h2o-py/h2o/model/regression.py
def h2o_median_absolute_error(y_actual, y_predicted):
    """
    Median absolute error regression loss

    :param y_actual: H2OFrame of actual response.
    :param y_predicted: H2OFrame of predicted response.
    :returns: median absolute error loss (best is 0.0)
    """
    ModelBase._check_targets(y_actual, y_predicted)
    return (y_predicted - y_actual).abs().median()
def h2o_median_absolute_error(y_actual, y_predicted):
    ModelBase._check_targets(y_actual, y_predicted)
    return (y_predicted - y_actual).abs().median()
def h2o_median_absolute_error ( y_actual , y_predicted ) : ModelBase . _check_targets ( y_actual , y_predicted ) return ( y_predicted - y_actual ) . abs ( ) . median ( )
Median absolute error regression loss

    :param y_actual: H2OFrame of actual response.
    :param y_predicted: H2OFrame of predicted response.
    :returns: median absolute error loss (best is 0.0)
Median absolute error regression loss