classifier.py 文件源码

def predict(self,X,coef=None,intercept=None):
        """
        a) do the prediction based on given coefs and intercept, if provided.
        b) Scale the predictions so that they are in 0..1.

        """
        if coef is not None:
            assert intercept is not None
            self.intercept_ = intercept
            self.coef_ = coef

        return scale_predictions(linear_model.SGDRegressor.predict(self,X))