Fix: Update LogisticRegression solver and parameters for multiclass digits dataset #334
Open
FluffyBun12435 wants to merge 1 commit intocodebasics:masterfrom
Open
Fix: Update LogisticRegression solver and parameters for multiclass digits dataset #334FluffyBun12435 wants to merge 1 commit intocodebasics:masterfrom
FluffyBun12435 wants to merge 1 commit intocodebasics:masterfrom
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Hi codebasics Team,
I noticed that the current LogisticRegression implementation in this notebook throws a
ValueErrorwhen using recent versions of scikit-learn withdigitsdataset.The issue: The
liblinearsolver does not support multiclass classification directly (n_classes=10 for digits) in the latest sklearn.The fix: I've updated the solver to
lbfgsand removed the deprecatedmulti_class='auto'parameter to ensure compatibility with modern environments.Thanks for your tutorial!
