pdmlabs.mango.optimizer.bayesian_learning

Contents

pdmlabs.mango.optimizer.bayesian_learning#

Classes

BayesianLearning([surrogate, alpha, domain_size])

class pdmlabs.mango.optimizer.bayesian_learning.BayesianLearning(surrogate=None, alpha=None, domain_size=1000)#

Bases: BasePredictor

Get_Upper_Confidence_Bound(X)#: Returns the acqutition function

Upper_Confidence_Bound_Remove_Duplicates(X, X_Sample, batch_idx)#: Check if the returned index value is already present in X_Sample

Upper_Confidence_Bound_Remove_Duplicates_MetaTuner(X, X_Sample, batch_size, exploration_factor_tuner, Optimizer_iteration)#

closeness(x_optimal, X_Sample)#

fit(X, Y)#

get_next_batch(X, Y, X_tries, batch_size)#: Gives the batch of next suggestions to try for the algorithm

get_next_batch_MetaTuner(X, Y, X_tries, batch_size=3, exploration_factor=1.0, Optimizer_iteration=1.0, classifier_index=0, last_used_index=0)#

get_next_batch_clustering(X, Y, X_tries, batch_size)#

predict(X)#

remove_duplicates(X, X_Sample, mu, Value)#

remove_duplicates_MetaTuner(X, X_Sample, mu, Value, Value_ext)#

remove_duplicates_serial(X, X_Sample, Value)#