testing_iterations = 500
NoiseScale = 0.1 # standard deviation of Gaussian noise
n_articles = 25
n_users = 10
poolArticleSize = None
if actionset == "basis_vector":
n_articles = context_dimension # there can be at most context_dimension number of basis vectors
## Set Up Simulation ##
UM = UserManager(context_dimension,
n_users,
thetaFunc=gaussianFeature,
argv={'l2_limit': 1})
users = UM.simulateThetafromUsers()
AM = ArticleManager(context_dimension,
n_articles=n_articles,
argv={'l2_limit': 1})
articles = AM.simulateArticlePool(actionset)
simExperiment = simulateOnlineData(
context_dimension=context_dimension,
testing_iterations=testing_iterations,
plot=True,
articles=articles,
users=users,
noise=lambda: np.random.normal(scale=NoiseScale),
signature=AM.signature,
NoiseScale=NoiseScale,
poolArticleSize=poolArticleSize)
config["dLinUCB_alpha"] = 0.6
#CoDBand
config["memory_size"] = 70
# Generate user and item vectors
userFilename = os.path.join(
sim_files_folder, "users_" + str(config["n_users"]) + "context_" +
str(config["context_dimension"]) + "Ugroups" +
str(config["UserGroups"]) + ".json")
UM = UserManager(config["context_dimension"],
config["n_users"],
config["gamma"],
UserGroups=config["UserGroups"],
thetaFunc=gaussianFeature,
argv={'l2_limit': 1})
users, global_parameter_set, parameter_index_for_users = UM.simulateThetafromUsers(
)
articlesFilename = os.path.join(
sim_files_folder, "articles_" + str(config["n_articles"]) +
"context_" + str(config["context_dimension"]) + "Agroups" +
str(config["ArticleGroups"]) + ".json")
AM = ArticleManager(config["context_dimension"],
n_articles=config["n_articles"],
ArticleGroups=config["ArticleGroups"],
FeatureFunc=gaussianFeature,
argv={'l2_limit': 1})
articles = AM.simulateArticlePool()
for i in range(len(articles)):
articles[i].contextFeatureVector = articles[
i].featureVector[:config["context_dimension"]]