Sam

Changes
- Added logo to README and documentation
- Added Lasso example to documentation

Changes
- Add `pytest --doctest-modules ./sam*` to `unittest.yml` in github actions workflows to test all docstring examples.

Changes
- Fixed all docstring examples (using `pytest --doctest-modules ./sam*`).
- Some bugfixes for SHAP and feature importance
- Updated index page of the documentation

New features

- New class `sam.models.LassoTimeseriesRegressor` to create a Lasso regression model for time series data incl. quantile predictions.
- New class `sam.preprocessing.ClipTransformer` to clip input values to the range from the train set, making models more robust again
- New abstract base class `sam.validation.BaseValidator` for all validators.
- Renamed `sam.validation.RemoveFlatlines` to `sam.validation.FlatlineValidator`. `sam.validation.RemoveFlatlines` is still available, but removed in future versions.
- Renamed `sam.validation.RemoveExtremeValues` to `sam.validation.MADValidator`. `sam.validation.RemoveExtremeValues` is still available, but removed in future versions.
- New class `sam.validation.OutsideRangeValidator` for checking / removing data outside of a range.
- New function `datetime_train_test_split` to split pandas dataframes and series based on a datetime.
- New `sam.datasets` module containing functions for loading read-to-use datasets: `sam.datasets.load_rainbow_beach` and `sam.datasets.load_sewage_data`.
st outliers.

Changes
- Added `average_type` to `BaseTimeseriesRegressor.__init__()`.
- `MLPTimeseriesRegressor.__init__()` now passes `average_type` to `BaseTimeseriesRegressor.__init__()`.
- Update `BaseTimeseriesRegressor.score()` to account for the `self.average_type`: in case of "mean" take the MSE of the average predictions and in case of "median" take the MAE of the average predictions.
- Fixed various spelling errors in `CHANGELOG.MD` and `models`.
- Updated package dependencies for scikit-learn
- Changed the DeepExplainer to the model agnostic KernelExplainer, so we can remove all the v1 dependencies on tensorflow
- Fixed pytest MPL bug by temporarily setting it to a previous version

New features
- Data collection function `sam.data_sources.read_regenradar` does now accept `batch_size` and collects data in batches to avoid timeouts.