def __init__(self):
environment = EnvironmentManager()
# Categories contiene la scelta delle feature (teen/notteen) (employed/notemployed)
self.categories = environment.GetIndexedCategories()
self.features = environment.features
self.featureSpace = environment.featureSpace
self.probabilities = np.array(environment.probabilities)
self.possiblePrices = np.array(environment.prices)
self.nArms = len(self.possiblePrices)
self.expLogs = []
self.betaParams = []
self.week = -1
def __init__(self, budget=10, nArms=10, singlePrice=False):
self.budget = budget
self.nArms = nArms
self.budgets = np.linspace(0.0, self.budget, self.nArms)
environment = EnvironmentManager()
self.phaseLabels = environment.phaseLabels
self.phaseWeights = environment.GetPhaseWeights()
self.featureLabels = environment.featureLabels
self.clickFunctions = environment.clickFunctions
self.sigma = environment.sigma
self.categories = environment.GetIndexedCategories()
self.features = environment.features
self.featureSpace = environment.featureSpace
self.personType = np.array(environment.probabilities)
self.possiblePrices = np.array(environment.prices)
self.singlePrice = singlePrice
self.optSuperArmReward = self.RunClairvoyant()
self.optRewardsPerExperiment = []
self.gptsRewardsPerExperiment = []
