MAPIE

• Set alpha parameter as predict argument, with None as default value
• Switch to github actions for continuous integration of the code
• Add image explaining MAPIE internals on the README

• Add cv="prefit" option
• Add sample_weight argument in fit method

• Add n_jobs argument using joblib parallel processing
• Allow cv to take the value -1 equivalently to LeaveOneOut()
• Introduce the cv parameter to get closer to scikit-learn API
• Remove the n_splits, shuffle and random_state parameters
• Simplify the method parameter
• Fix typos in documentation and add methods descriptions in sphinx
• Accept alpha parameter as a list or np.ndarray
• If alpha is an Iterable, .predict() returns a np.ndarray of shape (n_samples, 3, len(alpha))

• Move all alpha related operations to predict
• Assume default LinearRegression if estimator is None
• Improve documentation
• return_pred string argument is now a bool ensemble

First official and clean release on pypi:

• Update PyPi homepage
• Set up publication workflows as a github action
• Update issue and pull request templates
• Increase sklearn compatibility (coverage_score and unit tests)
• Create mapie.estimators and mapie.metrics