categorical_recurrent_regressor.py 文件源码

def log_likelihood_sym(self, x_var, y_var):
        normalized_xs_var = (x_var - self._x_mean_var) / self._x_std_var
        prob = L.get_output(self._l_prob, {self._prob_network.input_layer: normalized_xs_var})
        return self._dist.log_likelihood_sym(TT.cast(y_var, 'int32'), dict(prob=prob))