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Remove AgeNullable Logical Type and have 1 Age Logical Type #1519

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gsheni opened this issue Sep 8, 2022 · 0 comments
Open

Remove AgeNullable Logical Type and have 1 Age Logical Type #1519

gsheni opened this issue Sep 8, 2022 · 0 comments

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@gsheni
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gsheni commented Sep 8, 2022 •
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We originally had AgeNullable and Age because EvalML relies on estimator/classifiers that do not support the pandas Int64 dtype (which is used in AgeNullable)
However, a better long term solution is for Woodwork to have 1 Age Logical Type that supports nullable values

For this issue:

  1. Remove/Deprecate AgeNullable
  2. Change the Age's physical type from int64 to Int64
  3. Verify that Featuretools and EvalML can properly handle this change
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