【代码报错】滚动训练报错 TypeError: cache encode key: not supported type:

由bqgt6c9n创建，最终由small_q更新于2025-02-15 10:10 被浏览 15 用户

滚动训练报错 TypeError: cache encode key: not supported type:

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麻烦查看一下谢谢
我给你写了个模板你用一下看看呢
https://bigquant.com/codesharev2/d965059f-5d4d-4745-831e-45b2e7c454da
你好我看了下你给的模版并没有很理解原因是什么是因为我模块数据没有时间(date)这一列，所以报错吗？
我在滚动训练模块中调整为后还是显示一样的报错
def m11_map_func_bigquant_run(period):
import pandas as pd
return {
"m3.start_date": "2019-01-01", "m3.end_date": "2020-01-01", "m4.start_date": "2020-01-01", "m4.end_date": "2021-01-01", '__outputs__': ['m6'],
# 2020年训练模型, 2021进行预测, 输出预测值m6模块
"m3.start_date": "2020-01-01", "m3.end_date": "2021-01-01", "m4.start_date": "2021-01-01", "m4.end_date": "2022-01-01", '__outputs__': ['m6'],
"m3.start_date": "2021-01-01", "m3.end_date": "2022-01-01", "m4.start_date": "2022-01-01", "m4.end_date": "2023-01-01", '__outputs__': ['m6'],
"m3.start_date": "2022-01-01", "m3.end_date": "2023-01-01", "m4.start_date": "2023-01-01", "m4.end_date": "2024-01-01", '__outputs__': ['m6'],
# m5: 训练模块, 关闭绘制图表
"m5.plot_charts": False,
# m8: 回测模块, 不运行回测, 合并数据后再运行
"m8.m_active": False,
# m9: 仓位分配，收集 m9 运行结果
"__outputs__": ["m9"],
}
我用的是另外一个版本的滚动训练