alteryx / alteryx/evalml

Ability to pass through feature(s) to prediction output without use in pipeline

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#2,258 0 comentarios 0 reacciones 1 asignado Reclamado por @asniyaz Ver en GitHub
needs design new feature
Lenguaje dominante
Python
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850
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96
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Sin PR fusionados en 30 d

Descripción

**Description**
Support the ability to designate one or more features as "pass through" features, meaning they will _not_ be used by any transformers or by the estimator, but will be provided as additional column(s) alongside predictions in the pipeline output.

**Use cases**
* ID column: we want an ID column to appear alongside predictions for convenience, but we don't want to make that the dataframe index. The ID column should not be provided to the estimator as a feature.
* Custom objective: as in our lead scoring demo, make "cost" column available to objective function, but don't provide that column to the estimator as a feature.

**Notes**
Perhaps this should be implemented using a woodwork `pass_through_feature` tag.

Tagging @rpeck since he brought this up.

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