Holisticai

Fix
- Add random state in calibrated equalized odds
- Update Explainability Metrics and Plots
- Refactoring Bias Datasets, Metrics and Mitigation Tutorials

Fix
- Fix explainers metric computation
- Update Tutorials and readthedocs

Fix
- Update readthedocs code
- Update pre-commit config

Feat
- New Technical Risk Module: Explainability
- Global Metrics based on: Permutation Feature Importance and Surrogate Feature Importance
- Local Metrics based on: Lime and Shap
- Individual Bias Metrics for classification and regression.

Fix
- Improving PluginEstimationCalibration and update docstrings
- Clean code in Bias Mitigators

Feat
- Update class and methods documentation.
- Speedup wasserstein barycenters method.
- Add new mode installation: default(only metrics) and methods(plots and mitigators)

Fix
- Resolve conflicts with sklearn>=1.2.2

Feat
- Update readthedocs project.
- Update plot functions to accepts axis a input arguments.
- Implement Correlation matrix for visualization.
- Resolve conflicts for pandas>=2.0.0 and numpy>=1.24.3

Fix
- Resolve conflicts with python 3.11
- Update notebook bia tutorials and dataset repository.
- Update documentation for PluginEstimationAndCalibration.