def predict(self, X):
"""Decide for each feature in each sample if it is on or off. _MultiLabelDecisionMaker uses a multi-label
classifier to predict the multi-labels for all features. However, the classifier must first be trained by
calling fit.
"""
check_is_fitted(self, 'model_', 'n_features_')
X = check_feature_array(X, self.n_features_)
predictions = self.model_.predict(X)
return predictions
def predict(self, X):
check_is_fitted(self, 'model_', 'n_features_')
X = check_feature_array(X, self.n_features_)
predictions = self.model_.predict(X)
return predictions
