def calc_meta_features_encoded(X_train, Y_train, categorical, dataset_name):
"""
Calculate meta features with encoded labels
:param X_train:
:param Y_train:
:param categorical:
:param dataset_name:
:return:
"""
if np.sum(categorical) != 0:
raise ValueError("Training matrix doesn't look OneHotEncoded!")
return calculate_all_metafeatures_encoded_labels(
X_train, Y_train, categorical, dataset_name + SENTINEL,
dont_calculate=EXCLUDE_META_FUTURES)
