Mapie

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* Add tutorial for time series
* Convert existing tutorials in .py
* Add prefit method for CQR
* Add tutorial for CQR

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* Add `packaging` library in requirements
* Fix displaying problem in pypi

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* Relax and fix typing
* Add Split Conformal Quantile Regression
* Add EnbPI method for Time Series Regression
* Add EnbPI Documentation
* Add example with heteroscedastic data
* Add `ConformityScore` class that allows the user to define custom conformity scores

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* Refactorize unit tests
* Add "naive" and "top-k" methods in MapieClassifier
* Include J+aB method in regression tutorial
* Add MNIST example for classification
* Add cross-conformal for classification
* Add `notebooks` folder containing notebooks used for generating documentation tutorials
* Uniformize the use of matrix k_ and add an argument "ensemble" to method "predict" in regression.py
* Add replication of the Chen Xu's tutorial testing Jackknife+aB vs Jackknife+
* Add Jackknife+-after-Bootstrap documentation
* Improve scikit-learn pipelines compatibility

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* Add Jackknife+-after-Bootstrap method and add mean and median as aggregation functions
* Add "cumulative_score" method in MapieClassifier
* Allow image as input in MapieClassifier

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* Renaming estimators.py module to regression.py
* New classification.py module with MapieClassifier class, that estimates prediction sets from softmax score
* New set of unit tests for classification.py module
* Modification of the documentation architecture
* Split example gallery into separate regression and classification galleries
* Add first classification examples
* Add method classification_coverage_score in the module metrics.py
* Fixed code error for plotting of interval widths in tutorial of documentation
* Added missing import statements in tutorial of documentation
* Refactorize tests of `n_jobs` and `verbose` in `utils.py`