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[FEA] Import compatible meta-estimators (e.g. pipelines) from sklearn into namespace #3484

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JohnZed opened this issue Feb 11, 2021 · 1 comment · Fixed by #3493
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@JohnZed
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JohnZed commented Feb 11, 2021

Topic for discussion!

Many sklearn meta-estimator features, like Pipeline and GridSearch are fully compatible with cuML models. Many users do not know this. They try to import "cuml.pipeline.Pipeline", find nothing, and assume we do not support these features.

It does not seem wise to simply duplicate these already well-built classes. Alternatively, we could simply import from sklearn into our namespaces to match the existing namespace layout. To accompany this, we would need to add unit test coverage to ensure we never break compatibility.

@JohnZed JohnZed added feature request New feature or request ? - Needs Triage Need team to review and classify labels Feb 11, 2021
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This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

rapids-bot bot pushed a commit that referenced this issue Mar 16, 2021
Closes #3484

Imports sklearn's Pipeline and GridSearch meta-estimators into cuML namespace for ease-of-use.

Authors:
  - Victor Lafargue (@viclafargue)

Approvers:
  - William Hicks (@wphicks)
  - John Zedlewski (@JohnZed)

URL: #3493
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