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one_hot_encoder in Test #35
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Hi, That's a good one. A quick fix: I would recommand using After, I don't know what is the best approach, do you have an example of another package that allows you to have the same columns in train and test. |
currently I am using this I thought you might have some better way. |
I guess a future modification would be to perrform With first a Feature should be developped in next version. |
Yes, |
Good idea. I added it. It is implemented in branch v0.3.5 will be merged soon. |
how do we use one_hot_encoder in test data ?
lets say some new value got added in some column
it will add extra column in test-dataset, which is not a problem,
but let's say some values are missing in the test-data
and it will drop that column in one_hot_encoder
and that might create a problem while scoring
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