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How to transform on new unseen test data? #161
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Hello. Can you provide a reproducible example? |
data.csv from prince import MCA data = pd.read_csv("data.csv", index_col=[0]) Error: |
Indeed, MCA does not yet work with rows/columns which have not been seen before. It's on my TODO, but I don't know when I'll tackle it. |
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.
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