佛山伦教网站设计,自媒体营销代理,wordpress编辑器增强插件,哪个小说网站可以做封面要在函数内部实现将 saved_feature_combinations 转换为元组形式#xff0c;可以在检查 saved_feature_combinations 是否为空后#xff0c;直接将它们转换为元组。你可以在现有逻辑的基础上添加转换步骤。
def process_and_save_combinations(self, saved_feature_combinat…要在函数内部实现将 saved_feature_combinations 转换为元组形式可以在检查 saved_feature_combinations 是否为空后直接将它们转换为元组。你可以在现有逻辑的基础上添加转换步骤。
def process_and_save_combinations(self, saved_feature_combinations, saved_normalized_data, all_feature_combinations, feature_combinations_0, config, start_date, end_date):处理并保存特征组合。流程检查已保存的特征工程数据找到与新传入特征组合的差异是有差异删除多余的和不再用的特征组合否无差异保留不变的特征组合执行特征工程参数:- saved_feature_combinations: 已保存的特征组合- saved_normalized_data: 已保存的标准化数据- all_feature_combinations: 所有特征组合- feature_combinations_0: 初始特征组合返回:- unique_feature_combinations: 独特的特征组合- unique_normalized_data: 独特的标准化数据try:# 检查 saved_feature_combinations 是否存在并转换为元组形式if saved_feature_combinations:saved_feature_combinations [tuple(feature.split(,)) if isinstance(feature, str) else featurefor feature in saved_feature_combinations]# 如果存在已保存的特征工程数据但 normalized_data 为空处理组合if saved_feature_combinations and saved_normalized_data.empty:print(Saved data is present, processing combinations...)feature_combinations, normalized_data self.process_combinations(saved_feature_combinations, saved_normalized_data, all_feature_combinations)if isinstance(self.processor, NZDataProcessor):# 如果processor是NZDataProcessor, 则传递config, start_date, end_datenew_feature_combinations, new_normalized_data self.perform_engineering_with_params(feature_combinations_0, config, start_date, end_date)else:# 否则不传递这些参数new_feature_combinations, new_normalized_data self.perform_engineering_without_params(feature_combinations_0)log_info_message(f---读取成功执行完特征工程得到的值{feature_combinations})combined_feature_combinations feature_combinations new_feature_combinationscombined_normalized_data normalized_data new_normalized_dataunique_feature_combinations list(set(combined_feature_combinations))unique_normalized_data [combined_normalized_data[combined_feature_combinations.index(comb)]for comb in unique_feature_combinations]self.save_results(unique_feature_combinations, unique_normalized_data)else:if isinstance(self.processor, NZDataProcessor):# 调用带参数的特征工程方法feature_combinations, normalized_data self.perform_engineering_with_params(feature_combinations_0, config, start_date, end_date)else:# 调用不带参数的特征工程方法feature_combinations, normalized_data self.perform_engineering_without_params(feature_combinations_0)print(f---读取不成功执行完特征工程得到的值{feature_combinations})unique_feature_combinations feature_combinationsunique_normalized_data normalized_dataself.save_results(unique_feature_combinations, unique_normalized_data)except Exception as e:print(f处理和保存特征组合时出错: {e})import tracebacktraceback.print_exc() # 打印完整的错误堆栈信息return [], [] # 在异常情况下返回空列表return unique_feature_combinations, unique_normalized_data
