706435 0.38014313 0.40655558] MSE = 0.0007463569897395897 ll= -5.805045082280333\n", "957400 [1. 0.78602841 0.26426199 0.45278805 0.23775723 0.11431213\n", " 0.1557892 0.09535987 0.59705839 0.38010342 0.40651311] MSE = 0.0007424374534835676 ll= -5.85990210274831\n", "957500 [1. 0.78595989 0.26423438 0.45274389 0.2377324 0.11430019\n", " 0.15577293 0.09534991 0.59699916 0.38006371 0.40647378] MSE = 0.0007367861468157578 ll= -5.822513937133343\n", "957600 [1. 0.78596136 0.26420679 0.45275718 0.23770757 0.11428825\n", " 0.15577755 0.09533995 0.5969577 0.38003238 0.40648668] MSE = 0.0007351357301181398 ll= -9.278476715951696\n", "957700 [1. 0.78598371 0.2641792 0.45273287 0.23768275 0.11427632\n", " 0.15580096 0.09532999 0.59697577 0.38007937 0.40654866] MSE = 0.00073830581748635 ll= -6.7098865491186555\n", "957800 [1. 0.78600606 0.26415161 0.45274825 0.23765793 0.11426438\n", " 0.15578782 0.09532004 0.59699593 0.38013365 0.40661063] MSE = 0.000742164684586354 ll= -4.721218547011421\n", "957900 [1. 0.7860284 0.26412403 0.45273544 0.23763312 0.11425245\n", " 0.15579349 0.09531009 0.59700877 0.38019733 0.40667258] MSE = 0.0007459251260787899 ll= -5.748768375065463\n", "958000 [1. 0.78605074 0.26409646 0.45270696 0.23760831 0.11424053\n", " 0.15581376 0.09530744 0.59703936 0.3802422 0.40671886] MSE = 0.0007487397463653643 ll= -5.595212420974917\n", "958100 [1. 0.78607307 0.26406889 0.45268267 0.23758351 0.1142286\n", " 0.15580376 0.09529749 0.59707098 0.38025678 0.40669729] MSE = 0.0007482958379090919 ll= -6.640259019140244\n", "958200 [1. 0.7860954 0.26404133 0.45269283 0.23755871 0.11421668\n", " 0.15580211 0.09528755 0.59710469 0.38025885 0.40669763] MSE = 0.0007486426683812064 ll= -4.905241045945051\n", "958300 [1. 0.78611772 0.26401482 0.4526675 0.23753392 0.11420476\n", " 0.15582238 0.0952776 0.59712169 0.38031622 0.40675955] MSE = 0.0007521980154430849 ll= -5.1039006237415725\n", "958400 [1. 0.78614004 0.26398727 0.45265992 0.23750913 0.11419284\n", " 0.15580611 0.09526766 0.59714807 0.3803141 0.40677971] MSE = 0.0007527671394170739 ll= -4.7344192964067\n", "958500 [1. 0.78616235 0.26397642 0.4526826 0.23748435 0.11418406\n", " 0.15582638 0.09525772 0.59716402 0.38035997 0.40682283] MSE = 0.0007560430163417876 ll= -4.008324761956043\n", "958600 [1. 0.78618466 0.26394888 0.4526531 0.23745957 0.11417214\n", " 0.15584038 0.09525404 0.59718936 0.38041836 0.40688367] MSE = 0.0007597419805537786 ll= -4.800014339435817\n", "958700 [1. 0.78620697 0.26400897 0.45269351 0.2374661 0.11422491\n", " 0.15584081 0.09528688 0.59720843 0.38047987 0.40694555] MSE = 0.0007660798255744113 ll= -11.524580830789075\n", "958800 [1. 0.78622927 0.26408574 0.4527506 0.23753625 0.1143173\n", " 0.15584854 0.09538125 0.59722541 0.3805278 0.40699906] MSE = 0.0007734651054321202 ll= -5.383093947224855\n", "958900 [1. 0.78625156 0.26416249 0.45280768 0.23759491 0.11440968\n", " 0.15585106 0.09547559 0.5972622 0.38056842 0.40702649] MSE = 0.0007799578995140966 ll= -10.760418162717608\n", "959000 [1. 0.78627386 0.26423923 0.45285118 0.23764313 0.11445406\n", " 0.1558515 0.09548649 0.59729065 0.38059026 0.40703932] MSE = 0.000784019307972757 ll= -9.030982625017797\n", "959100 [1. 0.78629614 0.26431595 0.45290824 0.23772263 0.11450261\n", " 0.15588425 0.09550991 0.59731595 0.38060792 0.40704588] MSE = 0.0007883938375955336 ll= -12.254720968721099\n", "959200 [1. 0.78631842 0.26439266 0.45296528 0.23780211 0.11452403\n", " 0.15588885 0.09553227 0.59734751 0.38065895 0.40710771] MSE = 0.0007956527690522093 ll= -5.273365247217177\n", "959300 [1. 0.7863407 0.26446935 0.45302231 0.23788157 0.11460488\n", " 0.15591847 0.0956151 0.59737281 0.38070892 0.40716952] MSE = 0.0008037639124730696 ll= -5.591716911323953\n", "959400 [1. 0.78636297 0.26454602 0.45307933 0.23796101 0.1146117\n", " 0.15591056 0.09560513 0.59740227 0.38074638 0.40720838] MSE = 0.0008094679139554591 ll= -6.94135014819848\n", "959500 [1. 0.78638524 0.26460288 0.45311966 0.2380196 0.11466542\n", " 0.15589431 0.09564832 0.59742652 0.38070982 0.40716594] MSE = 0.0008100072216865822 ll= -5.819814076156442\n", "959600 [1. 0.7864075 0.2645753 0.45311829 0.23799479 0.11465347\n", " 0.15590724 0.09563835 0.59745076 0.38071287 0.40717561] MSE = 0.000810421188724286 ll= -3.660397041101617\n", "959700 [1. 0.78642976 0.26454877 0.45312109 0.23796999 0.11464152\n", " 0.15594623 0.09564714 0.59747395 0.38077324 0.40723739] MSE = 0.000814746221646767 ll= -7.0807174320584645\n", "959800 [1. 0.78645202 0.2645212 0.45311243 0.23794519 0.11462957\n", " 0.15593415 0.09563718 0.59749297 0.38080859 0.4072804 ] MSE = 0.0008171734799735735 ll= -4.619616911832258\n", "959900 [1. 0.78647427 0.26449364 0.45311836 0.2379204 0.11461763\n", " 0.15592519 0.09562721 0.5975099 0.38085955 0.40734215] MSE = 0.0008209286744706558 ll= -6.575023538028624\n", "960000 [1. 0.78646317 0.26447234 0.45311178 0.23789561 0.11460569\n", " 0.15591832 0.09561725 0.59748828 0.38085321 0.40734452] MSE = 0.0008195374063476799 ll= -1.5059712919558215\n", "960100 [1. 0.78645729 0.26444479 0.45311042 0.23787083 0.11459375\n", " 0.15592396 0.09560729 0.5974875 0.38084687 0.40730208] MSE = 0.0008170064302517339 ll= -6.987905365565436\n", "960200 [1. 0.78645245 0.26441725 0.45307572 0.23784606 0.11458181\n", " 0.15591918 0.09559733 0.59749609 0.38080721 0.40725966] MSE = 0.0008131373146228252 ll= -1.5059712919558215\n", "960300 [1. 0.78638513 0.26438971 0.45303062 0.23782129 0.11456988\n", " 0.15590294 0.09558738 0.59743908 0.38076755 0.40721725] MSE = 0.0008071443512405109 ll= -1.5059712919558215\n", "960400 [1. 0.78630428 0.26436218 0.45298344 0.23779652 0.11455795\n", " 0.1558867 0.09557742 0.59737686 0.3807279 0.40717484] MSE = 0.000800868421356699 ll= -1.5059712919558215\n", "960500 [1. 0.78627447 0.26433465 0.45293628 0.23777176 0.11454602\n", " 0.15587672 0.09556747 0.59736152 0.380707 0.40713453] MSE = 0.000796808801845491 ll= -1.5059712919558215\n", "960600 [1. 0.78620614 0.26430713 0.45290057 0.23774701 0.1145341\n", " 0.15586153 0.09555752 0.59729932 0.38066736 0.40709214] MSE = 0.0007909192741898688 ll= -6.408361265548061\n", "960700 [1. 0.78619509 0.26427962 0.45286279 0.23772226 0.11452217\n", " 0.15585259 0.09554966 0.59728087 0.38062773 0.40704976] MSE = 0.0007865885502870685 ll= -1.5059712919558215\n", "960800 [1. 0.78613927 0.26425211 0.45282294 0.23769751 0.11451025\n", " 0.15583949 0.09553971 0.59723847 0.38058811 0.40700843] MSE = 0.0007812222072682516 ll= -8.710748500345519\n", "960900 [1. 0.78616153 0.2642246 0.4528164 0.23767277 0.11449833\n", " 0.15584305 0.09552977 0.59727935 0.38061719 0.40704205] MSE = 0.0007834886920108893 ll= -7.381714418700217\n", "961000 [1. 0.78618379 0.26428869 0.45287335 0.23770736 0.11448954\n", " 0.1558466 0.09551983 0.59729316 0.380665 0.40709335] MSE = 0.000788883434411124 ll= -7.3626380009161\n", "961100 [1. 0.78620604 0.26436524 0.45293028 0.23778668 0.11456191\n", " 0.15583663 0.09558897 0.59732362 0.38067014 0.40709261] MSE = 0.0007931756744477922 ll= -7.395282109543885\n", "961200 [1. 0.78622828 0.26444179 0.45298512 0.23786599 0.11465404\n", " 0.15584747 0.09568307 0.59734887 0.38066798 0.40709187] MSE = 0.0007975555839516652 ll= -8.637737482331591\n", "961300 [1. 0.78625052 0.26451831 0.45304203 0.23794528 0.11474615\n", " 0.15584998 0.09577715 0.59738244 0.38065543 0.40707449] MSE = 0.0008012342431198245 ll= -11.462714723099818\n", "961400 [1. 0.78627276 0.26459482 0.45307708 0.23796734 0.11483824\n", " 0.15585353 0.09586706 0.59741392 0.38063664 0.40703735] MSE = 0.0008030965182236451 ll= -13.679471243021435\n", "961500 [1. 0.78629499 0.26467131 0.45312773 0.23801643 0.11493031\n", " 0.15588621 0.0959611 0.59744643 0.38070106 0.40709902] MSE = 0.0008116933564331823 ll= -10.757470602883673\n", "961600 [1. 0.78631721 0.26474779 0.45317213 0.2380468 0.1149974\n", " 0.15589496 0.09601664 0.59746854 0.38070931 0.4071118 ] MSE = 0.0008158247203943877 ll= -11.006758285043823\n", "961700 [1. 0.78633943 0.26473794 0.45316972 0.23802309 0.11498544\n", " 0.15587978 0.09600666 0.59747088 0.38076643 0.4071693 ] MSE = 0.0008194243537156568 ll= -5.180361456307129\n", "961800 [1. 0.78636165 0.26471041 0.45316731 0.23799834 0.11497348\n", " 0.15589477 0.09600083 0.59745035 0.38079963 0.40720287] MSE = 0.0008209591911484168 ll= -4.381903211773043\n", "961900 [1. 0.786309 0.26468289 0.45312331 0.23797359 0.11496153\n", " 0.15587856 0.09599085 0.59739863 0.38076003 0.40716885] MSE = 0.0008155556563479631 ll= -4.605083210054476\n", "962000 [1. 0.78624181 0.26465537 0.4530762 0.23794885 0.11494958\n", " 0.15586236 0.09598087 0.59734692 0.38072045 0.40712652] MSE = 0.0008096273824815025 ll= -1.5059712919558215\n", "962100 [1. 0.78625468 0.26462786 0.45305301 0.23792412 0.11493763\n", " 0.15586279 0.09597089 0.5973763 0.3807131 0.40711954] MSE = 0.0008087561492200479 ll= -4.9005151063396655\n", "962200 [1. 0.78627689 0.26461387 0.45306725 0.23789939 0.11492568\n", " 0.15585074 0.09596092 0.59741399 0.38076915 0.40718117] MSE = 0.0008131671205501257 ll= -5.4330914561682135\n", "962300 [1. 0.78629911 0.2645874 0.45307213 0.23787466 0.11491374\n", " 0.15583662 0.09595095 0.59744959 0.38082415 0.40724278] MSE = 0.0008172848118804185 ll= -4.303982447088533\n", "962400 [1. 0.78632131 0.26455991 0.4530822 0.23784994 0.1149018\n", " 0.15582563 0.09594097 0.59746649 0.38088018 0.40730022] MSE = 0.0008210792748784771 ll= -6.235566710625225\n", "962500 [1. 0.78634352 0.26453242 0.45312032 0.23782523 0.11488986\n", " 0.15582814 0.0959414 0.59749584 0.3808884 0.40730673] MSE = 0.0008221970307169163 ll= -11.839953570559139\n", "962600 [1. 0.78634494 0.26450494 0.45311481 0.23780052 0.11487792\n", " 0.15583896 0.09595636 0.59749299 0.38088623 0.40730805] MSE = 0.0008215815007083824 ll= -1.5059712919558215\n", "962700 [1. 0.78628194 0.26447746 0.45307708 0.23777582 0.11486599\n", " 0.15582277 0.0959464 0.59743092 0.38084667 0.40726574] MSE = 0.0008156628220478654 ll= -1.5059712919558215\n", "962800 [1. 0.78629999 0.26445206 0.45304145 0.23775112 0.11485406\n", " 0.1558097 0.09593643 0.59744365 0.38087255 0.40729095] MSE = 0.0008166960496987739 ll= -5.763284281894492\n", "962900 [1. 0.78630661 0.26442459 0.45306398 0.23772642 0.11484213\n", " 0.15581845 0.09592646 0.59745222 0.38085688 0.40727877] MSE = 0.00081555213560181 ll= -6.563705484538177\n", "963000 [1. 0.7863288 0.26439713 0.45308339 0.23770173 0.1148302\n", " 0.15580746 0.0959165 0.59748364 0.38083705 0.40723647] MSE = 0.0008137603114622556 ll= -11.25246099683286\n", "963100 [1. 0.78634891 0.26436968 0.45307373 0.23767705 0.11481828\n", " 0.15579958 0.0959107 0.59750571 0.38084424 0.40723157] MSE = 0.0008136636381756352 ll= -1.5059712919558215\n", "963200 [1. 0.78630464 0.26434223 0.45303188 0.23765237 0.11480635\n", " 0.15581352 0.09590074 0.59745821 0.38080469 0.40718928] MSE = 0.0008082762274606173 ll= -5.371338406857767\n", "963300 [1. 0.78625208 0.26431478 0.45299938 0.2376277 0.11479444\n", " 0.15579734 0.09589078 0.59741902 0.38078073 0.40714701] MSE = 0.0008034903944135545 ll= -1.5059712919558215\n", "963400 [1. 0.78619537 0.26428735 0.45295443 0.23760303 0.11478252\n", " 0.15578117 0.09588083 0.59737154 0.3807412 0.40710474] MSE = 0.0007978818004965276 ll= -1.5059712919558215\n", "963500 [1. 0.78613868 0.26425991 0.45291883 0.23757837 0.1147706\n", " 0.155765 0.09587087 0.59732821 0.38070168 0.40706249] MSE = 0.0007924740326204925 ll= -1.5059712919558215\n", "963600 [1. 0.78607784 0.26423249 0.45288635 0.23755371 0.11475869\n", " 0.15574883 0.09586092 0.59727348 0.38066217 0.40702024] MSE = 0.0007868933490254427 ll= -1.5059712919558215\n", "963700 [1. 0.78603362 0.26420506 0.45285181 0.23752906 0.11474678\n", " 0.1557389 0.09585098 0.59723018 0.38062267 0.406978 ] MSE = 0.0007817404891273915 ll= -1.5059712919558215\n", "963800 [1. 0.78597178 0.26417765 0.45281312 0.23750441 0.11473488\n", " 0.15572274 0.09584103 0.59717339 0.38058317 0.40693784] MSE = 0.0007761623525180306 ll= -5.007289219888765\n", "963900 [1. 0.78590164 0.26415024 0.45276613 0.23747977 0.11472297\n", " 0.15570658 0.09583109 0.59711247 0.38054368 0.40689562] MSE = 0.0007702620785413784 ll= -1.5059712919558215\n", "964000 [1. 0.78591763 0.26412283 0.45276896 0.23745513 0.11471107\n", " 0.15572259 0.09582114 0.59712211 0.3805125 0.40687104] MSE = 0.00076816450569406 ll= -5.979499629846023\n", "964100 [1. 0.78593983 0.26410062 0.45279668 0.2374305 0.11469917\n", " 0.15571162 0.0958112 0.59714834 0.38047718 0.40682988] MSE = 0.0007660252354677105 ll= -10.12037027411469\n", "964200 [1. 0.78596204 0.26407323 0.45277461 0.23740587 0.11468727\n", " 0.15570377 0.09580127 0.59717872 0.38044601 0.40679598] MSE = 0.0007637107080240549 ll= -5.153253525288342\n", "964300 [1. 0.78598424 0.26404584 0.45278262 0.23738125 0.11467538\n", " 0.15568762 0.09579133 0.5971956 0.38048745 0.40685439] MSE = 0.0007669861355414384 ll= -9.585193639874472\n", "964400 [1. 0.78600332 0.26401846 0.45278648 0.23735663 0.11466349\n", " 0.15569429 0.09578243 0.59720212 0.3805071 0.40688064] MSE = 0.0007682681722055544 ll= -5.518997887403069\n", "964500 [1. 0.78593115 0.26399108 0.45274471 0.23733202 0.1146516\n", " 0.15567814 0.0957725 0.59714019 0.38046765 0.40683845] MSE = 0.0007624117392979704 ll= -1.5059712919558215\n", "964600 [1. 0.78586314 0.26396371 0.45269777 0.23730741 0.11463971\n", " 0.155662 0.09576257 0.59708554 0.3804282 0.40679627] MSE = 0.0007566956887993699 ll= -1.5059712919558215\n", "964700 [1. 0.78578167 0.26393635 0.45265084 0.23728281 0.11462783\n", " 0.15564586 0.09575264 0.59702364 0.38038876 0.40675409] MSE = 0.0007507105146513027 ll= -1.5059712919558215\n", "964800 [1. 0.78576863 0.26390899 0.45260703 0.23725821 0.11461594\n", " 0.15564735 0.09574375 0.59701358 0.38034933 0.40671193] MSE = 0.000746553396166088 ll= -7.895074090878705\n", "964900 [1. 0.7857131 0.26388163 0.45256012 0.23723362 0.11460406\n", " 0.15563122 0.09573383 0.59697243 0.38030991 0.40666978] MSE = 0.0007412921013727639 ll= -1.5059712919558215\n", "965000 [1. 0.78563167 0.26385429 0.45251321 0.23720904 0.11459219\n", " 0.15561509 0.09572391 0.59691056 0.38027049 0.40662763] MSE = 0.0007353922394313563 ll= -1.5059712919558215\n", "965100 [1. 0.78556995 0.26382694 0.45247254 0.23718446 0.11458031\n", " 0.15559896 0.09571399 0.59685389 0.38023109 0.40658549] MSE = 0.000729947041673602 ll= -5.894441455232557\n", "965200 [1. 0.78552689 0.26379961 0.4524298 0.23715988 0.11456844\n", " 0.15558284 0.09570407 0.59681587 0.38019169 0.40654336] MSE = 0.0007250303386042275 ll= -1.5059712919558215\n", "965300 [1. 0.7854455 0.26377228 0.45238293 0.23713531 0.11455657\n", " 0.15556672 0.09569416 0.59675404 0.3801523 0.40650124] MSE = 0.0007192269457367165 ll= -1.5059712919558215\n", "965400 [1. 0.78537553 0.26374495 0.45233606 0.23711074 0.1145447\n", " 0.15555061 0.09568424 0.59670154 0.38011292 0.40645913] MSE = 0.0007137449374221936 ll= -1.5059712919558215\n", "965500 [1. 0.78531697 0.26373524 0.45230889 0.23709343 0.11453284\n", " 0.15553449 0.09567433 0.59665527 0.38007354 0.40641703] MSE = 0.0007089685278561708 ll= -9.426501642117174\n", "965600 [1. 0.7853392 0.2637566 0.45230761 0.23710616 0.11452097\n", " 0.15552771 0.09566442 0.59667426 0.38003418 0.40638219] MSE = 0.0007072913940662051 ll= -5.292016493103327\n", "965700 [1. 0.78534693 0.26372929 0.45228666 0.23708161 0.11450911\n", " 0.15551885 0.09565452 0.59667978 0.38001139 0.40636599] MSE = 0.000705361357323098 ll= -1.5059712919558215\n", "965800 [1. 0.78532567 0.26370198 0.45225225 0.23705706 0.11449726\n", " 0.15550274 0.09564461 0.59665735 0.3800145 0.40637465] MSE = 0.0007041300417044304 ll= -3.357943809687127\n", "965900 [1. 0.7853479 0.26367467 0.45224374 0.23703251 0.1144854\n", " 0.1555001 0.09563471 0.59668876 0.38005488 0.40641023] MSE = 0.0007065641261877115 ll= -8.104603857736814\n", "966000 [1. 0.78537012 0.26364738 0.45223315 0.23700797 0.11447355\n", " 0.15549643 0.09562481 0.59672119 0.38011595 0.40646858] MSE = 0.0007104016216223399 ll= -8.16502974406427\n", "966100 [1. 0.78539234 0.26363251 0.45221739 0.23698551 0.1144617\n", " 0.15549172 0.09561491 0.59674017 0.38010145 0.40645445] MSE = 0.000709376432001938 ll= -4.026818298402816\n", "966200 [1. 0.78541455 0.26360729 0.45223683 0.23696098 0.11444985\n", " 0.15552324 0.09561743 0.59675706 0.38012732 0.40650347] MSE = 0.0007120720627862478 ll= -5.619449059498706\n", "966300 [1. 0.78540157 0.26358 0.45223453 0.23693645 0.114438\n", " 0.15550714 0.09560753 0.59672428 0.38008797 0.4064614 ] MSE = 0.0007081559191712667 ll= -7.204914125301904\n", "966400 [1. 0.78532857 0.26355273 0.45219394 0.23691193 0.11442616\n", " 0.15549105 0.09559764 0.59666977 0.38004864 0.40641933] MSE = 0.0007027334070866581 ll= -1.5059712919558215\n", "966500 [1. 0.78534768 0.26352546 0.45219785 0.23688742 0.11441432\n", " 0.1554822 0.09558775 0.5966577 0.38004656 0.40642074] MSE = 0.0007022271479665757 ll= -5.221916533636428\n", "966600 [1. 0.78527263 0.26349819 0.45215106 0.23686291 0.11440248\n", " 0.15546611 0.09557786 0.59659907 0.38000724 0.40637869] MSE = 0.0006966892486436585 ll= -1.5059712919558215\n", "966700 [1. 0.78522657 0.26347093 0.45210635 0.2368384 0.11439065\n", " 0.15545003 0.09556797 0.59656114 0.37999379 0.40636665] MSE = 0.0006936605547691102 ll= -5.189357956040188\n", "966800 [1. 0.78524878 0.26344367 0.45209269 0.2368139 0.11437881\n", " 0.15545361 0.09555808 0.59657908 0.38005276 0.40642805] MSE = 0.0006973107429826082 ll= -4.1531142255193085\n", "966900 [1. 0.785271 0.26341643 0.45208523 0.23678941 0.11436698\n", " 0.15545304 0.0955482 0.59660219 0.3800993 0.406476 ] MSE = 0.000700279027318953 ll= -9.629316593215075\n", "967000 [1. 0.78529321 0.26339125 0.4520695 0.23676492 0.11435516\n", " 0.15543696 0.09553832 0.59663771 0.38014376 0.40651567] MSE = 0.0007030145351499675 ll= -4.780956117494121\n", "967100 [1. 0.78531541 0.26337849 0.45205688 0.23674043 0.1143454\n", " 0.15543226 0.09552844 0.59666598 0.38019855 0.4065698 ] MSE = 0.000706620265680912 ll= -8.88315325153432\n", "967200 [1. 0.78531486 0.26335126 0.45206183 0.23671595 0.11433357\n", " 0.1554286 0.09552683 0.59666529 0.38019646 0.40654121] MSE = 0.0007051028475348502 ll= -6.125230460548312\n", "967300 [1. 0.78526261 0.26332403 0.4520151 0.23669148 0.11432175\n", " 0.15541977 0.09551696 0.59663151 0.38015715 0.40649917] MSE = 0.0007002344280241016 ll= -1.5059712919558215\n", "967400 [1. 0.78518143 0.26329681 0.45196837 0.23666701 0.11430993\n", " 0.1554037 0.09550708 0.59656983 0.38011785 0.40645715] MSE = 0.0006946206484438875 ll= -1.5059712919558215\n", "967500 [1. 0.78511371 0.26326959 0.45192165 0.23664255 0.11429812\n", " 0.15538764 0.09549721 0.5965154 0.38007856 0.40641513] MSE = 0.0006893171350428047 ll= -1.5059712919558215\n", "967600 [1. 0.7850491 0.26324238 0.45187494 0.23661809 0.1142863\n", " 0.15537158 0.09548734 0.59646098 0.38004548 0.4063876 ] MSE = 0.0006847553277867916 ll= -1.5059712919558215\n", "967700 [1. 0.78503307 0.26321517 0.45185304 0.23659363 0.11427449\n", " 0.15535965 0.09547747 0.59646445 0.38001033 0.4063456 ] MSE = 0.000681321838128267 ll= -6.295429229355348\n", "967800 [1. 0.78505529 0.26318797 0.45184148 0.23656918 0.11426268\n", " 0.1553746 0.0954676 0.59646895 0.3800465 0.40638628] MSE = 0.0006834495012961571 ll= -5.307802938119212\n", "967900 [1. 0.7850775 0.26316078 0.45183406 0.23654474 0.11425088\n", " 0.15540918 0.09545774 0.59649514 0.38010953 0.40644761] MSE = 0.0006874478598455174 ll= -7.534467509466062\n", "968000 [1. 0.78505734 0.26313772 0.45183387 0.2365203 0.11423907\n", " 0.15539312 0.09544788 0.59647794 0.38009092 0.40643352] MSE = 0.0006853618894158823 ll= -8.480516629040654\n", "968100 [1. 0.78505785 0.26312707 0.45180785 0.23649587 0.11423037\n", " 0.15540496 0.09543802 0.59648037 0.38006198 0.40640599] MSE = 0.0006829197531384476 ll= -1.5059712919558215\n", "968200 [1. 0.78497676 0.26309989 0.45176118 0.23647144 0.11421857\n", " 0.15538891 0.09542816 0.59641876 0.38002272 0.40636401] MSE = 0.0006774233239527981 ll= -1.5059712919558215\n", "968300 [1. 0.78490085 0.26307271 0.45171452 0.23644702 0.11420678\n", " 0.15537286 0.0954183 0.59635716 0.37998347 0.40632204] MSE = 0.00067202885046839 ll= -1.5059712919558215\n", "968400 [1. 0.78488588 0.26304554 0.45170402 0.2364226 0.11419498\n", " 0.15538366 0.09540845 0.59633998 0.37994423 0.40628008] MSE = 0.0006683714072512483 ll= -1.5059712919558215\n", "968500 [1. 0.78482755 0.26301838 0.45165737 0.23639818 0.11418319\n", " 0.15537691 0.0953986 0.5962815 0.379905 0.40623812] MSE = 0.0006632911699631004 ll= -5.6336541722170494\n", "968600 [1. 0.78480227 0.26299122 0.45161797 0.23637377 0.1141714\n", " 0.15537326 0.09538875 0.59622716 0.37986577 0.40619618] MSE = 0.0006587732228521337 ll= -1.5059712919558215\n", "968700 [1. 0.78482346 0.26296407 0.45159818 0.23634937 0.11415961\n", " 0.15538819 0.0953789 0.59622961 0.37982655 0.40615424] MSE = 0.0006557769482599075 ll= -6.432744284349056\n", "968800 [1. 0.78480438 0.26293693 0.45155466 0.23632497 0.11414783\n", " 0.15537834 0.09536905 0.59621039 0.37981212 0.40613812] MSE = 0.0006533736775429483 ll= -4.750837076590581\n", "968900 [1. 0.78482659 0.26291082 0.45158031 0.23630058 0.11413604\n", " 0.1553943 0.09535921 0.59623142 0.37977291 0.4060962 ] MSE = 0.0006510758851691859 ll= -16.36127196536717\n", "969000 [1. 0.7848488 0.2628971 0.45156569 0.23627619 0.11412426\n", " 0.15538549 0.09534937 0.59624523 0.37974404 0.40605429] MSE = 0.000648713540818299 ll= -5.366607499413513\n", "969100 [1. 0.784871 0.26286997 0.45154902 0.23625181 0.11411249\n", " 0.15537874 0.09533953 0.59626006 0.37979773 0.40609185] MSE = 0.0006513449298423464 ll= -5.506772060741071\n", "969200 [1. 0.7848932 0.26285213 0.45155092 0.23622743 0.11410071\n", " 0.15537199 0.09532969 0.59628418 0.37985657 0.40615313] MSE = 0.000655277194929915 ll= -6.483382504511203\n", "969300 [1. 0.78491024 0.26282501 0.45152187 0.23620305 0.11408894\n", " 0.15537969 0.09531985 0.59631139 0.37987206 0.40617004] MSE = 0.0006560820800819247 ll= -5.542007085653883\n", "969400 [1. 0.78493243 0.2627979 0.45151965 0.23617869 0.11407717\n", " 0.15537295 0.09531002 0.59632002 0.37985866 0.40616321] MSE = 0.0006552965744534574 ll= -7.88174894831486\n", "969500 [1. 0.78495461 0.26277491 0.45150815 0.23615432 0.1140654\n", " 0.15536311 0.09530019 0.59635445 0.37985558 0.40617495] MSE = 0.0006557190516957021 ll= -5.583270943802793\n", "969600 [1. 0.78497679 0.26274781 0.45147189 0.23612996 0.11405364\n", " 0.15539453 0.09529036 0.59637751 0.37990614 0.40622486] MSE = 0.0006586517933063901 ll= -6.446494110548534\n", "969700 [1. 0.78499897 0.26272174 0.45145111 0.23610561 0.11404187\n", " 0.15541873 0.09528156 0.59641605 0.3799639 0.4062861 ] MSE = 0.0006625549663559671 ll= -8.10945333470282\n", "969800 [1. 0.78502114 0.26269465 0.45143343 0.23608126 0.11403011\n", " 0.15543364 0.09528514 0.59643601 0.38001753 0.40633495] MSE = 0.0006658069711288803 ll= -7.9499556570499665\n", "969900 [1. 0.78498763 0.26268097 0.45141679 0.23605692 0.11401835\n", " 0.15541761 0.09527531 0.59640544 0.37997835 0.40629305] MSE = 0.0006618000488303229 ll= -1.5059712919558215\n", "970000 [1. 0.78491185 0.26265388 0.45137024 0.23603258 0.1140066\n", " 0.15540159 0.09526549 0.59634395 0.37993917 0.40625116] MSE = 0.000656507787909184 ll= -1.5059712919558215\n", "970100 [1. 0.78487423 0.2626268 0.45132371 0.23600825 0.11399485\n", " 0.15540825 0.09526186 0.59629485 0.3799 0.40620928] MSE = 0.00065194881850356 ll= -1.5059712919558215\n", "970200 [1. 0.78479332 0.26259973 0.45127719 0.23598392 0.11398309\n", " 0.15539223 0.09525204 0.59623338 0.37986084 0.40616741] MSE = 0.0006466533858201645 ll= -1.5059712919558215\n", "970300 [1. 0.78481035 0.26257267 0.45124407 0.2359596 0.11397135\n", " 0.15541435 0.09524222 0.59625953 0.37986601 0.40617089] MSE = 0.0006467034045441683 ll= -8.298719912841262\n", "970400 [1. 0.78482222 0.2625456 0.45125528 0.23593528 0.1139596\n", " 0.15540451 0.0952324 0.5962795 0.37990003 0.4062053 ] MSE = 0.0006488751575522711 ll= -1.5059712919558215\n", "970500 [1. 0.78484439 0.26251855 0.45124588 0.23591096 0.11394786\n", " 0.1554019 0.09522259 0.5963108 0.37989386 0.40618199] MSE = 0.0006480368872178214 ll= -5.102485091207651\n", "970600 [1. 0.78485008 0.2624915 0.45123442 0.23588666 0.11393612\n", " 0.15538588 0.09521278 0.59630912 0.3799052 0.40617105] MSE = 0.0006474823877104357 ll= -1.5059712919558215\n", "970700 [1. 0.78483721 0.26246445 0.45122605 0.23586235 0.11392438\n", " 0.15536987 0.09520297 0.59630332 0.37986606 0.4061292 ] MSE = 0.0006441182839448149 ll= -4.112982789885634\n", "970800 [1. 0.78485938 0.26243742 0.45123622 0.23583806 0.11391264\n", " 0.15535387 0.09519316 0.59634079 0.37987844 0.4061296 ] MSE = 0.0006448793415909386 ll= -3.9365884487280343\n", "970900 [1. 0.78483828 0.26241038 0.45119695 0.23581376 0.11390091\n", " 0.15534405 0.09518335 0.59632262 0.37987536 0.40613206] MSE = 0.0006435440296905794 ll= -7.612415931674459\n", "971000 [1. 0.78486044 0.26242867 0.45121743 0.23579359 0.11390359\n", " 0.15534247 0.09517355 0.5963333 0.37993923 0.40619322] MSE = 0.0006479965419796383 ll= -7.202917102771613\n", "971100 [1. 0.7848826 0.2624346 0.45125129 0.23579403 0.11389186\n", " 0.15532647 0.09516375 0.59635427 0.37993512 0.40618847] MSE = 0.0006484593921410905 ll= -6.274634083302592\n", "971200 [1. 0.78482237 0.26240758 0.45120894 0.23576975 0.11388014\n", " 0.15531047 0.09515395 0.59630316 0.37989599 0.40614664] MSE = 0.0006436218268995675 ll= -5.662698300735432\n", "971300 [1. 0.78480025 0.26238056 0.45117586 0.23574547 0.11386841\n", " 0.15529448 0.09514415 0.59629119 0.37985688 0.40610482] MSE = 0.0006398733102387971 ll= -1.5059712919558215\n", "971400 [1. 0.78474004 0.26235355 0.45112941 0.2357212 0.11385669\n", " 0.15528158 0.09513436 0.59623494 0.3798188 0.40607022] MSE = 0.0006352455925096727 ll= -1.5059712919558215\n", "971500 [1. 0.78467984 0.26232654 0.45109533 0.23569693 0.11384497\n", " 0.1552656 0.09512456 0.59618489 0.3797797 0.40602841] MSE = 0.000630561718447464 ll= -6.1636836850960135\n", "971600 [1. 0.78460834 0.26229954 0.45105404 0.23567267 0.11383325\n", " 0.15524961 0.09511477 0.59612455 0.37974061 0.40598662] MSE = 0.000625576129348634 ll= -1.5059712919558215\n", "971700 [1. 0.78453376 0.26227254 0.45100762 0.23564841 0.11382153\n", " 0.15523364 0.09510498 0.59606319 0.37970152 0.40594483] MSE = 0.0006205309717315004 ll= -3.9707331009586664\n", "971800 [1. 0.78454976 0.26224555 0.45097767 0.23562416 0.11380982\n", " 0.15522692 0.09509519 0.5960564 0.37971493 0.40596686] MSE = 0.000621053790739544 ll= -5.721143022096145\n", "971900 [1. 0.78457193 0.26230912 0.45102284 0.23566269 0.1138084\n", " 0.15526549 0.09510393 0.59606606 0.37977464 0.40602799] MSE = 0.0006262916319423077 ll= -5.486933734102237\n", "972000 [1. 0.78459409 0.26231197 0.45102377 0.23565799 0.11380492\n", " 0.15526597 0.09509415 0.59606853 0.37983332 0.4060891 ] MSE = 0.0006302605999188317 ll= -5.050216483344239\n", "972100 [1. 0.78454424 0.26228498 0.45097737 0.23563374 0.11379321\n", " 0.15525103 0.09508436 0.59601749 0.37980658 0.40606584] MSE = 0.0006266138659807956 ll= -6.054714663448101\n", "972200 [1. 0.78446662 0.262258 0.45093097 0.23560951 0.1137815\n", " 0.15523506 0.09507458 0.59595618 0.37976751 0.40602407] MSE = 0.000621556905954555 ll= -1.5059712919558215\n", "972300 [1. 0.78441679 0.26223102 0.45088459 0.23558527 0.1137698\n", " 0.15523452 0.0950648 0.59592162 0.37975005 0.40601214] MSE = 0.0006188088069412461 ll= -5.293024907768074\n", "972400 [1. 0.78443896 0.26220817 0.45088861 0.23556104 0.1137581\n", " 0.15522575 0.09505605 0.5959385 0.37979533 0.40605986] MSE = 0.000621811933308409 ll= -10.521082254912232\n", "972500 [1. 0.78442308 0.2621812 0.45087413 0.23553682 0.1137464\n", " 0.15524681 0.09507507 0.5959276 0.37975627 0.4060181 ] MSE = 0.0006186013917787367 ll= -1.5059712919558215\n", "972600 [1. 0.78434242 0.26215424 0.45082776 0.2355126 0.1137347\n", " 0.15523085 0.0950653 0.59586632 0.37971722 0.40597635] MSE = 0.0006135706492932237 ll= -1.5059712919558215\n", "972700 [1. 0.78428851 0.26212729 0.45079581 0.23548838 0.11372301\n", " 0.15521592 0.09505552 0.59582357 0.37967818 0.40593461] MSE = 0.0006092161255095889 ll= -1.5059712919558215\n", "972800 [1. 0.78420787 0.26210034 0.45074946 0.23546417 0.11371132\n", " 0.15519996 0.09504575 0.59576231 0.37963915 0.40589288] MSE = 0.0006042493149503827 ll= -1.5059712919558215\n", "972900 [1. 0.78419408 0.2620734 0.45072985 0.23543997 0.11369963\n", " 0.155184 0.09503598 0.59575247 0.37960012 0.40585115] MSE = 0.0006008815845833639 ll= -8.42153254070174\n", "973000 [1. 0.78413814 0.26204646 0.45068969 0.23541577 0.11368794\n", " 0.15516805 0.09502621 0.59570768 0.37956111 0.40580944] MSE = 0.000596482980214799 ll= -1.5059712919558215\n", "973100 [1. 0.78413155 0.26204625 0.45069065 0.23539671 0.11367626\n", " 0.15519836 0.09503392 0.59569784 0.37957862 0.40583556] MSE = 0.0005975325769711269 ll= -14.410229022443456\n", "973200 [1. 0.78411263 0.26202343 0.45065769 0.23537252 0.11366458\n", " 0.15519268 0.09502415 0.59566848 0.37956839 0.40582674] MSE = 0.00059573553930448 ll= -1.5059712919558215\n", "973300 [1. 0.78404336 0.26199651 0.45061139 0.23534834 0.1136529\n", " 0.15517674 0.09501439 0.59561036 0.37952939 0.40578504] MSE = 0.0005910241401741413 ll= -5.96856079381209\n", "973400 [1. 0.78401418 0.26196959 0.45059591 0.23532415 0.11364122\n", " 0.15517518 0.09500462 0.5955841 0.37949348 0.40574335] MSE = 0.0005874652534460395 ll= -9.277641499906542\n", "973500 [1. 0.78403637 0.26194268 0.45056708 0.23529998 0.11362955\n", " 0.15522704 0.09504828 0.59561948 0.37954284 0.40579823] MSE = 0.0005911016883679656 ll= -6.200126701723107\n", "973600 [1. 0.78405855 0.26191577 0.45054648 0.23527581 0.11361787\n", " 0.15526348 0.09504674 0.59563534 0.37960452 0.40585927] MSE = 0.0005948332969873436 ll= -11.866825678964883\n", "973700 [1. 0.78408073 0.26188887 0.4505341 0.23525164 0.1136062\n", " 0.15528451 0.09503698 0.59566146 0.37966105 0.4059203 ] MSE = 0.0005985499031643589 ll= -5.2942108798188645\n", "973800 [1. 0.78410291 0.26188251 0.45052994 0.23522748 0.11360583\n", " 0.15532299 0.09502722 0.59567629 0.37965903 0.40592071] MSE = 0.0005986502356426214 ll= -12.265939114867464\n", "973900 [1. 0.78412508 0.26195831 0.45058636 0.23530191 0.11360546\n", " 0.1553358 0.09501746 0.59571575 0.37968371 0.40591908] MSE = 0.0006012438305796992 ll= -15.570456949651875\n", "974000 [1. 0.78414724 0.26203409 0.45064278 0.23538043 0.11363282\n", " 0.15533936 0.09502413 0.59571003 0.37971866 0.40595852] MSE = 0.0006052390757630456 ll= -7.330300862608375\n", "974100 [1. 0.7841694 0.26210986 0.4506961 0.23545893 0.11364887\n", " 0.15535421 0.09502772 0.59574949 0.37971971 0.40595277] MSE = 0.0006072296477250391 ll= -15.605815775060927\n", "974200 [1. 0.78419156 0.26218561 0.45075249 0.23553742 0.11366184\n", " 0.15536906 0.09503747 0.59578277 0.37973411 0.4059111 ] MSE = 0.0006084797419544778 ll= -9.792522271104602\n", "974300 [1. 0.78421371 0.26226134 0.45080887 0.23561589 0.11375282\n", " 0.15535516 0.0951047 0.59579142 0.37975159 0.40592076] MSE = 0.0006120063371425264 ll= -2.2790006897593744\n", "974400 [1. 0.78423586 0.26233706 0.45086524 0.23569434 0.11384379\n", " 0.1553618 0.09519758 0.59582777 0.37976804 0.40591502] MSE = 0.0006155972975753713 ll= -6.909801326692355\n", "974500 [1. 0.784258 0.26241277 0.45092159 0.23577278 0.11391728\n", " 0.15536433 0.0952617 0.59586104 0.37973009 0.40587644] MSE = 0.0006161979050994781 ll= -7.08693532869136\n", "974600 [1. 0.78428014 0.26248846 0.45097691 0.23585121 0.11400821\n", " 0.15536788 0.09535454 0.59589123 0.37977014 0.40592714] MSE = 0.0006223587933762182 ll= -6.683265873129951\n", "974700 [1. 0.78430228 0.26256208 0.45102606 0.2358978 0.11407141\n", " 0.15541248 0.09542889 0.59588652 0.37981531 0.40597886] MSE = 0.0006277628961218588 ll= -6.428689341424054\n", "974800 [1. 0.78432441 0.26263773 0.45108238 0.23597107 0.11408639\n", " 0.15543244 0.09545604 0.59591567 0.37978147 0.40593721] MSE = 0.0006278168326728091 ll= -6.26054451150253\n", "974900 [1. 0.78434653 0.26271338 0.4511387 0.23604945 0.11410546\n", " 0.15545753 0.09544625 0.59594891 0.3797579 0.40589557] MSE = 0.0006280429679530727 ll= -7.451684439153511\n", "975000 [1. 0.78436865 0.262789 0.45119499 0.23612781 0.1140958\n", " 0.15544569 0.09543646 0.59595548 0.37976305 0.40590009] MSE = 0.0006301430479355098 ll= -9.775871199732935\n", "975100 [1. 0.78439077 0.26279897 0.45122256 0.23612821 0.11409436\n", " 0.15544718 0.09543487 0.59597026 0.37981846 0.40596103] MSE = 0.0006345161399737007 ll= -11.480341236449213\n", "975200 [1. 0.78439442 0.26277202 0.45117937 0.23610399 0.11408266\n", " 0.15544457 0.09542919 0.59598503 0.37981233 0.40595836] MSE = 0.0006336136761612491 ll= -4.193969089824927\n", "975300 [1. 0.78441653 0.26279737 0.45118232 0.23611567 0.11407301\n", " 0.15546965 0.0954194 0.59600082 0.37977338 0.40591674] MSE = 0.0006317145479051601 ll= -4.118402424831717\n", "975400 [1. 0.78443863 0.26287296 0.45123859 0.23619399 0.11413514\n", " 0.15546704 0.09540962 0.59601251 0.37976725 0.40591818] MSE = 0.0006338874874476921 ll= -10.104999299807737\n", "975500 [1. 0.78446073 0.26294853 0.45129075 0.2362723 0.11412754\n", " 0.1554634 0.09539984 0.59603445 0.37979188 0.40594218] MSE = 0.000637441819980176 ll= -6.073013348663574\n", "975600 [1. 0.78448283 0.26302409 0.451347 0.23635059 0.11412301\n", " 0.1555182 0.09540953 0.59606151 0.37982368 0.4059836 ] MSE = 0.0006421185082963392 ll= -9.576504823092113\n", "975700 [1. 0.78450492 0.26304531 0.45135096 0.23636121 0.11412259\n", " 0.15551558 0.09541 0.59609061 0.37988315 0.40604449] MSE = 0.0006468128883707427 ll= -5.831023794586976\n", "975800 [1. 0.78452701 0.26301835 0.45136722 0.23633699 0.11411089\n", " 0.15554986 0.09543507 0.59611971 0.37994056 0.40610536] MSE = 0.0006510808686923666 ll= -6.528898643433169\n", "975900 [1. 0.78454909 0.26307645 0.45141627 0.2363886 0.11410637\n", " 0.15556262 0.09542837 0.59614778 0.37998873 0.4061529 ] MSE = 0.00065595949370569 ll= -7.375157278498399\n", "976000 [1. 0.78457117 0.26304949 0.45139973 0.23636438 0.11409468\n", " 0.15556 0.09542576 0.59616969 0.38004304 0.4062117 ] MSE = 0.0006594632250054864 ll= -4.971455293710887\n", "976100 [1. 0.78459324 0.26305123 0.45142008 0.2363627 0.11408299\n", " 0.15558299 0.09541598 0.59618135 0.3800625 0.40623258] MSE = 0.0006612187238343191 ll= -7.823588411516527\n", "976200 [1. 0.78461531 0.26309599 0.45146604 0.23637332 0.1140713\n", " 0.15556808 0.09540621 0.59619609 0.38008196 0.40627292] MSE = 0.0006642789849727047 ll= -5.332123216411769\n", "976300 [1. 0.78463737 0.26306904 0.45144438 0.23634911 0.11405962\n", " 0.15555931 0.09539644 0.59622516 0.38011473 0.40630301] MSE = 0.0006661801957479101 ll= -4.580826872647034\n", "976400 [1. 0.78465943 0.2630421 0.45142374 0.2363249 0.11404794\n", " 0.1555444 0.09538666 0.59623784 0.38017515 0.40636382] MSE = 0.0006697603038392273 ll= -4.759198670470957\n", "976500 [1. 0.78468148 0.26301516 0.45139697 0.2363007 0.11403626\n", " 0.15552847 0.09537689 0.59626895 0.38022532 0.40642462] MSE = 0.0006732239188181829 ll= -8.959299870216563\n", "976600 [1. 0.78470353 0.26298822 0.45137839 0.2362765 0.11402458\n", " 0.15552688 0.09536713 0.59629698 0.38025806 0.40646083] MSE = 0.0006753853068406305 ll= -5.978220729971984\n", "976700 [1. 0.7847092 0.26297256 0.45136699 0.2362523 0.1140129\n", " 0.15552734 0.09535736 0.59631169 0.3802263 0.40641921] MSE = 0.0006727166690496298 ll= -1.5059712919558215\n", "976800 [1. 0.7847169 0.26294563 0.45134023 0.23622812 0.11400123\n", " 0.15551449 0.0953476 0.59633562 0.38019248 0.4063776 ] MSE = 0.0006699149657057048 ll= -4.5865738319475176\n", "976900 [1. 0.78472052 0.26291871 0.45132576 0.23620393 0.11398956\n", " 0.15549857 0.09533784 0.59634521 0.38015356 0.406336 ] MSE = 0.0006668322862033566 ll= -6.105186166301654\n", "977000 [1. 0.78474255 0.2628918 0.45129082 0.23617975 0.11397789\n", " 0.15550107 0.09532808 0.59638346 0.38012898 0.40629542] MSE = 0.000664679519599541 ll= -6.226675246376572\n", "977100 [1. 0.78476459 0.26286489 0.45127021 0.23615558 0.11396622\n", " 0.15548516 0.09531832 0.5964043 0.38011259 0.40628762] MSE = 0.0006637527713702772 ll= -5.909598205753323\n", "977200 [1. 0.78478661 0.26283799 0.45128237 0.23613141 0.11395456\n", " 0.15552553 0.09530857 0.59642207 0.38007676 0.40624603] MSE = 0.0006613979953583227 ll= -6.981918477556571\n", "977300 [1. 0.78471961 0.26281109 0.45123619 0.23610725 0.1139429\n", " 0.15551269 0.09529881 0.59637024 0.38003786 0.40620446] MSE = 0.0006563919176624975 ll= -1.5059712919558215\n", "977400 [1. 0.78463931 0.2627842 0.45119001 0.23608309 0.11393124\n", " 0.15549678 0.09528906 0.59630922 0.37999898 0.4061629 ] MSE = 0.0006511307876905981 ll= -1.5059712919558215\n", "977500 [1. 0.78461326 0.26275732 0.45118375 0.23605893 0.11391958\n", " 0.15550952 0.09527931 0.59630244 0.3799867 0.40616124] MSE = 0.0006497399933379278 ll= -9.055316319872398\n", "977600 [1. 0.78458312 0.26273043 0.4511468 0.23603478 0.11390793\n", " 0.15550384 0.09526957 0.59628747 0.37995396 0.40611969] MSE = 0.0006459971253569757 ll= -1.5059712919558215\n", "977700 [1. 0.78454685 0.26270356 0.45111088 0.23601064 0.11389628\n", " 0.15548793 0.09525982 0.59623466 0.3799151 0.40609759] MSE = 0.0006421495959605126 ll= -2.880511124524045\n", "977800 [1. 0.78455048 0.26267669 0.45108622 0.2359865 0.11388463\n", " 0.15547816 0.09525008 0.59619413 0.37987624 0.40610412] MSE = 0.000639983213219937 ll= -1.5059712919558215\n", "977900 [1. 0.78447331 0.26264983 0.45104009 0.23596236 0.11387298\n", " 0.15546226 0.09524034 0.59613316 0.37983739 0.40606259] MSE = 0.0006348625254401722 ll= -1.5059712919558215\n", "978000 [1. 0.78439309 0.26262297 0.45099397 0.23593823 0.11386134\n", " 0.15544636 0.0952306 0.5960722 0.37979855 0.40602107] MSE = 0.0006297407210827297 ll= -1.5059712919558215\n", "978100 [1. 0.78431288 0.26259611 0.45094785 0.23591411 0.11384969\n", " 0.15543047 0.09522086 0.59601125 0.37975971 0.40597955] MSE = 0.000624654550673925 ll= -1.5059712919558215\n", "978200 [1. 0.7842327 0.26256927 0.45090175 0.23588999 0.11383805\n", " 0.15541458 0.09521112 0.59595031 0.37972089 0.40593804] MSE = 0.0006196039926770216 ll= -1.5059712919558215\n", "978300 [1. 0.7842108 0.26254242 0.45086281 0.23586588 0.11382642\n", " 0.15541914 0.09520548 0.59594459 0.37968207 0.40589654] MSE = 0.000616019875613195 ll= -6.173905060633741\n", "978400 [1. 0.78413983 0.26251559 0.45082388 0.23584177 0.11381478\n", " 0.15540325 0.09519575 0.5958847 0.37964326 0.40585505] MSE = 0.0006111933641270309 ll= -1.5059712919558215\n", "978500 [1. 0.78415372 0.26248876 0.45080948 0.23581766 0.11380315\n", " 0.15542314 0.09519113 0.59590556 0.37965147 0.40586263] MSE = 0.0006115536152894649 ll= -4.723017134720186\n", "978600 [1. 0.78413183 0.26246193 0.45078181 0.23579356 0.11379152\n", " 0.15540828 0.0951814 0.59587839 0.37961983 0.40583137] MSE = 0.000608328338743199 ll= -1.5059712919558215\n", "978700 [1. 0.78405171 0.26243511 0.45073574 0.23576947 0.11377989\n", " 0.1553924 0.09517167 0.59581749 0.37958103 0.4057899 ] MSE = 0.0006033814934504289 ll= -1.5059712919558215\n", "978800 [1. 0.78397159 0.2624083 0.45068969 0.23574538 0.11376826\n", " 0.15537652 0.09516195 0.59575662 0.37954225 0.40574844] MSE = 0.0005984701616994458 ll= -1.5059712919558215\n", "978900 [1. 0.78389354 0.26238149 0.45064365 0.23572129 0.11375664\n", " 0.15536065 0.09515223 0.59569575 0.37950347 0.40570699] MSE = 0.0005936161141094005 ll= -1.5059712919558215\n", "979000 [1. 0.78388191 0.26235468 0.45062213 0.23569721 0.11374502\n", " 0.15540402 0.09516702 0.59567372 0.37946471 0.40566554] MSE = 0.0005903405295308668 ll= -7.777657036490884\n", "979100 [1. 0.78387947 0.26232789 0.45058733 0.23567314 0.1137334\n", " 0.15540858 0.0951573 0.59566599 0.37943207 0.40562411] MSE = 0.000587231699234172 ll= -8.975931058714817\n", "979200 [1. 0.78389439 0.26230109 0.4505597 0.23564907 0.11372179\n", " 0.15539373 0.09514758 0.59568992 0.37939536 0.40558268] MSE = 0.0005846160565158522 ll= -1.5059712919558215\n", "979300 [1. 0.78384191 0.26227431 0.45053002 0.235625 0.11371017\n", " 0.15537786 0.09513787 0.59564645 0.37935662 0.40554126] MSE = 0.0005804237016129598 ll= -6.231276678063765\n", "979400 [1. 0.78386398 0.26226897 0.4505361 0.2356183 0.1137006\n", " 0.15537629 0.09512815 0.59566017 0.37932299 0.40551006] MSE = 0.0005786942064991978 ll= -6.535290874109119\n", "979500 [1. 0.78388605 0.2622575 0.45054013 0.23559935 0.11368899\n", " 0.15536655 0.09511844 0.59566776 0.37936083 0.40556259] MSE = 0.0005814847895238714 ll= -5.233300031028774\n", "979600 [1. 0.78390403 0.26223481 0.45053599 0.23557529 0.11368045\n", " 0.15537621 0.09510873 0.59567739 0.3793803 0.40558652] MSE = 0.0005826854865096129 ll= -3.615191177475711\n", "979700 [1. 0.7838822 0.26220804 0.45052675 0.23555125 0.11366884\n", " 0.15537566 0.09509902 0.5956666 0.37935994 0.40555022] MSE = 0.0005800709001895419 ll= -1.5059712919558215\n", "979800 [1. 0.78380218 0.26218128 0.45048076 0.2355272 0.11365724\n", " 0.1553598 0.09508931 0.5956058 0.37932122 0.40550883] MSE = 0.000575295791302641 ll= -1.5059712919558215\n", "979900 [1. 0.78382017 0.26215452 0.45045826 0.23550316 0.11364564\n", " 0.15536844 0.09507961 0.59562972 0.37928251 0.40546744] MSE = 0.000572737296163381 ll= -6.732705727299542\n", "980000 [1. 0.78384223 0.26212777 0.45046739 0.23547913 0.11363404\n", " 0.15535565 0.09506991 0.59565466 0.37931217 0.40550464] MSE = 0.0005749262397899969 ll= -6.650092849368144\n", "980100 [1. 0.78386429 0.26210102 0.45046122 0.2354551 0.11362245\n", " 0.15536224 0.0950602 0.59567755 0.37935306 0.40555408] MSE = 0.0005777160492294868 ll= -10.48585520224343\n", "980200 [1. 0.78388634 0.26207428 0.45044791 0.23543108 0.11361086\n", " 0.15535864 0.09505051 0.59570044 0.37932966 0.40552597] MSE = 0.0005761256998797818 ll= -6.229916864762901\n", "980300 [1. 0.78390839 0.26204754 0.45043256 0.23540706 0.11359927\n", " 0.15535503 0.09504081 0.5957019 0.37935931 0.40555397] MSE = 0.0005776001636124153 ll= -7.7621061163744365\n", "980400 [1. 0.78391105 0.26202081 0.45043762 0.23538305 0.11358768\n", " 0.15535652 0.09503111 0.59569622 0.37938896 0.40558196] MSE = 0.0005789332019001312 ll= -1.5059712919558215\n", "980500 [1. 0.78383109 0.26199408 0.45039168 0.23535904 0.11357609\n", " 0.15534068 0.09502142 0.59563545 0.37935027 0.4055406 ] MSE = 0.0005741786062987462 ll= -1.5059712919558215\n", "980600 [1. 0.78381336 0.26196736 0.45038348 0.23533503 0.11356451\n", " 0.15532891 0.09501173 0.59562876 0.37934829 0.40551759] MSE = 0.0005726575789344793 ll= -8.328566644633757\n", "980700 [1. 0.78383541 0.26194065 0.45036508 0.23531103 0.11355293\n", " 0.15533449 0.09500204 0.59566082 0.37940955 0.40557822] MSE = 0.0005764480567795691 ll= -8.473733191779914\n", "980800 [1. 0.78385745 0.26191394 0.45037524 0.23528704 0.11354135\n", " 0.15536454 0.09500255 0.59569593 0.37938513 0.40554706] MSE = 0.0005751360636916028 ll= -7.203915604379672\n", "980900 [1. 0.78383157 0.26188927 0.45035787 0.23526305 0.11352977\n", " 0.15534869 0.09499286 0.59566374 0.37934645 0.40550571] MSE = 0.0005715200088137243 ll= -1.5059712919558215\n", "981000 [1. 0.78375268 0.26186258 0.45031196 0.23523907 0.1135182\n", " 0.15533286 0.09498318 0.59560302 0.37930778 0.40546437] MSE = 0.0005668278425987488 ll= -1.5059712919558215\n", "981100 [1. 0.78367278 0.26183588 0.45026606 0.23521509 0.11350663\n", " 0.15531702 0.0949735 0.5955423 0.37926911 0.40542304] MSE = 0.0005621601790697036 ll= -1.5059712919558215\n", "981200 [1. 0.78362552 0.26180919 0.45022628 0.23519111 0.11349506\n", " 0.15530119 0.09496382 0.59549689 0.37923453 0.40538171] MSE = 0.0005581917427206389 ll= -1.5059712919558215\n", "981300 [1. 0.78363025 0.26178251 0.45024766 0.23516714 0.11348349\n", " 0.15531798 0.09495414 0.59550856 0.37921321 0.40536282] MSE = 0.0005569133394135533 ll= -5.681098587952997\n", "981400 [1. 0.78365128 0.26175583 0.45020789 0.23514318 0.11347192\n", " 0.15534291 0.09494854 0.59554265 0.3792194 0.40537043] MSE = 0.000557322145915964 ll= -1.5059712919558215\n", "981500 [1. 0.78360505 0.26172916 0.45016201 0.23511922 0.11346036\n", " 0.15532708 0.09493886 0.59550336 0.37918076 0.40532912] MSE = 0.0005533002054860833 ll= -6.233726142352257\n", "981600 [1. 0.7836271 0.2617025 0.45015588 0.23509526 0.1134488\n", " 0.15531126 0.09492919 0.59553133 0.37916454 0.4053133 ] MSE = 0.0005524535210802015 ll= -4.331192551248042\n", "981700 [1. 0.78364914 0.26168806 0.45014772 0.23507131 0.11344132\n", " 0.15532702 0.09493684 0.59553586 0.37916972 0.40532396] MSE = 0.0005529759149297687 ll= -6.089575725757497\n", "981800 [1. 0.78367118 0.26166242 0.45016808 0.23504737 0.11342976\n", " 0.15532953 0.09492717 0.59555465 0.37922583 0.40538454] MSE = 0.0005566946967686863 ll= -8.542752300290685\n", "981900 [1. 0.78369322 0.26164799 0.45014871 0.23502343 0.11341821\n", " 0.15535954 0.0949175 0.59555408 0.37921776 0.40538399] MSE = 0.0005562248471969298 ll= -5.719955507748843\n", "982000 [1. 0.78369182 0.26168347 0.450166 0.23505754 0.11341073\n", " 0.15539668 0.09490783 0.59556472 0.37923108 0.40539974] MSE = 0.000557598644845673 ll= -9.606326903518111\n", "982100 [1. 0.78371385 0.26175866 0.450222 0.23513544 0.1134776\n", " 0.15542261 0.09499898 0.59559063 0.3792943 0.40545723] MSE = 0.0005638944265773731 ll= -1.2037328119571464\n", "982200 [1. 0.78373587 0.26183383 0.45027798 0.23521332 0.11356786\n", " 0.15540678 0.09507484 0.59560737 0.37935444 0.40551777] MSE = 0.0005701388899866371 ll= -9.237433058003019\n", "982300 [1. 0.78375789 0.26182549 0.4502474 0.23519344 0.11356139\n", " 0.155393 0.09506516 0.5956404 0.37934637 0.40551517] MSE = 0.0005699637479682303 ll= -5.270155052268061\n", "982400 [1. 0.7837514 0.26179884 0.45023211 0.2351695 0.11354983\n", " 0.15538023 0.09505548 0.59563168 0.37930775 0.40547389] MSE = 0.0005668583969235543 ll= -5.85829408191621\n", "982500 [1. 0.78367875 0.26177219 0.45018628 0.23514556 0.11353827\n", " 0.15536849 0.09504581 0.5955741 0.37926914 0.40543261] MSE = 0.0005623136359001814 ll= -7.9549582360143525\n", "982600 [1. 0.78370076 0.26174555 0.45018524 0.23512163 0.11352672\n", " 0.15538321 0.09503613 0.59560611 0.37929262 0.40547074] MSE = 0.0005644010841850675 ll= -5.539180311172173\n", "982700 [1. 0.78368716 0.26171891 0.45019031 0.2350977 0.11351516\n", " 0.15536739 0.09502646 0.59558824 0.37925402 0.40542947] MSE = 0.0005612679975896197 ll= -1.5059712919558215\n", "982800 [1. 0.7836125 0.26169228 0.4501445 0.23507378 0.11350361\n", " 0.15535158 0.09501679 0.59552763 0.37921543 0.40538822] MSE = 0.0005567033098945644 ll= -1.5059712919558215\n", "982900 [1. 0.78353276 0.26166565 0.4500987 0.23504986 0.11349206\n", " 0.15533578 0.09500712 0.59546703 0.37917684 0.40534697] MSE = 0.0005521215097590306 ll= -1.5059712919558215\n", "983000 [1. 0.78346424 0.26163903 0.45005494 0.23502594 0.11348052\n", " 0.15531997 0.09499746 0.59540645 0.37913826 0.40530573] MSE = 0.0005476970581926598 ll= -1.5059712919558215\n", "983100 [1. 0.78347609 0.26164496 0.45007121 0.23503154 0.11348423\n", " 0.15530417 0.09500102 0.59542116 0.37916582 0.40534283] MSE = 0.0005501300761731733 ll= -9.245241665652491\n", "983200 [1. 0.78349812 0.26169057 0.45011087 0.23507069 0.11353474\n", " 0.15529244 0.09503814 0.59545316 0.37921066 0.40538501] MSE = 0.000554506973769529 ll= -4.032536878678478\n", "983300 [1. 0.78350488 0.26166395 0.4501129 0.23504679 0.11352319\n", " 0.15528173 0.09502848 0.59546176 0.37921176 0.40538548] MSE = 0.0005543457471961494 ll= -5.553134633108162\n", "983400 [1. 0.78349334 0.26163734 0.45007322 0.23502288 0.11351164\n", " 0.15526594 0.09501881 0.59545307 0.37917828 0.40535849] MSE = 0.0005516832714082244 ll= -1.5059712919558215\n", "983500 [1. 0.78342587 0.26161074 0.45003559 0.23499898 0.1135001\n", " 0.15525015 0.09500915 0.59539963 0.37913972 0.40531727] MSE = 0.0005474014348651419 ll= -7.001452833356897\n", "983600 [1. 0.78342552 0.26158414 0.45003864 0.23497509 0.11348856\n", " 0.15526385 0.09499949 0.59541129 0.37914489 0.40533503] MSE = 0.0005478775214825238 ll= -6.054137295797385\n", "983700 [1. 0.78344754 0.26155754 0.45000712 0.2349512 0.11347702\n", " 0.1552684 0.09499593 0.5954331 0.37919378 0.40539549] MSE = 0.0005511225451886254 ll= -10.245678870372275\n", "983800 [1. 0.78341974 0.26153095 0.44996849 0.23492732 0.11346549\n", " 0.15525262 0.09498628 0.59541832 0.37919081 0.40536952] MSE = 0.0005491846382619128 ll= -7.980725695532883\n", "983900 [1. 0.78344176 0.26150437 0.44993901 0.23490344 0.11345395\n", " 0.15523989 0.09497662 0.59544623 0.37920817 0.40539439] MSE = 0.0005504528442736008 ll= -5.906500837547329\n", "984000 [1. 0.78336721 0.26147779 0.44989328 0.23487956 0.11344242\n", " 0.15522411 0.09496697 0.59538571 0.37916963 0.40535319] MSE = 0.0005460050789058829 ll= -1.5059712919558215\n", "984100 [1. 0.78332825 0.26145122 0.44985467 0.23485569 0.11343089\n", " 0.15520833 0.09495732 0.59534959 0.3791311 0.40531199] MSE = 0.0005422419822146199 ll= -7.269297138206338\n", "984200 [1. 0.78330353 0.26142465 0.44982929 0.23483183 0.11341937\n", " 0.15519358 0.09494767 0.59532771 0.37909257 0.40527081] MSE = 0.0005388670330507236 ll= -5.383176384245834\n", "984300 [1. 0.78331945 0.26139809 0.44981609 0.23480797 0.11340784\n", " 0.15519 0.09493802 0.5953353 0.37905405 0.40522963] MSE = 0.0005362887818355328 ll= -1.5059712919558215\n", "984400 [1. 0.78329473 0.26137661 0.44979376 0.23478411 0.11339632\n", " 0.15517424 0.09492838 0.59531342 0.37904704 0.405223 ] MSE = 0.0005349467609520582 ll= -4.130184394490659\n", "984500 [1. 0.78331674 0.26135006 0.44977042 0.23476026 0.1133848\n", " 0.15520419 0.09493702 0.59532812 0.37910809 0.40528342] MSE = 0.0005386002535336202 ll= -5.780875106286627\n", "984600 [1. 0.78333875 0.26132351 0.44975521 0.23473641 0.11337329\n", " 0.15523616 0.09492737 0.59534383 0.37914779 0.40531742] MSE = 0.0005407647337823869 ll= -11.200183786285404\n", "984700 [1. 0.78329575 0.26129697 0.44971867 0.23471257 0.11336177\n", " 0.15523157 0.09491773 0.59530774 0.37910928 0.40527625] MSE = 0.0005370157440295878 ll= -1.5059712919558215\n", "984800 [1. 0.78321621 0.26127044 0.449673 0.23468874 0.11335026\n", " 0.1552158 0.09490809 0.59524728 0.37907078 0.4052351 ] MSE = 0.0005326252240098033 ll= -1.5059712919558215\n", "984900 [1. 0.78313668 0.26124391 0.44962734 0.23466491 0.11333875\n", " 0.15520004 0.09489846 0.59518684 0.37903229 0.40519395] MSE = 0.0005282695669049813 ll= -1.5059712919558215\n", "985000 [1. 0.78314651 0.26121738 0.44960097 0.23464108 0.11332724\n", " 0.15525231 0.09493045 0.59516398 0.37899381 0.40515382] MSE = 0.0005255904276840176 ll= -7.140206512852422\n", "985100 [1. 0.78316853 0.26126294 0.44965482 0.23468528 0.11331574\n", " 0.15524569 0.09492081 0.59519086 0.37895533 0.40511574] MSE = 0.0005243745020819914 ll= -8.952741366456967\n", "985200 [1. 0.78319054 0.26133794 0.44967821 0.23476094 0.11331438\n", " 0.15527358 0.09493757 0.59522688 0.37891686 0.40508375] MSE = 0.0005238076969618364 ll= -11.411273160837652\n", "985300 [1. 0.78321153 0.26132562 0.44969448 0.23473914 0.11330288\n", " 0.15528015 0.09492793 0.59523853 0.37888348 0.40504974] MSE = 0.0005219522542185119 ll= -1.5059712919558215\n", "985400 [1. 0.78313204 0.2612991 0.44964884 0.23471532 0.11329138\n", " 0.15526439 0.0949183 0.59517812 0.37884502 0.40500863] MSE = 0.0005176227244123978 ll= -1.5059712919558215\n", "985500 [1. 0.78311346 0.26127258 0.44961335 0.2346915 0.11327989\n", " 0.15524863 0.09490867 0.5951715 0.37880658 0.40496753] MSE = 0.0005145119737105616 ll= -1.5059712919558215\n", "985600 [1. 0.78308676 0.26124607 0.44959919 0.23466768 0.11326839\n", " 0.15525216 0.09489904 0.5951517 0.37877829 0.40492643] MSE = 0.0005116016858156341 ll= -5.386565708899851\n", "985700 [1. 0.78310877 0.26125609 0.4496114 0.23464387 0.11326096\n", " 0.15524351 0.09488941 0.59517045 0.37881189 0.40496449] MSE = 0.0005139943584613893 ll= -5.5861422490727835\n", "985800 [1. 0.78305062 0.26122958 0.44956883 0.23462007 0.11324947\n", " 0.15522776 0.09487978 0.59513036 0.37878563 0.4049234 ] MSE = 0.0005104929304926022 ll= -1.5059712919558215\n", "985900 [1. 0.7830067 0.26120308 0.44952627 0.23459627 0.11323798\n", " 0.15521201 0.09487016 0.59510043 0.37874721 0.40488334] MSE = 0.0005069341118249454 ll= -5.497396049369776\n", "986000 [1. 0.7830287 0.26117659 0.44950198 0.23457247 0.11322649\n", " 0.15521655 0.09486053 0.59510701 0.37876458 0.40491936] MSE = 0.0005083312818444047 ll= -9.331503208982436\n", "986100 [1. 0.7830355 0.2611501 0.44947566 0.23454868 0.11321501\n", " 0.15521298 0.09485091 0.59510041 0.37872617 0.40488337] MSE = 0.0005056950939822815 ll= -1.5059712919558215\n", "986200 [1. 0.78301389 0.26112362 0.44945644 0.2345249 0.11320353\n", " 0.15519724 0.09484129 0.59509178 0.37868776 0.40484231] MSE = 0.0005026768847834887 ll= -1.5059712919558215\n", "986300 [1. 0.78302474 0.26109714 0.44944433 0.23450112 0.11319205\n", " 0.15519063 0.09483168 0.59510748 0.37871121 0.40487426] MSE = 0.0005041891703697883 ll= -4.731594161999822\n", "986400 [1. 0.78304674 0.26107067 0.44941701 0.23447734 0.11318057\n", " 0.15518301 0.09482206 0.59513333 0.37876508 0.4049346 ] MSE = 0.0005075601104126966 ll= -5.701432707494968\n", "986500 [1. 0.78306873 0.2610442 0.44939984 0.23445357 0.1131691\n", " 0.1551764 0.09481245 0.5951541 0.37879562 0.40497263] MSE = 0.0005096062184922077 ll= -6.144552792180667\n", "986600 [1. 0.7830299 0.26101774 0.44936442 0.2344298 0.11315763\n", " 0.15516067 0.09480284 0.59511708 0.37875722 0.40493158] MSE = 0.0005060519518166552 ll= -1.5059712919558215\n", "986700 [1. 0.78298297 0.26099128 0.44931887 0.23440604 0.11314616\n", " 0.15514494 0.09479323 0.59508413 0.37872187 0.40489256] MSE = 0.0005025866921715631 ll= -1.5059712919558215\n", "986800 [1. 0.78290767 0.26096483 0.44927334 0.23438228 0.11313469\n", " 0.15512922 0.09478362 0.59502382 0.37868349 0.40485153] MSE = 0.0004984588769720624 ll= -1.5059712919558215\n", "986900 [1. 0.78286076 0.26093839 0.44923389 0.23435853 0.11312323\n", " 0.15511451 0.09477402 0.59498581 0.37865728 0.40482367] MSE = 0.0004956046706456795 ll= -4.718241356283084\n", "987000 [1. 0.78288276 0.26091195 0.44923802 0.23433479 0.11311176\n", " 0.15512109 0.09476441 0.59500963 0.37865843 0.40483028] MSE = 0.0004959997850667293 ll= -4.345641727290856\n", "987100 [1. 0.78287335 0.26088652 0.44923303 0.23431104 0.1131003\n", " 0.15512259 0.09475481 0.59500101 0.37862107 0.40478926] MSE = 0.0004932402933487902 ll= -9.563623253025474\n", "987200 [1. 0.78289535 0.2608601 0.44923919 0.23428731 0.11308885\n", " 0.15512613 0.09474521 0.59503191 0.3786202 0.40474825] MSE = 0.0004922468396104267 ll= -6.512314254795083\n", "987300 [1. 0.78289404 0.26083367 0.44924737 0.23426357 0.11307739\n", " 0.15511041 0.09473562 0.59503343 0.3785859 0.40471029] MSE = 0.0004899149355042439 ll= -1.5059712919558215\n", "987400 [1. 0.78282893 0.26080725 0.44920693 0.23423985 0.11306594\n", " 0.1550947 0.09472602 0.5949762 0.37854755 0.4046693 ] MSE = 0.000486002033274456 ll= -1.5059712919558215\n", "987500 [1. 0.78274965 0.26078084 0.44916143 0.23421612 0.11305449\n", " 0.155079 0.09471643 0.59491594 0.37850922 0.40462832] MSE = 0.000481945210026782 ll= -1.5059712919558215\n", "987600 [1. 0.78268557 0.26075443 0.44912405 0.23419241 0.11304304\n", " 0.15506329 0.09470684 0.59486684 0.37847089 0.40458734] MSE = 0.0004781968410350892 ll= -6.1302522651891245\n", "987700 [1. 0.78267315 0.26072803 0.44908364 0.23416869 0.11303159\n", " 0.15507695 0.09469725 0.59484609 0.37843965 0.40455853] MSE = 0.00047571871227845706 ll= -1.5059712919558215\n", "987800 [1. 0.7826506 0.26070163 0.44906146 0.23414498 0.11302015\n", " 0.15506125 0.09468766 0.59481624 0.37843778 0.40456211] MSE = 0.00047492590212682036 ll= -10.371936313778978\n", "987900 [1. 0.78263616 0.26067524 0.44906256 0.23412128 0.11300871\n", " 0.15505365 0.09467807 0.59480462 0.37839947 0.40452318] MSE = 0.0004722265527969972 ll= -5.784770019535596\n", "988000 [1. 0.78265816 0.26064885 0.44906468 0.23409758 0.11299727\n", " 0.15504403 0.09466849 0.59484158 0.37837028 0.40448426] MSE = 0.00047058210830967193 ll= -5.230037597272273\n", "988100 [1. 0.78265385 0.26062247 0.44902935 0.23407389 0.11298583\n", " 0.1550334 0.09465891 0.59484312 0.37836741 0.40447166] MSE = 0.00046970953919585475 ll= -1.5059712919558215\n", "988200 [1. 0.78257464 0.26059609 0.44898391 0.2340502 0.1129744\n", " 0.15501771 0.09464933 0.59478292 0.37832912 0.40443073] MSE = 0.00046576976568282795 ll= -1.5059712919558215\n", "988300 [1. 0.78249545 0.26056972 0.44893847 0.23402651 0.11296296\n", " 0.15500202 0.09463975 0.59472273 0.37829083 0.4043898 ] MSE = 0.0004618644406495612 ll= -1.5059712919558215\n", "988400 [1. 0.78244764 0.26054336 0.44889912 0.23400283 0.11295153\n", " 0.15499241 0.09463017 0.59468987 0.37825255 0.40434888] MSE = 0.00045852637969817243 ll= -5.965811013177933\n", "988500 [1. 0.7824049 0.260517 0.448879 0.23397916 0.11294011\n", " 0.15499393 0.0946206 0.59464286 0.37821429 0.40430797] MSE = 0.0004551781129734124 ll= -1.5059712919558215\n", "988600 [1. 0.78232575 0.26049064 0.44883359 0.23395549 0.11292868\n", " 0.15497825 0.09461103 0.5945827 0.37817602 0.40426707] MSE = 0.00045135673099605934 ll= -1.5059712919558215\n", "988700 [1. 0.78232956 0.2604916 0.44881853 0.23393182 0.11291726\n", " 0.15497269 0.09460146 0.59453773 0.37813777 0.40423427] MSE = 0.00044873360800879586 ll= -6.288517039464969\n", "988800 [1. 0.78227268 0.26046526 0.44877617 0.23390816 0.11290584\n", " 0.15495803 0.09459189 0.59448973 0.37809952 0.40419339] MSE = 0.000445250730160403 ll= -1.5059712919558215\n", "988900 [1. 0.78219357 0.26043892 0.44873078 0.23388451 0.11289442\n", " 0.15494235 0.09458232 0.59442961 0.37806129 0.40415251] MSE = 0.00044150686026814094 ll= -1.5059712919558215\n", "989000 [1. 0.78215896 0.26041258 0.44870765 0.23386086 0.112883\n", " 0.15493376 0.09457276 0.59440591 0.37806452 0.4041531 ] MSE = 0.0004408282570575415 ll= -5.536687711774719\n", "989100 [1. 0.78218099 0.26038625 0.44869869 0.23383721 0.11287159\n", " 0.15493023 0.0945632 0.59439838 0.37811527 0.40421335] MSE = 0.00044375673615196763 ll= -3.7086461491683935\n", "989200 [1. 0.78220301 0.26035992 0.4486604 0.23381357 0.11286018\n", " 0.15492973 0.09456374 0.59440501 0.37814983 0.40427358] MSE = 0.00044635355543918957 ll= -6.144130413787888\n", "989300 [1. 0.78222503 0.26036696 0.44868176 0.23380206 0.11287404\n", " 0.15491913 0.09455419 0.59441468 0.37812576 0.40426405] MSE = 0.0004457177335920686 ll= -3.692401466664149\n", "989400 [1. 0.78224704 0.26034064 0.44868392 0.23377843 0.11286263\n", " 0.15491358 0.09454463 0.59443243 0.37816133 0.40430709] MSE = 0.0004480388924484718 ll= -5.665498781136865\n", "989500 [1. 0.78226097 0.26031433 0.44867799 0.2337548 0.11285122\n", " 0.15493329 0.09453507 0.59443097 0.37815242 0.40428947] MSE = 0.0004471239704506038 ll= -7.859896795657816\n", "989600 [1. 0.78228297 0.26028802 0.44869227 0.23373118 0.11283982\n", " 0.15495907 0.09453461 0.59445275 0.37821021 0.40434967] MSE = 0.00045068129779197487 ll= -6.602752393079932\n", "989700 [1. 0.78230497 0.26026172 0.44869846 0.23370756 0.11282842\n", " 0.15494947 0.09452506 0.59447049 0.37826293 0.40440986] MSE = 0.0004540128430381205 ll= -5.610914326660091\n", "989800 [1. 0.78232697 0.26023542 0.44871173 0.23368394 0.11281702\n", " 0.15494291 0.09451551 0.59446196 0.37832576 0.40447004] MSE = 0.0004574144760061585 ll= -5.996854256215331\n", "989900 [1. 0.7823237 0.26021519 0.44868559 0.23366034 0.11280562\n", " 0.15492726 0.09450596 0.59445646 0.37834815 0.40449182] MSE = 0.0004583080162208028 ll= -1.5059712919558215\n", "990000 [1. 0.78224467 0.26018891 0.44864027 0.23363673 0.11279422\n", " 0.15491161 0.09449641 0.5943964 0.37830993 0.40445095] MSE = 0.00045455748426026336 ll= -1.5059712919558215\n", "990100 [1. 0.78226566 0.26016263 0.44862424 0.23361313 0.11278283\n", " 0.15493232 0.09448687 0.59442323 0.37831515 0.40445859] MSE = 0.0004550594369656147 ll= -4.764544297649012\n", "990200 [1. 0.78228765 0.26013635 0.44859812 0.23358954 0.11277144\n", " 0.15492476 0.09447733 0.59444804 0.37835471 0.40450056] MSE = 0.0004574874882510231 ll= -5.386007702725049\n", "990300 [1. 0.78230963 0.26011008 0.4485821 0.23356595 0.11276005\n", " 0.15490911 0.09446778 0.59446172 0.37841446 0.40456069] MSE = 0.0004609541670788466 ll= -5.468745979773765\n", "990400 [1. 0.78233162 0.26008381 0.44853984 0.23354236 0.11274866\n", " 0.15491669 0.09446733 0.59448854 0.37847622 0.40462082] MSE = 0.00046457749012823567 ll= -6.2694213217016905\n", "990500 [1. 0.78235359 0.26005755 0.44853998 0.23351878 0.11273728\n", " 0.15493942 0.09448102 0.594479 0.37849657 0.40465973] MSE = 0.00046630770036211954 ll= -5.687642245477315\n", "990600 [1. 0.78229076 0.2600313 0.4484947 0.2334952 0.1127259\n", " 0.15492378 0.09447148 0.59443513 0.37845835 0.40461888] MSE = 0.00046282698197991877 ll= -1.5059712919558215\n", "990700 [1. 0.782234 0.26000505 0.44845447 0.23347163 0.11271452\n", " 0.15490814 0.09446194 0.59439633 0.37842015 0.40458005] MSE = 0.0004595384486182746 ll= -5.360965205165968\n", "990800 [1. 0.7821611 0.2599788 0.44841324 0.23344807 0.11270314\n", " 0.1548925 0.09445241 0.59433633 0.37838195 0.40453921] MSE = 0.0004558992334813217 ll= -1.5059712919558215\n", "990900 [1. 0.78212152 0.25995256 0.44838514 0.23342451 0.11269176\n", " 0.15487687 0.09444287 0.59430258 0.3783478 0.40449839] MSE = 0.000452914052105906 ll= -4.705455397013517\n", "991000 [1. 0.78214351 0.25993642 0.44840044 0.23340095 0.11268039\n", " 0.15486124 0.09443334 0.59432738 0.37835301 0.404506 ] MSE = 0.0004535504509110774 ll= -3.2303843338064686\n", "991100 [1. 0.78216549 0.25991019 0.44840061 0.2333774 0.11266902\n", " 0.1548779 0.09442381 0.59433502 0.37838446 0.4045338 ] MSE = 0.0004552757864714806 ll= -7.5472068667478895\n", "991200 [1. 0.78211381 0.25988397 0.44836041 0.23335385 0.11265765\n", " 0.1548653 0.09441429 0.59428211 0.37835334 0.40450005] MSE = 0.0004522953125635395 ll= -4.464266042431264\n", "991300 [1. 0.78213579 0.25985775 0.44836259 0.23333031 0.11264629\n", " 0.15486178 0.09440476 0.59429278 0.37837369 0.40452482] MSE = 0.00045367463229393574 ll= -6.154407748551076\n", "991400 [1. 0.78215777 0.25983153 0.44834258 0.23330677 0.11263492\n", " 0.15484616 0.09439524 0.59431454 0.37833552 0.40448401] MSE = 0.0004515685287667107 ll= -7.564379198994449\n", "991500 [1. 0.78217975 0.25980533 0.44830442 0.23328324 0.11262356\n", " 0.15483054 0.09438572 0.5943494 0.37829736 0.40444321] MSE = 0.00044954589069659675 ll= -4.591086754025599\n", "991600 [1. 0.78220171 0.25977912 0.4482592 0.23325971 0.1126122\n", " 0.15481493 0.0943762 0.59431064 0.3782592 0.40447201] MSE = 0.0004488786475142834 ll= -2.7163313491791956\n", "991700 [1. 0.78222368 0.259762 0.4482624 0.23323618 0.11260085\n", " 0.15481948 0.09436769 0.59430012 0.37824425 0.40449274] MSE = 0.00044900169565791753 ll= -4.2640255120935615\n", "991800 [1. 0.78224564 0.25973581 0.44826863 0.23321267 0.11258949\n", " 0.15482202 0.09435817 0.59433296 0.37827569 0.4045296 ] MSE = 0.0004512627912121881 ll= -6.350996175589118\n", "991900 [1. 0.78226759 0.25971264 0.44826275 0.23318915 0.11257814\n", " 0.15481145 0.09434866 0.59434463 0.37831418 0.40457854] MSE = 0.000453869597564871 ll= -4.983669155734394\n", "992000 [1. 0.78228955 0.25968646 0.44825285 0.23316564 0.11256679\n", " 0.15480391 0.09433915 0.59437746 0.3782962 0.40453776] MSE = 0.00045247000565544406 ll= -5.387136789898198\n", "992100 [1. 0.78231149 0.25967137 0.44827218 0.23314214 0.11255544\n", " 0.15482762 0.09432964 0.5944002 0.37831653 0.40455847] MSE = 0.00045390466889633056 ll= -13.110931213260525\n", "992200 [1. 0.78233343 0.25974599 0.44832779 0.23321439 0.11256325\n", " 0.15482411 0.09432013 0.59439673 0.37836105 0.40458422] MSE = 0.00045633614442134034 ll= -8.782260471562317\n", "992300 [1. 0.78235537 0.2598206 0.44838339 0.23329168 0.112564\n", " 0.15486092 0.09431869 0.59441645 0.37836726 0.4045636 ] MSE = 0.00045660291304554864 ll= -6.9052325878345595\n", "992400 [1. 0.78237731 0.25989519 0.44843898 0.23336894 0.11256777\n", " 0.15484531 0.09430918 0.59443616 0.37834526 0.40455407] MSE = 0.00045644797811213487 ll= -5.713545024727818\n", "992500 [1. 0.78239923 0.25996473 0.44848751 0.23343108 0.11257054\n", " 0.15484885 0.09429968 0.59445083 0.37838674 0.40458988] MSE = 0.00045928050329618105 ll= -6.027877006379009\n", "992600 [1. 0.78239093 0.25996474 0.44850176 0.23342771 0.11255919\n", " 0.15486247 0.0942932 0.59445038 0.37835264 0.40454912] MSE = 0.0004570306336268861 ll= -1.5059712919558215\n", "992700 [1. 0.78231211 0.25993855 0.44845658 0.23340419 0.11254785\n", " 0.15484687 0.0942837 0.59439049 0.37831453 0.40450836] MSE = 0.00045332785204392294 ll= -1.5059712919558215\n", "992800 [1. 0.78223431 0.25991236 0.4484114 0.23338068 0.11253652\n", " 0.15483127 0.0942742 0.59433061 0.37827642 0.40446761] MSE = 0.0004496665209424917 ll= -1.5059712919558215\n", "992900 [1. 0.78215552 0.25988618 0.44836624 0.23335717 0.11252518\n", " 0.15481567 0.09426471 0.59427075 0.37823832 0.40442687] MSE = 0.0004460316572106911 ll= -1.5059712919558215\n", "993000 [1. 0.78210495 0.25986001 0.44832511 0.23333367 0.11251385\n", " 0.15480008 0.09425521 0.59423608 0.37820425 0.40438614] MSE = 0.0004429754530100118 ll= -5.446465682109623\n", "993100 [1. 0.78208459 0.25983384 0.4483001 0.23331017 0.11250252\n", " 0.15478751 0.09424572 0.59421551 0.37821249 0.40440181] MSE = 0.00044310908888635294 ll= -4.683176539959571\n", "993200 [1. 0.78210654 0.25980767 0.44829322 0.23328668 0.11249119\n", " 0.15479811 0.09423623 0.59420501 0.37823281 0.40442956] MSE = 0.00044434945384992755 ll= -5.00443102032591\n", "993300 [1. 0.78211438 0.25978151 0.44829138 0.23326319 0.11247986\n", " 0.1547946 0.09422674 0.59421466 0.37819774 0.40438884] MSE = 0.0004421906765449753 ll= -1.5059712919558215\n", "993400 [1. 0.78206483 0.25975536 0.44824625 0.23323971 0.11246854\n", " 0.15477902 0.09421726 0.59418001 0.37815967 0.40434813] MSE = 0.00043905573224116326 ll= -1.5059712919558215\n", "993500 [1. 0.78202235 0.25972921 0.44821824 0.23321623 0.11245722\n", " 0.15476847 0.09420777 0.59414536 0.3781216 0.40430743] MSE = 0.0004360300957941203 ll= -6.1627967244956485\n", "993600 [1. 0.78196578 0.25970307 0.44817816 0.23319275 0.1124459\n", " 0.15475289 0.09419829 0.5940926 0.37808354 0.40426673] MSE = 0.00043274293645264444 ll= -1.5059712919558215\n", "993700 [1. 0.78188708 0.25967693 0.44813305 0.23316928 0.11243458\n", " 0.15473732 0.09418881 0.59403281 0.37804549 0.40422605] MSE = 0.0004292612002631971 ll= -1.5059712919558215\n", "993800 [1. 0.7818567 0.2596508 0.44810003 0.23314582 0.11242327\n", " 0.1547459 0.09417933 0.59400523 0.37801147 0.40419342] MSE = 0.0004267472147619579 ll= -6.994761120484714\n", "993900 [1. 0.78186557 0.25962467 0.44807507 0.23312236 0.11241195\n", " 0.15475347 0.09416985 0.5940169 0.37800664 0.40418193] MSE = 0.0004262444147139387 ll= -4.872933620911675\n", "994000 [1. 0.78188751 0.25959855 0.44807023 0.2330989 0.11240064\n", " 0.15478016 0.09416038 0.59404367 0.37797465 0.40414126] MSE = 0.000424427746640781 ll= -6.116710001809881\n", "994100 [1. 0.78184105 0.25957243 0.44802515 0.23307545 0.11238934\n", " 0.15476962 0.09415091 0.59400503 0.37793662 0.4041006 ] MSE = 0.00042139035852661297 ll= -1.5059712919558215\n", "994200 [1. 0.78182477 0.25955538 0.44799618 0.23305201 0.11237803\n", " 0.15477618 0.09414143 0.59399658 0.3778986 0.40405995] MSE = 0.00041884741924010484 ll= -5.196252901244385\n", "994300 [1. 0.78183665 0.25953631 0.44800543 0.23302857 0.11236673\n", " 0.15478274 0.09413599 0.59401831 0.37786864 0.40401931] MSE = 0.0004170693630316212 ll= -8.851214914721579\n", "994400 [1. 0.78178719 0.25951021 0.44797144 0.23300513 0.11235543\n", " 0.15476918 0.09412652 0.59397566 0.37784471 0.40398773] MSE = 0.00041467264919593295 ll= -4.215174436837023\n", "994500 [1. 0.78179304 0.25948411 0.44795153 0.2329817 0.11234413\n", " 0.15479385 0.09411706 0.59399437 0.37780772 0.40395414] MSE = 0.00041275841779600373 ll= -5.043998914636897\n", "994600 [1. 0.78173957 0.25945802 0.44791453 0.23295827 0.11233283\n", " 0.15479236 0.09411966 0.59395576 0.37776973 0.40391352] MSE = 0.00040981574460985804 ll= -1.5059712919558215\n", "994700 [1. 0.78166197 0.25943193 0.4478695 0.23293485 0.11232154\n", " 0.15477679 0.0941102 0.59389604 0.37773175 0.40387291] MSE = 0.0004065008268152269 ll= -1.5059712919558215\n", "994800 [1. 0.7815844 0.25940585 0.44782447 0.23291143 0.11231024\n", " 0.15476123 0.09410073 0.59383633 0.37769378 0.40383231] MSE = 0.00040321935632693857 ll= -1.5059712919558215\n", "994900 [1. 0.7815953 0.25939385 0.44781765 0.23290109 0.11229895\n", " 0.1547698 0.09409127 0.59383796 0.37767189 0.40380881] MSE = 0.0004019586881427651 ll= -10.540785264561437\n", "995000 [1. 0.78161725 0.25946829 0.44786813 0.23297819 0.11237511\n", " 0.15475626 0.09416926 0.59385667 0.37763393 0.40376822] MSE = 0.00040093650572990756 ll= -7.192088082253954\n", "995100 [1. 0.7816392 0.25954271 0.44792362 0.23305528 0.11246432\n", " 0.15475477 0.0942603 0.59386834 0.37759598 0.40372764] MSE = 0.0004000214009166429 ll= -7.13422928054665\n", "995200 [1. 0.78166114 0.25957693 0.44794995 0.23304994 0.1125103\n", " 0.15477138 0.09429304 0.59389308 0.37756808 0.40369008] MSE = 0.0003989345849436394 ll= -5.662447680043678\n", "995300 [1. 0.78168308 0.25955084 0.44791801 0.23302653 0.112499\n", " 0.15480707 0.09428959 0.59390876 0.37756129 0.4036867 ] MSE = 0.0003987410388334734 ll= -7.187288303744408\n", "995400 [1. 0.78170501 0.25952678 0.44794936 0.23300311 0.11248769\n", " 0.15480056 0.09428012 0.59393751 0.37761378 0.40374661] MSE = 0.00040208295712383375 ll= -4.664906056472558\n", "995500 [1. 0.78172694 0.2595007 0.4479566 0.23297971 0.11247639\n", " 0.1548051 0.09427868 0.59395318 0.37765823 0.4038035 ] MSE = 0.0004050274505160254 ll= -4.714041836341195\n", "995600 [1. 0.78174887 0.25947464 0.44793872 0.2329563 0.11246509\n", " 0.15479658 0.09426921 0.59397891 0.37769061 0.40383124] MSE = 0.00040685250892544755 ll= -4.57102877576505\n", "995700 [1. 0.78177079 0.25944857 0.44792989 0.2329329 0.1124538\n", " 0.15482724 0.09425974 0.59400663 0.37765267 0.40379068] MSE = 0.00040493880476292593 ll= -4.357312525878864\n", "995800 [1. 0.78179271 0.25942553 0.44792307 0.23290951 0.1124425\n", " 0.15485387 0.09425028 0.59403234 0.37764789 0.4037903 ] MSE = 0.00040501309552505127 ll= -5.558480534135087\n", "995900 [1. 0.78179755 0.25939948 0.44790118 0.23288612 0.11243121\n", " 0.15484836 0.09424081 0.59403896 0.37762 0.40374975] MSE = 0.00040308831866144317 ll= -7.181525163168327\n", "996000 [1. 0.78181946 0.25937343 0.44787027 0.23286274 0.11241992\n", " 0.15484788 0.09423135 0.59405864 0.37762526 0.40375841] MSE = 0.0004036067279431726 ll= -4.736173507478243\n", "996100 [1. 0.78175502 0.25934739 0.4478253 0.23283936 0.11240863\n", " 0.15483233 0.09422189 0.59400402 0.37758735 0.40371787] MSE = 0.0004004288227641487 ll= -1.5059712919558215\n", "996200 [1. 0.78173577 0.25932135 0.44779339 0.23281598 0.11239735\n", " 0.15481679 0.09421243 0.5939996 0.37759763 0.40373456] MSE = 0.00040084858534149493 ll= -4.206014815945027\n", "996300 [1. 0.78175768 0.25929532 0.44780767 0.23279261 0.11238607\n", " 0.15482333 0.09420297 0.59402028 0.37758583 0.40371913] MSE = 0.0004003429456890883 ll= -5.655011758458783\n", "996400 [1. 0.78177958 0.2592693 0.44779183 0.23276925 0.11237479\n", " 0.15481582 0.09419352 0.59399077 0.37757804 0.4037569 ] MSE = 0.0004009577953319498 ll= -8.485645245528518\n", "996500 [1. 0.78172722 0.25924328 0.44776495 0.23274589 0.11236351\n", " 0.15480229 0.09418406 0.59395624 0.37754215 0.40371738] MSE = 0.0003981689026128255 ll= -1.5059712919558215\n", "996600 [1. 0.78174109 0.25921726 0.44778023 0.23272253 0.11235223\n", " 0.15479478 0.09417461 0.59393678 0.37754139 0.403713 ] MSE = 0.00039788740081184854 ll= -4.416480518853643\n", "996700 [1. 0.78176299 0.25924644 0.44781357 0.23273931 0.11236604\n", " 0.15479029 0.09418423 0.59395344 0.37759583 0.40377283] MSE = 0.0004013984226343592 ll= -9.9032398306511\n", "996800 [1. 0.78178489 0.25932076 0.44785693 0.23280526 0.11238888\n", " 0.15477476 0.09419484 0.59395004 0.37764924 0.40383265] MSE = 0.0004048408202120193 ll= -10.471458778292245\n", "996900 [1. 0.78180678 0.25929775 0.44785313 0.23278291 0.11237761\n", " 0.15476324 0.09418539 0.5939697 0.37767055 0.40385935] MSE = 0.00040635276227794055 ll= -5.196119504524594\n", "997000 [1. 0.78182867 0.25927174 0.44782927 0.23275955 0.11236634\n", " 0.15480289 0.09419902 0.59398335 0.37770288 0.40389207] MSE = 0.00040832731556066993 ll= -9.75249417909916\n", "997100 [1. 0.78185055 0.25924574 0.4478014 0.23273621 0.11235507\n", " 0.15482247 0.09418957 0.59401204 0.37769308 0.40385155] MSE = 0.00040715831128219004 ll= -9.151860460817273\n", "997200 [1. 0.7818634 0.25921974 0.4477936 0.23271287 0.1123438\n", " 0.15486411 0.09418213 0.59402066 0.37766222 0.40381105] MSE = 0.0004052486267043909 ll= -5.554852878600732\n", "997300 [1. 0.78182712 0.25919374 0.44776574 0.23268953 0.11233253\n", " 0.15484858 0.09417268 0.59398416 0.37762435 0.40377056] MSE = 0.00040245218267101447 ll= -5.340532762957067\n", "997400 [1. 0.78184899 0.25916775 0.44777198 0.2326662 0.11232127\n", " 0.15483405 0.09416324 0.59398476 0.37762258 0.40377118] MSE = 0.00040250227888178084 ll= -5.41817185083545\n", "997500 [1. 0.78187086 0.25914177 0.44778223 0.23264287 0.11231001\n", " 0.15482053 0.0941538 0.59401043 0.37762182 0.40374373] MSE = 0.0004020192268589447 ll= -5.445241223555232\n", "997600 [1. 0.78189273 0.2591188 0.44781554 0.23261955 0.11229875\n", " 0.15483108 0.09414436 0.59403208 0.37759699 0.40372632] MSE = 0.00040118163635718333 ll= -6.355910933872624\n", "997700 [1. 0.78183641 0.25909282 0.44777466 0.23259623 0.11228749\n", " 0.15481556 0.09413492 0.59398256 0.37755914 0.40368585] MSE = 0.0003981430243084129 ll= -1.5059712919558215\n", "997800 [1. 0.78179713 0.25906685 0.4477388 0.23257292 0.11227624\n", " 0.15480004 0.09412549 0.59395409 0.3775213 0.40364538] MSE = 0.0003954231192121083 ll= -5.278771968953939\n", "997900 [1. 0.781819 0.25904089 0.44771898 0.23254961 0.11226498\n", " 0.15482161 0.09411606 0.59397775 0.3774995 0.40361696] MSE = 0.00039429383289867086 ll= -3.0237256660816\n", "998000 [1. 0.78184087 0.25901493 0.44770017 0.23252631 0.11225373\n", " 0.15484818 0.09411765 0.59400942 0.37755086 0.40367672] MSE = 0.00039762397647511436 ll= -8.65710460278533\n", "998100 [1. 0.78186273 0.25898898 0.44769539 0.23250301 0.11224248\n", " 0.15486473 0.09410922 0.59402906 0.37761222 0.40373647] MSE = 0.0004011054406918034 ll= -3.8512704751339855\n", "998200 [1. 0.78188458 0.25896303 0.44771666 0.23247971 0.11223124\n", " 0.15486524 0.09409979 0.59404669 0.37759744 0.40372107] MSE = 0.00040055268103224154 ll= -5.467122487795519\n", "998300 [1. 0.78190643 0.25893709 0.44773392 0.23245642 0.11222\n", " 0.1548898 0.09410639 0.59406832 0.37762272 0.40374975] MSE = 0.00040237264458889855 ll= -7.62125225440914\n", "998400 [1. 0.78189222 0.25891115 0.4477041 0.23243314 0.11220875\n", " 0.15489332 0.09409696 0.59405389 0.37758489 0.40370931] MSE = 0.0003999351149679616 ll= -4.489613401788933\n", "998500 [1. 0.78191406 0.25888922 0.4476853 0.23240986 0.11219752\n", " 0.15491186 0.09408754 0.59405549 0.37754708 0.40366887] MSE = 0.00039789145594380435 ll= -5.92300198075905\n", "998600 [1. 0.7819359 0.25886329 0.44770556 0.23238658 0.11218628\n", " 0.15491938 0.09407812 0.59409314 0.37755333 0.4036685 ] MSE = 0.00039848532300686753 ll= -5.192042189694766\n", "998700 [1. 0.78195774 0.25885239 0.44770479 0.23237733 0.11217505\n", " 0.15491288 0.0940687 0.59412377 0.37752854 0.40365612] MSE = 0.00039785369381372933 ll= -11.974602428941912\n", "998800 [1. 0.78197957 0.2589266 0.44776009 0.23245419 0.11218184\n", " 0.15490037 0.09405928 0.59414138 0.37758286 0.40371583] MSE = 0.00040124372206579314 ll= -8.897238370127294\n", "998900 [1. 0.7820014 0.2590008 0.44780937 0.23253004 0.11224569\n", " 0.15492091 0.09410593 0.594168 0.37755406 0.40368642] MSE = 0.00040049571237977264 ll= -3.3640300504379397\n", "999000 [1. 0.78202323 0.25907498 0.44786465 0.23260286 0.11224947\n", " 0.1549124 0.09410351 0.59419461 0.37751627 0.40364601] MSE = 0.000398890782787301 ll= -8.750667383704759\n", "999100 [1. 0.78204505 0.25914915 0.44791992 0.23267968 0.11223824\n", " 0.15495696 0.09410611 0.59423123 0.37752252 0.40365065] MSE = 0.0003997657200721224 ll= -10.531391171763556\n", "999200 [1. 0.78206686 0.2592233 0.44797117 0.23275648 0.112227\n", " 0.15498148 0.09412271 0.59424382 0.37748474 0.40361325] MSE = 0.00039823685942704987 ll= -9.733378934355912\n", "999300 [1. 0.78208867 0.25929744 0.44802542 0.23283327 0.11221677\n", " 0.15499099 0.09411829 0.59424339 0.37745596 0.40358587] MSE = 0.00039703708105969036 ll= -6.296584885872791\n", "999400 [1. 0.78211048 0.25937156 0.44808066 0.23291004 0.11220554\n", " 0.1549945 0.09410888 0.59420594 0.37746523 0.40359952] MSE = 0.00039762205025061837 ll= -7.123181023355986\n", "999500 [1. 0.78213228 0.25944567 0.44813588 0.23298679 0.11223734\n", " 0.15503502 0.09413548 0.59419752 0.37743346 0.40356514] MSE = 0.00039638510222400364 ll= -8.168591067062756\n", "999600 [1. 0.78215408 0.25949875 0.44817709 0.23303952 0.11223412\n", " 0.15503452 0.09413107 0.59421611 0.37743872 0.4035918 ] MSE = 0.00039774391211055613 ll= -6.104790476974019\n", "999700 [1. 0.78217587 0.25947279 0.44816627 0.23301621 0.11222289\n", " 0.15503601 0.09412165 0.5942497 0.37747799 0.40363946] MSE = 0.0004003806734903156 ll= -6.803813077919897\n", "999800 [1. 0.78218466 0.25945384 0.44815445 0.2329929 0.11221166\n", " 0.15502251 0.09411223 0.59426028 0.37747824 0.40363709] MSE = 0.0004003410016943194 ll= -1.5059712919558215\n", "999900 [1. 0.78215643 0.25942789 0.44811462 0.23296959 0.11220044\n", " 0.15502801 0.09410282 0.59422484 0.37744049 0.40359672] MSE = 0.00039752514609653946 ll= -1.5059712919558215\n", "[1. 0.78215643 0.25942789 0.44811462 0.23296959 0.11220044\n", " 0.15502801 0.09410282 0.59422484 0.37744049 0.40359672]\n" ] } ], "source": [ "# votre code ici\n", "\n", "ref=getProbaMC(graph,[0]) \n", "rate=mh(graph,[(0,0)],burnin=100,ref=ref)\n", "print(rate)" ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "tme8_mapsi_2020_enonce", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 1 }