[WIP] ENH create callable class to get adequate scorer for a problem #17930
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jnothman
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Jan 18, 2021
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| estimator = GridSearchCV( | ||
| DecisionTreeClassifier(), param_grid={"max_depth": [3, 5]}, | ||
| scoring=average_precision_scorer, |
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I had thought it should be possible to also just pass scoring=scorers. Does this work in the present PR?
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I assume no (I did not remember I had this PR). scorers should be a dict if we want to have multimetric
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Or, after #15126, scorers can be a callable that returns a dict.
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closes #17889
Alternative to #17889