rfclass.py 文件源码

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



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