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Missing value codes, per dataset or per feature #33

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raamana opened this issue Aug 11, 2019 · 1 comment

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raamana commented Aug 11, 2019

User-defined missing value codes would be useful in certain domains, instead of lumping them all into np.NaN

It could be per feature (as different features may have different ranges) or per dataset, or per attribute (covariate do tend to be missing often!)

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raamana commented Aug 11, 2019

Suggested this in numpy for discussion as well: numpy/numpy#14254

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