cdedee771633ab5e4514942dde7f540a53ca3908,AutoSklearn/components/classification/sgd.py,SGD,predict_proba,#SGD#Any#,64

Before Change

                return np.transpose(np.array((1 - ppositive, ppositive)))
            else:
                tmp = np.exp(-df)
                return tmp / np.sum(tmp, axis=1).reshape((-1, 1))

    @staticmethod
    def get_properties():
        return {"shortname": "SGD Classifier",

After Change

            return self.estimator.predict_proba(X)
        else:
            df = self.estimator.decision_function(X)
            return softmax(df)

    @staticmethod
    def get_properties():
        return {"shortname": "SGD Classifier",

Instances