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I had read the paper. It is very interesting idea and a step forward from TabPFN.
Now I am looking at the MotherNet API and would like to try it on my internal data. However, it is quite frustrated since I cannot found any pretrained model. Am I missing something? or can you open-source a pretrained model? Thank you so much.
The text was updated successfully, but these errors were encountered:
Note that this is still a WIP and see the paper for some of the failure cases. In particular results with categorical variables depend a lot on whether OneHotEncoding is used and useful for a particular dataset.
Note that MotherNetClassifier doesn't do any ensembling and you'd need to use EnsembleMeta to get the ensemble as in the paper.
I had read the paper. It is very interesting idea and a step forward from TabPFN.
Now I am looking at the MotherNet API and would like to try it on my internal data. However, it is quite frustrated since I cannot found any pretrained model. Am I missing something? or can you open-source a pretrained model? Thank you so much.
The text was updated successfully, but these errors were encountered: