def __init__(self, budget=5.0, nArms=6):
self.budget = budget
self.nArms = nArms
self.budgets = np.linspace(0.0, self.budget, self.nArms)
advertisingEnvironment = EnvironmentManager()
self.realValues = None
self.phaseLabels = advertisingEnvironment.phaseLabels
self.phaseWeights = advertisingEnvironment.GetPhaseWeights()
self.featureLabels = advertisingEnvironment.featureLabels
self.clickFunctions = advertisingEnvironment.clickFunctions
self.sigma = advertisingEnvironment.sigma
self.OptSuperArmReward = None
self.optRewardsPerExperiment = []
self.gptsRewardsPerExperiment = []
def __init__(self, budget=10.0, n_arms=10, sampleFactor=10):
self.budget = budget
self.nArms = n_arms
self.budgets = np.linspace(0.0, self.budget, self.nArms)
env = EnvironmentManager()
self.phaseLabels = env.phaseLabels
self.phaseWeights = env.GetPhaseWeights()
self.phaseList = env.GetPhaseList(sampleFactor)
self.phaseLen = len(self.phaseList)
self.featureLabels = env.featureLabels
self.clickFunctions = env.clickFunctions
self.sigma = env.sigma
self.optimalSuperArmRewards = self.RunClairvoyant()
self.optRewardsPerExperiment = []
self.gptsRewardsPerExperiment = []
self.swgptsReardsPerExperiment = []
self.windowSize = None
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 = []
