TypeError: setup_module()得到了一个意外的关键字参数'data‘

Question

请帮助我处理这个错误，因为我一直在尝试，但是它会返回一个TypeError。

bank = setup_module(data = data, target = 'Creditability', 
                  normalize = True, stage=None,
                  transformation = True,
               train_size = 0.8, # training over 80% of available data
                  handle_unknown_categorical = True, 
                  unknown_categorical_method = 'most_frequent',
                  remove_multicollinearity = True, #rop one of the two features that are highly correlated with each other
                  ignore_low_variance = True,#all categorical features with statistically insignificant variances are removed from the dataset.
                  combine_rare_levels = True,# all levels in categorical features below the threshold defined in rare_level_threshold param are combined together as a single level
                  numeric_imputation='median',
                  categorical_imputation='mode',
            ordinal_features = {'Account_Balance':['No Account','None','Below 200 DM','200 DM or Above'],
                               'Value_Savings_Stocks':['None','Below 100 DM','[100, 500)','[500, 1000)','Above 1000'],
                               'Length_of_current_employment':['Unemployed','<1 Year','[1, 4)','[4, 7)','Above 7'],
                               'Instalment_per_cent':['Below 20%','[20%, 25%)','(25%, 35%)','Above 35%'],
                               'Occupation':['Unemployed, unskilled','Unskilled Permanent Resident','Skilled','Executive'],
                                'No_of_Credits_at_this_Bank':['1','2 or 3','4 or 5','Above 6'],
                                'No_of_dependents':['Less than 3','3 or More']
                               },
            fix_imbalance = True,
            numeric_features=num_col,
             session_id=1,)

Answer 1

最好的方法是查看函数"setup_module“，找出数据的关键字参数是什么。例如，它可能是"dataset=“。

您可以通过持有ctrl并单击函数名直接转到它的源代码来找到这一点。

不建议这样做，但如果您确信数据是函数所需的第一个参数，也可以删除"data=“。