optimize.py 文件源码

def grid_report(results, n_top=3):
    r"""Report the top grid search scores.

    Parameters
    ----------
    results : dict of numpy arrays
        Mean test scores for each grid search iteration.
    n_top : int, optional
        The number of grid search results to report.

    Returns
    -------
    None : None

    """
    for i in range(1, n_top + 1):
        candidates = np.flatnonzero(results['rank_test_score'] == i)
        for candidate in candidates:
            logger.info("Model with rank: {0}".format(i))
            logger.info("Mean validation score: {0:.3f} (std: {1:.3f})".format(
                        results['mean_test_score'][candidate],
                        results['std_test_score'][candidate]))
            logger.info("Parameters: {0}".format(results['params'][candidate]))


#
# Function hyper_grid_search
#