Stree

- Change python minor version to 3.11
- Change build tool to hatch
- Update build source from setup.py to pyproject.toml
- Update github action versions
- Remove black from github actions linting as it wouldn't read from pyproject.toml
- Add call method to Stree to support sklearn ensembles requirements for base estimators
- Update tests
- Update readthedocs configuration

- [Reformat test with new black version](https://github.com/Doctorado-ML/STree/commit/5f8ca8f3bbb0e6677525dc057c3445b6586ed56c)
- [Add separate methods to return nodes/leaves/depth](https://github.com/Doctorado-ML/STree/commit/036d1ba2a721e5299325841049580646a660a024)
- [Black format issue](https://github.com/Doctorado-ML/STree/commit/4de74973b886b92d3ae57d8bdd62ab1155776f5d)
- [Update benchmark.ipynb](https://github.com/Doctorado-ML/STree/commit/28dd04b95a9514998e1741b4f703691428f4e529)

Working nicely with scikit-learn v 1.4.2 and python 3.11.5

Fix random seed not used in fs_mutual (mutual_info_classif from sklearn.feature_selection) that produced flaky tests in odte