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I read with great interest the documentation of pyCausalFS package. I was wondering if in addition to returning the Parents and Children of MB, these algorithms also return the Spouses.
Thus, I would like to submit the following enhancements that I believe can help to facilitate the interpretation of the Markov Blanket:
Be able to recognize from selected features which ones are either Parents, Children, or Spouses.
Have a functionality to build a Directed Acyclic Graph (as shown in this R package https://github.com/malcolmbarrett/ggdag)
In the Directed Acyclic Graph, the nodes corresponding to Parents have a specific color, which in turn it is different to the color assigned to either Children or Spouses. The remaining of features not belonging to Markov Blanket, their nodes are plotted without color.
Kind regards,
Ivan
The text was updated successfully, but these errors were encountered:
Hi
I'm glad you to enhance the package, and I also hope that you can join the project,as a collaborator.
I've invited you to be a collaborator.
Kind regards,
Wentao Hu
Hi,
Many thanks for making available this package!
I read with great interest the documentation of pyCausalFS package. I was wondering if in addition to returning the Parents and Children of MB, these algorithms also return the Spouses.
Thus, I would like to submit the following enhancements that I believe can help to facilitate the interpretation of the Markov Blanket:
In the Directed Acyclic Graph, the nodes corresponding to Parents have a specific color, which in turn it is different to the color assigned to either Children or Spouses. The remaining of features not belonging to Markov Blanket, their nodes are plotted without color.
Kind regards,
Ivan
The text was updated successfully, but these errors were encountered: