#NEWLINE# def predict( self , X ) : #NEWLINE# #INDENT# '\n        Predict values using the model\n\n        Parameters\n        ----------\n        X : {array-like, sparse matrix} of shape [n_samples, n_features]\n\n        Returns\n        -------\n        C : numpy array of shape [n_samples, n_outputs]\n            Predicted values.\n        ' #NEWLINE# raw_predictions = self . decision_function ( X ) #NEWLINE# class_predictions = self . binarizer . inverse_transform ( raw_predictions ) #NEWLINE# return class_predictions