def mean_absolute_percentage_error(y_true, y_pred):
 diff = tf.abs(((y_true - y_pred) / tf.clip_by_value(tf.abs(y_true), 1e-08, np.inf)))
 return (100.0 * tf.reduce_mean(diff))

def mean_absolute_percentage_error ( y_true , y_pred ) : diff = tf . abs ( ( ( y_true - y_pred ) / tf . clip_by_value ( tf . abs ( y_true ) , 1e-08 , np . inf ) ) ) return ( 100.0 * tf . reduce_mean ( diff ) )
mean absolute percentage error loss .