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[FEATURE] Pass additional parameters to fit underlying estimator in `EstimatorTransformer`

See original GitHub issue

In EstimatorTransformer the underlying estimator is being fitted without the ability to pass along additional arguments to

This limits use cases for EstimatorTransformer. For example, if the underlying estimator is an XGBClassifier we would like to be able to pass eval_set to monitor validation performance and enable early stopping. This is currently not possible. Adding *args, **kwargs should fix this issue.

Issue Analytics

  • State:closed
  • Created a year ago
  • Comments:14 (13 by maintainers)

github_iconTop GitHub Comments

koaningcommented, Sep 12, 2022


Yeah so if scikit-learn supports **kwargs then I won’t mind.

koaningcommented, Sep 13, 2022

Ah! Crud. My bad.

I was confused with the Grouped variant of the meta estimators. These come with a predictor variant.

Please ignore the previous comment.

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