def predict(self, X):
raw_predictions = self.decision_function(X)<EOL>class_predictions = self.binarizer.inverse_transform(raw_predictions)<EOL>return class_predictions<EOL>
Predict values using the model

Parameters
----------
X : {array-like, sparse matrix} of shape [n_samples, n_features]

Returns
-------
C : numpy array of shape [n_samples, n_outputs]
    Predicted values.