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Hello Tomoki Ohtsuki,
I was following your ml-100k-extended exemplary notebook, but had problems running the myfm.MyFMOrderedProbit() model with use_date=False. The fitting works fine, but the problem arises during prediction. I tried to attach a screenshot of the error I get. I hope it worked. If not, the error I am getting is "ValueError: Relation blocks have inconsistent mapper size with case_size". In your notebook, if the use_date=False is set, then X is set to None and X_rel=test_blocks. The error message is based on this set None value. However, in the myfm.MyFMRegressor() model everything works as expected.
Thanks in advance for your help!
The text was updated successfully, but these errors were encountered:
Hi @RafaelSterzinger, thank you for reporting the issue and sorry for the late reply.
I could reproduce it and identified the problem!
I believe the latest commit 661037c
has fixed the issue, and I will soon make a release for the fix.
Hello Tomoki Ohtsuki,
I was following your ml-100k-extended exemplary notebook, but had problems running the myfm.MyFMOrderedProbit() model with use_date=False. The fitting works fine, but the problem arises during prediction. I tried to attach a screenshot of the error I get. I hope it worked. If not, the error I am getting is "ValueError: Relation blocks have inconsistent mapper size with case_size". In your notebook, if the use_date=False is set, then X is set to None and X_rel=test_blocks. The error message is based on this set None value. However, in the myfm.MyFMRegressor() model everything works as expected.
Thanks in advance for your help!
The text was updated successfully, but these errors were encountered: