Mapie

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* Inclusion in conda-forge with updated release checklist
* Add time series example
* Add epistemic uncertainty example
* Remove CicleCI redundancy with ReadTheDocs
* Remove Pep8speaks
* Include linting in CI/CD
* Use PyPa github actions for releases

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* 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

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* Add `cv="prefit"` option
* Add sample_weight argument in fit method

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* 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)).

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* Move all alpha related operations to predict
* Assume default LinearRegression if estimator is None
* Improve documentation
* `return_pred` argument is now `ensemble` boolean

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* 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)