This minor release primarily just improves the user experience when encountering various edge-cases in:

• find_label_issues method
• find_overlapping_issues method
• cleanlab.multiannotator module

This release is non-breaking when upgrading from v2.3.0. Two noteworthy updates in the cleanlab.multiannotator module include a:

1. better tie-breaking algorithm inside of get_majority_vote_label() to avoid diminishing the frequency of rarer classes (this only plays a role when pred_probs are not provided).
2. better user-experience for get_active_learning_scores() to support scoring only unlabeled data or only labeled data. More of the arguments can now be None.

What's Changed

• Readme updates by @jwmueller in #645, #650, #656
• describe activelab in the documentation by @jwmueller in #648
• Added clipping to address issue #639 by @ulya-tkch in #647
• Fix for not specifying labels in find_overlapping_issues by @huiwengoh in #652
• Bug fixes + improvements to multiannotator module by @huiwengoh in #654
• FAQ question/answer on handling label errors in train vs test data by @jwmueller in #655

Full Changelog: v2.3.0...v2.3.1