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我有一个输入数据框，我根据属性将其拆分为 3 个实体。当我尝试使用功能工具生成功能时，出现上述错误

input dataframe in_df = ['UniqueID', 'disbursed_amount', 'asset_cost', 'ltv', 'branch_id', 'supplier_id', 'manufacturer_id', 'Current_pincode_ID', 'Date.of.Birth', 'Employment.Type', 'DisbursalDate', 'State_ID', 'Employee_code_ID', 'MobileNo_Avl_Flag', 'Aadhar_flag', 'PAN_flag', 'VoterID_flag', 'Driving_flag', 'Passport_flag', 'PERFORM_CNS.SCORE',       'PERFORM_CNS.SCORE.DESCRIPTION', 'PRI.NO.OF.ACCTS', 'PRI.ACTIVE.ACCTS',       'PRI.OVERDUE.ACCTS', 'PRI.CURRENT.BALANCE', 'PRI.SANCTIONED.AMOUNT',       'PRI.DISBURSED.AMOUNT', 'SEC.NO.OF.ACCTS', 'SEC.ACTIVE.ACCTS',       'SEC.OVERDUE.ACCTS', 'SEC.CURRENT.BALANCE', 'SEC.SANCTIONED.AMOUNT',       'SEC.DISBURSED.AMOUNT', 'PRIMARY.INSTAL.AMT', 'SEC.INSTAL.AMT',       'NEW.ACCTS.IN.LAST.SIX.MONTHS', 'DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS',       'AVERAGE.ACCT.AGE', 'CREDIT.HISTORY.LENGTH', 'NO.OF_INQUIRIES',       'loan_default']

我根据数据集上的可用信息将其分为 3 个实体：

cust_cols = ['UniqueID','Current_pincode_ID', 'Employment.Type', 'State_ID', 'MobileNo_Avl_Flag', 'branch_id',
             'Aadhar_flag', 'PAN_flag', 'VoterID_flag', 'Driving_flag', 'Passport_flag', 'asset_cost', 'Date.of.Birth']
customers_df = df_raw_train[cust_cols]

loan_info_cols = ['UniqueID', 'disbursed_amount', 'asset_cost', 'ltv', 'branch_id', 'supplier_id', 'manufacturer_id', 
                  'Employee_code_ID', 'loan_default', 'DisbursalDate']
loan_info_df = df_raw_train[loan_info_cols]

bureau_cols = ['UniqueID','PERFORM_CNS.SCORE', 'PERFORM_CNS.SCORE.DESCRIPTION', 'PRI.NO.OF.ACCTS', 'PRI.ACTIVE.ACCTS', 
               'PRI.OVERDUE.ACCTS', 'PRI.CURRENT.BALANCE', 'PRI.SANCTIONED.AMOUNT', 'PRI.DISBURSED.AMOUNT', 
               'SEC.NO.OF.ACCTS', 'SEC.ACTIVE.ACCTS', 'SEC.OVERDUE.ACCTS', 'SEC.CURRENT.BALANCE', 'SEC.SANCTIONED.AMOUNT',
               'SEC.DISBURSED.AMOUNT', 'PRIMARY.INSTAL.AMT', 'SEC.INSTAL.AMT', 'NEW.ACCTS.IN.LAST.SIX.MONTHS', 
               'DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS', 'NO.OF_INQUIRIES']
bureau_df = df_raw_train[bureau_cols]

customers_df.set_index(['UniqueID', 'branch_id'],inplace = True, append = True)
loan_info_df.set_index(['UniqueID', 'branch_id'], inplace = True, append = True)

entities = {"customers" : (customers_df, "UniqueID", "branch_id"), "loans" : (loan_info_df, "UniqueID", "branch_id"),
            "bureau" : (bureau_df, "UniqueID")
           }
relationships = [("loans", "UniqueID", "bureau", "UniqueID"),
                 ("customers", "branch_id", "loans", "branch_id")]

feature_matrix_customers, features_defs = ft.dfs(entities=entities, relationships=relationships, target_entity="customers")

我收到错误“LookupError：在数据框中找不到时间索引

有人可以帮助解释为什么会出现错误，因为 featuretools 文档没有提到任何需要指定时间索引？

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1 回答 1

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通过从数据框创建实体集解决了这个问题。

于 2019-04-13T17:20:15.817 回答