def __init__(self, parameters=None, xmlHandler=NumpyXMLHandler(), xmlLabel=None, xmlComment=None):
NRLSampler.__init__(self, parameters, xmlHandler, xmlLabel, xmlComment)
# Comment setting of beta parameter since it is properly handled in the base class
# self.beta = self.parameters[self.P_BETA]
## habituation speed sampling parameters
self.sampleHabitFlag = self.parameters[self.P_SAMPLE_HABITS]
self.habits = self.parameters[self.P_HABITS_INI] #Habituation initialization
if self.parameters.has_key(self.P_TRUE_HABITS):
self.trueHabits = params[self.P_TRUE_HABITS] #load true habits if exist
else :
self.trueHabits = None
self.Lexp = self.parameters[self.P_HAB_ALGO_PARAM] # parametre pour la Laplacienne tronquee
self.habitsHistory = None # pour la sauvegarde des donnees
self.outputRatio = self.parameters[self.P_OUTPUT_RATIO] #affiche ou pas les ratio
if self.outputRatio :
self.ratioHistory = None #pour voir les ratio
self.ratiocourbeHistory = None #pour voir la courbe des ratio
self.labelsColors = self.parameters[self.P_LABELS_COLORS]
def __init__(self, parameters=None, xmlHandler=NumpyXMLHandler(),
xmlLabel=None, xmlComment=None):
NRLSampler.__init__(self, parameters, xmlHandler, xmlLabel, xmlComment)
