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I am able to fit the MCA model to training data. I would like to use the model then to find the row coordinates of new unseen data. The transform function is not working for unseen data as I get a keyerror. Is it possible to "transform" new data using model fitted to training data, like the sklearn transformation functions?
Please help me to understand.
The text was updated successfully, but these errors were encountered:
Error:
KeyError: "['category_Application Access', 'userid_a@b.com', 'userid_b@b.com', 'location_San Jose, CA, United States', 'applicationname_B', 'applicationname_C', 'browser_Other'] not in index"
I am able to fit the MCA model to training data. I would like to use the model then to find the row coordinates of new unseen data. The transform function is not working for unseen data as I get a keyerror. Is it possible to "transform" new data using model fitted to training data, like the sklearn transformation functions?
Please help me to understand.
The text was updated successfully, but these errors were encountered: