savefig=savefig,
cumulated=True,
upperbound=False)
else:
evaluation.plotNbCollisions(
envId, cumulated=True,
upperbound=False) # XXX To plot without saving
# --- Also plotting the frequency of collision in each arm
for piechart in [False, True]:
print("\n- Plotting the frequency of collision in each arm")
if saveallfigs:
savefig = mainfig.replace(
'main', 'main_FrequencyCollisions%s' %
('' if piechart else 'Hist'))
print(" and saving the plot to {} ...".format(savefig))
evaluation.plotFrequencyCollisions(envId,
savefig=savefig,
piechart=piechart)
else:
evaluation.plotFrequencyCollisions(
envId, piechart=piechart) # XXX To plot without saving
if saveallfigs:
print("\n\n==> To see the figures, do :\neog",
os.path.join(plot_dir,
"main*{}.png".format(hashvalue))) # DEBUG
# Done
print("Done for simulations main_multiplayers.py ...")
notify("Done for simulations main_multiplayers.py ...")
evaluation.printLastRegrets(envId)
print("\nGiving the final ranking ...")
evaluation.printFinalRanking(envId)
print("\n\n- Plotting the last regrets...")
evaluation.plotLastRegrets(envId, boxplot=True)
print("\nGiving the mean and std running times ...")
evaluation.printRunningTimes(envId)
evaluation.plotRunningTimes(envId)
print("\nGiving the mean and std running times ...")
evaluation.printMemoryConsumption(envId)
evaluation.plotMemoryConsumption(envId)
print("\n\n- Plotting the mean reward...")
evaluation.plotRegrets(envId, meanReward=True)
print("\n\n- Plotting the regret...")
evaluation.plotRegrets(envId)
print("\n- Plotting the probability of picking the best arm of time...")
evaluation.plotBestArmPulls(envId)
print("\n- Plotting the histograms of regrets...")
evaluation.plotLastRegrets(envId, sharex=True, sharey=True)
# Done
print("Done for simulations example_of_main_singleplayer ...")
notify("Done for simulations example_of_main_singleplayer ...")
))
print(" and saving the plot to {} ...".format(savefig))
evaluation.plotLastRegrets(
envId, savefig=savefig, sharex=sharex,
sharey=sharey) # XXX To save the figure
print(
" - Plotting the histograms of regrets for each algorithm separately, and saving the plots ..."
)
savefig = mainfig.replace('main', 'main_HistogramsRegret')
print(" and saving the plot to {} ...".format(savefig))
evaluation.plotLastRegrets(
envId, all_on_separate_figures=True,
savefig=savefig) # XXX To save the figure
else:
evaluation.plotLastRegrets(
envId, subplots=False) # XXX To plot without saving
# for sharex, sharey in product([True, False], repeat=2): # XXX 3 out of 4 were UGLY!
for sharex, sharey in [(True, False)]:
evaluation.plotLastRegrets(
envId, sharex=sharex,
sharey=sharey) # XXX To plot without saving
# evaluation.plotLastRegrets(envId, all_on_separate_figures=True) # XXX To plot without saving
if saveallfigs:
print("\n\n==> To see the figures, do :\neog",
os.path.join(plot_dir,
"main*{}.png".format(hashvalue))) # DEBUG
# Done
print("Done for simulations main.py ...")
notify("Done for simulations main.py ...")
evaluators=eothers)
print(
"\n\n- Plotting the centralized regret for all 'players' values, in loglog scale"
)
e0.plotRegretCentralized(envId,
loglog=True,
normalized=False,
evaluators=eothers)
print("\n\n- Plotting the centralized fairness (STD)")
e0.plotFairness(envId, fairness='STD', evaluators=eothers)
print(
"\n- Plotting the cumulated total nb of collision as a function of time for all 'players' values"
)
e0.plotNbCollisions(envId, cumulated=True, evaluators=eothers)
print(
"\n\n- Plotting the number of switches as a function of time for all 'players' values"
)
e0.plotNbSwitchsCentralized(envId, cumulated=True, evaluators=eothers)
print("\n- Plotting the histograms of regrets")
e0.plotLastRegrets(envId, sharex=True, sharey=True, evaluators=eothers)
# e0.plotLastRegrets(envId, all_on_separate_figures=True, evaluators=eothers)
# Done
print("Done for simulations example_of_main_multiplayers_more.py ...")
notify("Done for simulations example_of_main_multiplayers_more.py ...")
