Method __call__

numpy_ml/trees/losses.py:53–55

(self, y, y_pred)

class CrossEntropyLoss:
    def __call__(self, y, y_pred):
        eps = np.finfo(float).eps
        return -np.sum(y * np.log(y_pred + eps))

    def base_estimator(self):
        return ClassProbEstimator()