Mapie

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* Allow the use of `y` and `groups` arguments MapieRegressor and MapieClassifier.
* Add possibility of passing fit parameters used by estimators.
* Fix memory issue CQR when testing for upper and lower bounds.
* Add Winkler Interval Score.

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* * Resolve issue still present in 0.8.1 by updating pandas.

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* First attemps at fixing library conda issue.

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* Add Adaptative Conformal Inference (ACI) method for MapieTimeSeriesRegressor.
* Add Coverage Width-based Criterion (CWC) metric.
* Allow to use more split methods for MapieRegressor (ShuffleSplit, PredefinedSplit).
* Allow infinite prediction intervals to be produced in regressor classes.
* Integrate ConformityScore into MapieTimeSeriesRegressor.
* Add (extend) the optimal estimation strategy for the bounds of the prediction intervals for regression via ConformityScore.
* Add new checks for metrics calculations.
* Fix reference for residual normalised score in documentation.

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* 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.
* 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.
* Add statistical calibration tests in binary classification.
* Fix and preserve the split behavior of the check_cv method with and without random state.

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* Add grouped conditional coverage metrics named SSC for regression and classification
* Add HSIC metric for regression
* Migrate conformity scores classes into conformity_scores module
* Migrate regression classes into regression module
* Add split conformal option for regression and classification
* Update check method for calibration
* Fix bug in MapieClassifier with different number of labels in calibration dataset.