def remove_absolute_mask__r2(X, y, model_generator, method_name, num_fcounts=11):
    """ Remove Absolute (mask)
    xlabel = "Max fraction of features removed"
    ylabel = "1 - R^2"
    transform = "one_minus"
    sort_order = 9
    """
    return __run_measure(measures.remove_mask, X, y, model_generator, method_name, 0, num_fcounts, sklearn.metrics.r2_score)
def remove_absolute_mask__r2 ( X , y , model_generator , method_name , num_fcounts = 11 ) : return __run_measure ( measures . remove_mask , X , y , model_generator , method_name , 0 , num_fcounts , sklearn . metrics . r2_score )
Remove Absolute (mask)
    xlabel = "Max fraction of features removed"
    ylabel = "1 - R^2"
    transform = "one_minus"
    sort_order = 9