6ffa18e3905ac8dac016111063db4bbacbc788c7,keras/objectives.py,,mean_squared_logarithmic_error,#Any#Any#,29

Before Change

def mean_squared_logarithmic_error(y_true, y_pred):
    return T.sqr(T.log(T.clip(y_pred, epsilon, np.inf) + 1.) - T.log(T.clip(y_true, epsilon, np.inf) + 1.)).mean(axis=-1)


def squared_hinge(y_true, y_pred):

After Change

def mean_squared_logarithmic_error(y_true, y_pred):
    first_log = K.log(K.clip(y_pred, K._EPSILON, np.inf) + 1.)
    second_log = K.log(K.clip(y_true, K._EPSILON, np.inf) + 1.)
    return K.mean(K.square(first_log - second_log), axis=-1)


def squared_hinge(y_true, y_pred):
    return K.mean(K.square(K.maximum(1. - y_true * y_pred, 0.)), axis=-1)

Instances