def GenerateRichDataFromTheta(rs, sizeOfTarget, foldername, thetaFile, repeat, save): exp = Experiments(rs, sizeOfTarget, save, foldername,thetaFile,rs.popsizeCmaes,rs.period) cost = exp.runRichTrajectories(repeat) print("Average cost: ", cost) print("foldername : ", foldername) if (save): exp.saveCost()
def GenerateRichDataFromTheta(rs, sizeOfTarget, foldername, thetaFile, repeat, save): exp = Experiments(rs, sizeOfTarget, save, foldername, thetaFile, rs.popsizeCmaes, rs.period) cost = exp.runRichTrajectories(repeat) print("Average cost: ", cost) print("foldername : ", foldername) if (save): exp.saveCost()
def GenerateRichDataFromTheta(rs, target_size, foldername, thetaFile, repeat, save): ''' Generate Data from a given theta file Input: -target_size, size of the target, float -save: do we save the results (false when running CMAES)? True = Yes, False = No ''' os.system("rm "+foldername+"Log/*.log") exp = Experiments(rs, target_size, save, foldername,thetaFile,rs.popsizeCmaes,rs.period) cost = exp.runRichTrajectories(repeat) print("Average cost: ", cost) print("foldername : ", foldername) if (save): exp.saveCost()
def GenerateRichDataFromTheta(rs, target_size, foldername, thetaFile, repeat, save): ''' Generate Data from a given theta file Input: -target_size, size of the target, float -save: do we save the results (false when running CMAES)? True = Yes, False = No ''' os.system("rm " + foldername + "Log/*.log") exp = Experiments(rs, target_size, save, foldername, thetaFile, rs.popsizeCmaes, rs.period) cost = exp.runRichTrajectories(repeat) print("Average cost: ", cost) print("foldername : ", foldername) if (save): exp.saveCost()