Add support scikit-learn 1.9.0#54
Open
Gnpd wants to merge 4 commits into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
.github/workflows/sklearn-compat.yml: added sklearn-version: '1.9.0' to the matrix.openmodels/serializers/sklearn/sklearn_serializer.py: sklearn 1.9 added a new fit-time private attribute _effective_probability on SVM estimators, whichpredict()now depends on internally. Added it toATTRIBUTE_EXCEPTIONSforSVR,NuSVR,SVC, andNuSVCso it round-trips through serialize/deserialize, without this,predict()on a deserialized SVR/NuSVR raised AttributeError.test/test_classification.pyandtest/test_regression.py: sklearn 1.9 fully removed the deprecatedbase_estimatorconstructor argument on ClassifierChain/RegressorChain in favor ofestimator(already the pattern used elsewhere intest_others.py).