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Missing value codes, per dataset or per feature

Open raamana opened this issue 6 years ago • 1 comments

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!)

raamana avatar Aug 11 '19 16:08 raamana

Suggested this in numpy for discussion as well: https://github.com/numpy/numpy/issues/14254

raamana avatar Aug 11 '19 16:08 raamana