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Handle missing values in OrdinalEncoder

See original GitHub issue

A minimal implementation would pass through NaNs from the input to the output of transform and make sure the presence of NaN does not affect the categories identified in fit.

A missing_values parameter might allow the user to configure what object is a placeholder for missingness (e.g. NaN, None, etc.).

See #10465 for background

Issue Analytics

State:
Created 5 years ago
Reactions:1
Comments:10 (7 by maintainers)

Top GitHub Comments

4reactions

CatChenalcommented, Sep 29, 2018

I wish the help wanted tag would disappear once a contributor adopts an issue…

3reactions

maxcopelandcommented, Sep 8, 2018

I’m currently working on this issue-- but I think the best way to start is to review the contributing guidlines. And when you see an issue no one is working on, ask the member who submitted the issue if you can get started. (I’m fairly new to this project myself).

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