Release 0.9.0#82
Merged
M-Mouhcine merged 47 commits intomainfrom Apr 8, 2026
Merged
Conversation
Classwise CP documentation and tutorial
Backend Abstraction, API refactor and CI/CD updates
Leverage-Weighted Conformal Prediction
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
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This PR expands the library with new conformal methods for regression and classification, introduces a backend abstraction layer for a wider range of input types, and continues the API refactor around shared split conformal workflows. It also adds new tutorials, expands test coverage, and raises the minimum supported Python version to 3.9.