def __init__(self, dimension, alpha, lambda_, n, W, RankoneInverse=False):
CoLinUCB_SelectUserAlgorithm.__init__(self,
dimension=dimension,
alpha=alpha,
lambda_=lambda_,
n=n,
W=W,
RankoneInverse=RankoneInverse)
self.USERS = GOBLinSharedStruct(dimension, lambda_, n, W,
RankoneInverse)
self.CanEstimateUserPreference = False
self.CanEstimateCoUserPreference = True
self.CanEstimateW = False
def __init__(self, dimension, alpha, lambda_, n, W):
CoLinUCB_SelectUserAlgorithm.__init__(self, dimension, alpha, lambda_,
n, W)
self.USERS = GOBLinSharedStruct(dimension, lambda_, n, W)
type_="UniformTheta",
signature=AM.signature,
sparseLevel=sparseLevel,
poolArticleSize=poolSize,
NoiseScale=NoiseScale,
epsilon=epsilon,
Gepsilon=Gepsilon)
selectUser_Algorithms = {}
selectUser_Algorithms['LinUCB_SelectUser'] = LinUCB_SelectUserAlgorithm(
dimension=dimension, alpha=alpha, lambda_=lambda_, n=n_users)
selectUser_Algorithms[
'AsyncCoLin_SelectUser'] = CoLinUCB_SelectUserAlgorithm(
dimension=dimension,
alpha=alpha,
lambda_=lambda_,
n=n_users,
W=simExperiment_SelectUser.getW())
selectUser_Algorithms['GOBLin_SelectUser'] = GOBLin_SelectUserAlgorithm(
dimension=dimension,
alpha=alpha,
lambda_=lambda_,
n=n_users,
W=simExperiment_SelectUser.getGW())
selectUser_Algorithms['LinUCB_RandomUser'] = N_LinUCBAlgorithm(
dimension=dimension, alpha=alpha, lambda_=lambda_, n=n_users)
#selectUser_Algorithms['AsyncCoLin_RandomUser'] = AsyCoLinUCBAlgorithm(dimension=dimension, alpha = alpha, lambda_ = lambda_, n = n_users, W = simExperiment_SelectUser.getW0())
#selectUser_Algorithms['GOBLin_RandomUser'] = GOBLinAlgorithm( dimension= dimension, alpha = G_alpha, lambda_ = G_lambda_, n = n_users, W = simExperiment_SelectUser.getGW() )
simExperiment_SelectUser.runAlgorithms(selectUser_Algorithms)
def __init__(self, dimension, alpha, lambda_, n, W, RankoneInverse = False): CoLinUCB_SelectUserAlgorithm.__init__(self, dimension = dimension, alpha = alpha, lambda_ = lambda_, n = n, W = W, RankoneInverse = RankoneInverse) self.USERS = GOBLinSharedStruct(dimension, lambda_, n, W, RankoneInverse) self.CanEstimateUserPreference = False self.CanEstimateCoUserPreference = True self.CanEstimateW = False
def __init__(self, dimension, alpha, lambda_, n, W):
CoLinUCB_SelectUserAlgorithm.__init__(self, dimension, alpha, lambda_, n, W)
self.USERS = GOBLinSharedStruct(dimension, lambda_, n, W)
