'Predict using the linear model
Parameters
X : {array-like, sparse matrix}, shape = (n_samples, n_features)
Samples.
Returns
C : array, shape = (n_samples,)
Returns predicted values.'

def predict(self, X):

    return self._decision_function(X)
