results_analysis.py 文件源码

def gen_feature_imp_matrix(model_id_list, features_df):

    feature_imp_matrix = pd.DataFrame
    for model_id in model_id_list[:1]:
        feature_imp_matrix = features_df[features_df.model_id == model_id].sort_values("feature", inplace=False).importance.values
    for model_id in model_id_list[1:]:
        b = features_df[features_df.model_id == model_id].sort_values("feature", inplace=False).importance.values
        feature_imp_matrix = np.vstack((feature_imp_matrix, b))
    feature_imp_matrix_normd = scale(np.transpose(feature_imp_matrix),axis=0,with_mean=True, with_std=True, copy=True)

    return feature_imp_matrix_normd