Version 0.7.0

• Add prediction set estimation for binary classification.
• Add Learn-Then-Test method for multilabel-classification.
• Add documentation and notebooks for LTT.
• Add a new conformity score, ResidualNormalisedScore, that takes X into account and allows to compute adaptive intervals.
• Refactor MapieRegressor and ConformityScore to add the possibility to use X in ConformityScore.
• Separate the handling of the estimator from MapieRegressor into a new class called EnsembleEstimator.
• Add statistical calibration tests in binary classification.
• Rename methods (score to lac and cumulated_score to aps) in MapieClassifier.
• Add more notebooks and examples.
• Fix an unfixed random state in one of the classification tests.
• Fix and preserve the split behavior of the check_cv method with and without random state.