feature_model_grabber.py 文件源码

def generate_feature_group_combinations(self, feature_groups):
        combination_unflattened = sum([map(list,
                                      combinations(feature_groups, i)) for i in range(len(feature_groups) + 1)],
                                      [])

        combinations_flattened = []
        for combination in combination_unflattened:
            flattened_combination = {'feature_column_names':[],
                                            'feature_groups': []}
            for feature_group in combination:
                flattened_combination['feature_column_names'].extend(
                        feature_group['feature_column_names'])
                flattened_combination['feature_groups'].extend(
                        feature_group['feature_groups'])
            combinations_flattened.append(flattened_combination)
        return combinations_flattened[1:]