【代码报错】DNN深度学习报错NameError: name 'factor_df_stack' is not defined

由bqkzh1gu创建，最终由small_q更新于2025-02-27 06:49 被浏览 17 用户

老师讲的这个DNN深度学习策略（https://bigquant.com/college/courses/course-v1:plus+CS1119DNN+2024-11/courseware/7dea67c96c3b4405aa59cca499e1a5f8/eea5330d53a04b4db1b58787222505b9），

运行到这里报错，请问老师如何修改

\

st = factor_df_stack.date.min().strftime('%Y-%m-%d')
et =  factor_df_stack.date.max().strftime('%Y-%m-%d')
print('--------', st, et)

sql = """ 
    select date, instrument, close  from cn_stock_factors
    WHERE st_status = 0 and date >= '{0}' and date <= '{1}'

    QUALIFY
    st_status = 0
    AND list_days > 270
    AND suspended = 0
    AND list_sector < 4
    AND COLUMNS(*) IS NOT NULL
    ORDER BY date, instrument
        """.format(st, et)  

import dai 
info_df = dai.query(sql).df() 
merge_df = pd.merge(info_df, factor_df_stack,  how='inner', on=['date', 'instrument'])
merge_df = merge_df.sort_values(['date','pred_label'], ascending=[True, False])
merge_df_ds = dai.DataSource.write_bdb(merge_df) 

\