Yujia Zheng

> @renero Hi, could you please recommend some Python/R implementations for FCI and RFCI? Thanks a lot. Hi, just to share a python implementation for FCI: https://github.com/cmu-phil/causal-learn. We've optimized it...

> > > I think the author just used test data to determine whether the training was over in each epoch. If you don't want to do this, you can...

> > > I think it's better to call this a validation set than testing data. Then where is the evaluation script if that's just the validation set? Based on...

> > > Hi, thanks for your work. I cannot find the validation data in your code and released data either. And what's the meaning of "the performance reported in...

> > > Hi, > Thanks for your interest. We split the training and testing datasets chronologically. That is, the latest 20% of a user's history belong to the testing...

Yeah, I totally agree with you. This issue has been listed in our issue tracking doc and we are currently working on it. Let me share the doc with you...

Thanks for your feedback. Cause2e is a fantastic package! :) In the future, we will include 'background_knowledge' for other methods. We will update you when these functions are available. Thanks...

Hi @dg46, just a quick update :) We've re-implemented FCI. Now it includes the background_knowledge. Also, the speed of FCI has been improved a lot.

Thanks Joe for raising this and thanks Wei for the answer! In the near future, we would like to also include pandas.dataframe as the input, which naturally supports different data...

Thanks so much, Joe! We will first work on the pandas.dataframe refactoring to represent mixed data better. We are very grateful for your willingness to help. In case you have...