alteryx / alteryx/evalml

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

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#2,258 0 comentários 0 reações 1 responsável Reivindicada por @asniyaz Ver no GitHub
needs design new feature
Linguagem predominante
Python
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850
Forks
96
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Descrição

**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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