def trainAndCompare(self, K, noise):
self.rs.deltaK = K
for i in self.rs.sizeOfTarget:
launchCMAESForAllPoint(self.rs, i, None, noise)
resultPath = os.getcwd() + "../Data/CMAESK" + str(K) + "/"
resultName = "geneForHits/finalX/x.last"
nameTheta = "Best"
name = "geneForHits"
nbret = 50
generateFromCMAESNController(nbret, self.rs, nameTheta, name, noise)
result1 = np.loadtxt(resultPath + "0.005/" + resultName)
result2 = np.loadtxt(resultPath + "0.01/" + resultName)
result3 = np.loadtxt(resultPath + "0.02/" + resultName)
result4 = np.loadtxt(resultPath + "0.04/" + resultName)
return -(cp.kl(result1, self.experiment1, 0.0025) +
cp.kl(result2, self.experiment2, 0.005) +
cp.kl(result3, self.experiment3, 0.01) +
cp.kl(result4, self.experiment4, 0.02))
def trainAndCompare(self, K, noise):
self.rs.deltaK = K
for i in self.rs.sizeOfTarget:
launchCMAESForAllPoint(self.rs, i, None, noise)
resultPath = os.getcwd() + "../Data/CMAESK" + str(K) + "/"
resultName = "geneForHits/finalX/x.last"
nameTheta = "Best"
name = "geneForHits"
nbret = 50
generateFromCMAESNController(nbret, self.rs, nameTheta, name, noise)
result1 = np.loadtxt(resultPath + "0.005/" + resultName)
result2 = np.loadtxt(resultPath + "0.01/" + resultName)
result3 = np.loadtxt(resultPath + "0.02/" + resultName)
result4 = np.loadtxt(resultPath + "0.04/" + resultName)
return -(
cp.kl(result1, self.experiment1, 0.0025)
+ cp.kl(result2, self.experiment2, 0.005)
+ cp.kl(result3, self.experiment3, 0.01)
+ cp.kl(result4, self.experiment4, 0.02)
)
experimentalFolder = "~/ArmModelPython/Data/ExperimentalHits/"
experiment1 = np.loadtxt(experimentalFolder + "hits0.005")[:, 1]
experiment2 = np.loadtxt(experimentalFolder + "hits0.01")[:, 1]
experiment3 = np.loadtxt(experimentalFolder + "hits0.02")[:, 1]
experiment4 = np.loadtxt(experimentalFolder + "hits0.04")[:, 1]
print(experiment1.shape[0])
resultPath = "~/ArmModelPython/Data/CMAESK20/"
resultName = "50/finalX/x.last"
result1 = np.loadtxt(resultPath + "0.005/" + resultName)
result2 = np.loadtxt(resultPath + "0.01/" + resultName)
result3 = np.loadtxt(resultPath + "0.02/" + resultName)
result4 = np.loadtxt(resultPath + "0.04/" + resultName)
print("chi2, taille 0.005 : " + str(cp.chi2(result1, experiment1)))
print("KS, taille 0.005 : " + str(cp.ks(result1, experiment1)))
print("MWWRankSum, taille 0.005 : " + str(cp.MWWRankSum(result1, experiment1)))
print("KL, taille 0.005 : " + str(cp.kl(result1, experiment1)))
print cp.mw(np.random.normal(0, 0.005, 10000),
np.random.normal(0, 0.005, 10000))
print cp.ks(np.random.normal(0, 0.005, 10000),
np.random.normal(0, 0.005, 10000))
print(
cp.kl(np.random.normal(0, 0.005, 10000), np.random.normal(0, 0.005,
10000)))
import Utils.Compare as cp
import numpy as np
import matplotlib.pyplot as plt
experimentalFolder="~/ArmModelPython/Data/ExperimentalHits/"
experiment1 = np.loadtxt(experimentalFolder+"hits0.005")[:,1]
experiment2 = np.loadtxt(experimentalFolder+"hits0.01")[:,1]
experiment3 = np.loadtxt(experimentalFolder+"hits0.02")[:,1]
experiment4 = np.loadtxt(experimentalFolder+"hits0.04")[:,1]
print(experiment1.shape[0])
resultPath="~/ArmModelPython/Data/CMAESK20/"
resultName="50/finalX/x.last"
result1= np.loadtxt(resultPath+"0.005/"+resultName)
result2= np.loadtxt(resultPath+"0.01/"+resultName)
result3= np.loadtxt(resultPath+"0.02/"+resultName)
result4= np.loadtxt(resultPath+"0.04/"+resultName)
print ("chi2, taille 0.005 : " + str(cp.chi2(result1, experiment1)))
print ("KS, taille 0.005 : " + str(cp.ks(result1, experiment1)))
print ("MWWRankSum, taille 0.005 : " + str(cp.MWWRankSum(result1, experiment1)))
print ("KL, taille 0.005 : " + str(cp.kl(result1, experiment1)))
print cp.mw(np.random.normal(0,0.005,10000),np.random.normal(0,0.005,10000))
print cp.ks(np.random.normal(0,0.005,10000),np.random.normal(0,0.005,10000))
print (cp.kl(np.random.normal(0,0.005,10000),np.random.normal(0,0.005,10000)))