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请问各位大佬,用自己的数据集训练都需要改什么呢? #49
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你好,可以参照我们提供的dataloader中代码编写适合私有数据集的加载器。 |
兄弟,解决了吗,我现在也是这个问题 |
你好,我们代码中提供了datafactory和dataloader两个文件,你可以参考我们dataloader中的Dataset_Custom写法即可,或者直接复用可以,需要注意新增的数据集需要在datafactory文件中进行配置添加。 |
好的,谢谢你 |
还没有,可以留个联系方式一起探讨吗?q1375302647 |
你好可以将相关内容发送邮件给我,邮箱[email protected] |
你好,我看了你发送的数据后,理解你想要解决的问题应该是类似于协变量预测的问题,使用多列时序特征预测最后一列时序,目前TimeMixer还不支持该功能,建议可以使用TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables这个工作,专门用于协变量时序预测。 |
可是paper说支持multivariate,也有Short-term Forecasting: Multivariate data 的报告和复现脚本,其实是跟协变量(covariate)不一样的概念吗?(外行小白路过 🙏 ) |
我在run.py里把root path和data path都换成了自己的数据,执行的时候就会报出
“Traceback (most recent call last):
File "d:\code\TimeMixer-main\run.py", line 142, in
exp.train(setting)
File "d:\code\TimeMixer-main\exp\exp_long_term_forecasting.py", line 101, in train
vali_data, vali_loader = self._get_data(flag='val')
File "d:\code\TimeMixer-main\exp\exp_long_term_forecasting.py", line 30, in _get_data
data_set, data_loader = data_provider(self.args, flag)
File "d:\code\TimeMixer-main\data_provider\data_factory.py", line 88, in data_provider
print(flag, len(data_set))
ValueError: len() should return >= 0”
的错误。是不是输入的数据集不对?我需要怎么才能换成自己的数据呢?
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