def RAkELO(dataset_train_x, dataset_train_y, dataset_test_x, dataset_test_y,
base_clasif, num_labels, num_models):
classifier = RakelO(base_classifier=base_clasif,
labelset_size=num_labels,
model_count=num_models)
classifier.fit(dataset_train_x, dataset_train_y)
predictions = classifier.predict(dataset_test_x)
Metrics_Accuracy("RAkELO", predictions, dataset_test_y)
def RAkELO(dataset_train_x, dataset_train_y, dataset_test_x, dataset_test_y,
base_clasif, num_labels, num_models):
classifier = RakelO(base_classifier=base_clasif,
labelset_size=num_labels,
model_count=num_models)
start_time = time.time()
classifier.fit(dataset_train_x, dataset_train_y)
stop_time = time.time()
time_lapsed = stop_time - start_time
predictions = classifier.predict(dataset_test_x)
Metrics_Accuracy("RAkELO", predictions, dataset_test_y)
print("Execution time: {}s".format(time_lapsed))