def main(lambda_f=1, algs=None, num_alpha=None, data=None):
lambda_ = 0.1 # Initialize A
alg_name = algs #if alg_name is None else alg_name
simExperiment = simulateOnlineData()
algorithms = {}
if alg_name == 'EC_Bandit':
algorithms[alg_name] = EC_Bandit(feature_dim=raw_feature_dim,
E_FEATURE_DIM=E_FEATURE_DIM,
C_FEATURE_DIM=C_FEATURE_DIM)
if alg_name == 'hLinUCB':
n_users = 505
n_articles = 3000
algorithms[alg_name] = HLinUCBAlgorithm(
context_dimension=raw_feature_dim,
latent_dimension=5,
alpha=0.2,
alpha2=0.2,
lambda_=lambda_,
n=n_users,
itemNum=n_articles,
init='random',
window_size=-1)
if alg_name == 'Logistic':
algorithms[alg_name] = Logistic(feature_dim=raw_feature_dim,
E_FEATURE_DIM=E_FEATURE_DIM,
C_FEATURE_DIM=C_FEATURE_DIM)
if alg_name == 'Random':
algorithms[alg_name] = Random(dimension=raw_feature_dim,
alpha=num_alpha,
lambda_=lambda_)
if alg_name == 'PBMUCB':
algorithms[alg_name] = initialPBMUCB()
print(algorithms)
return simExperiment.runAlgorithms(algorithms, data=data)
if algName == 'LinUCB':
algorithms['LinUCB'] = N_LinUCBAlgorithm(dimension=context_dimension,
alpha=alpha,
lambda_=lambda_)
algorithms['CoLin'] = AsyCoLinUCBAlgorithm(dimension=context_dimension,
alpha=alpha,
lambda_=lambda_,
n=n_users,
W=simExperiment.getW())
if algName == 'hLinUCB':
algorithms['hLinUCB'] = HLinUCBAlgorithm(
context_dimension=context_dimension,
latent_dimension=latent_dimension,
alpha=0.1,
alpha2=0.1,
lambda_=lambda_,
n=n_users,
itemNum=n_articles,
init='zero',
window_size=-1)
algorithms['LinUCB'] = N_LinUCBAlgorithm(dimension=context_dimension,
alpha=alpha,
lambda_=lambda_,
n=n_users)
if algName == 'PTS':
algorithms['PTS'] = PTSAlgorithm(particle_num=10,
dimension=10,
n=n_users,
itemNum=n_articles,
sigma=np.sqrt(.5),
sigmaU=1,