analyse.py

#! /usr/bin/env python2

import os
from roboTraining.analysis import *

if __name__ == "__main__":

	# Create Analysis object and load results folder
	an = Analysis(root=".", folder="CMA4")#cl/Machine-7/20161123_212706/")
	an.load()

	# General plots
	# for u in ["score", "distance", "power"]:
	# 	an.plot_all_raws(unit=u)
	# 	an.plot_all_raws_av(unit=u)
	#an.plot_all_gens()
	# an.plot_all_conv_errs()
	# an.plot_all_state_spaces()
	# an.plot_all_params()

	# Simulate best individu
	# score, index1, index2 = an.get_best_ind()
	# for a in [0.01]:#, 1, 0.001, 0.0001]:#, 0.001, 0.01, 0.1, 1]:
	# 	an.simulate_ind(index1, index2, simTime=50, movie=False, simNoise=0.01, \
	# 		alpha=a, rc=True, openPhase=0.3, beta=0.95, trainingPhase=0.8)

	# Simtime analysis
	# an.simtime()

	# Pareto Anaysis
	# an.pareto()
	#an.pareto_dist()
	#an.pareto_power()

	# Spring Mass values analysis
	# an.km()

	# Omega value analysis
	#an.freq()
	#an.freq_av()

	# Nodes number value analysis
	#an.nodes()
	an.nodes_CL()
	#an.plot_LC()

	# Noise analysis
	#an.plot_all_noise_sims()
	#an.plot_all_noise_params()
	#an.plot_all_noise_control()