Method base_estimator

numpy_ml/trees/losses.py:57–58

(self)

        return -np.sum(y * np.log(y_pred + eps))

    def base_estimator(self):
        return ClassProbEstimator()

    def grad(self, y, y_pred):
        eps = np.finfo(float).eps