MetaKing
MetaKing
> I haven‘t pursued using the approach any further since I haven‘ received feedback from @yuezhihan. > > @ratheile Do you have some experience with using the approach in real...
> Hi @StatMixedML , I am currently exploring this method as a preprocessor for downstream tasks. My data shows strong periodic (daily / weekly / yearly) trends so I do...
> m report improvements over fully end-to-end trained networks, so I believe there is some benefit in using these models. Yet, I am not sure if all of them are...
听起来像是协变量预测的工作，可以参考[TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables](https://arxiv.org/abs/2402.19072)
默认多元预测中并不需要直接指定target的，他会按照你指定的输入和输出的channel数量进行运行。
> > 很高兴iTransformer作为深度模型应用于业务系统，方便的话能否提供若干场景细节，例如预测任务，特征属性等 > > 我们是基于gluonts做金融数据的时序分析和量化交易，比如我们有一些交易数据（'流通市值', '成交量', '振幅'等等），根据这些交易数据做价格的预测和分析，请问我们在使用iTransformer时需要注意些什么，如何调优相关参数，谢谢 你好 请问您是将itransformer应用在金融量化交易的场景嘛，您现在遇到的问题就是如何调优模型参数吗？
你好 请问你是使用cpu运行的脚本嘛，建议使用GPU进行运行，这可以有效的加速训练和测试。
> I would very much like the author to further provide a script file consistent with the paper. I tried to set the parameters myself and described in the paper,...
> Very good work. Due to the limited equipment, I ran LLAMA in a single Nvidia 3090, and the batch size was set to 4. I only ran 4000 of...
具体是哪里报错呢，可以有有详细的运行日志嘛