from suite import MySuite
from matplotlib import pyplot as plt
from numpy import *
mysuite = MySuite()
exps = mysuite.get_exps()
print 'lowest offset for experiment normal:', mysuite.get_value(exps[0], 0, 'offset', 'min')
print 'lowest offset for experiment highstd:', mysuite.get_value(exps[1], 0, 'offset', 'min')
# plot results
plt.plot(mysuite.get_history(exps[0], 0, 'offset'), linewidth=2, color='blue', label='std=1')
plt.plot(mysuite.get_history(exps[1], 0, 'offset'), linewidth=2, color='red', label='std=5')
plt.xlabel('iterations')
plt.ylabel('offset')
plt.title('sample mean offset to true mean')
plt.legend()
plt.show()
from suite import MySuite
# create the object of your suite
mysuite = MySuite()
# list of all experiments with get_exps()
exps = mysuite.get_exps()
print "list of available experiments:", exps
print "last value of 'beta' in repetition number 2 (2.log):", \
mysuite.get_value(exps[0], 2, 'beta', 'last')
print "biggest value of 'iter' in repetition number 0 (0.log):", \
mysuite.get_value(exps[0], 0, 'iter', 'max')
print "history of values of 'iter' in repetition number 4 (4.log):", \
mysuite.get_history(exps[0], 4, 'iter')
from suite import MySuite
from matplotlib import pyplot as plt
from numpy import *
mysuite = MySuite()
exps = mysuite.get_exps()
print 'lowest offset for experiment normal:', mysuite.get_value(exps[0], 0, 'offset', 'min')
print 'lowest offset for experiment highstd:', mysuite.get_value(exps[1], 0, 'offset', 'min')
# plot results
plt.plot(mysuite.get_history(exps[0], 0, 'offset'), linewidth=2, color='blue', label='std=1')
plt.plot(mysuite.get_history(exps[1], 0, 'offset'), linewidth=2, color='red', label='std=5')
plt.xlabel('iterations')
plt.ylabel('offset')
plt.title('sample mean offset to true mean')
plt.legend()
plt.show()