minor: - Changed return type of functions annotated with NoReturn to None by LiHRaM
2.7.2
- Fixed default KMeans n_init parameters instead of using 'auto' used in scikit-learn>=1.4
2.7.1
- Implemented LearningPolicyType and NeighborhoodPolicyType to simplify input for MAB. - Updated tests to accommodate LearningPolicyType and NeighborhoodPolicyType.
2.7.0
- Implement vectorized functions for Linear policies to speed-up prediction for multiple inputs. - Update tests for LinTS and LinGreedy Policies as a result of using global random seed in vectorized function
2.6.0
- Implement tracking of warm started and partial fitted arms - Implement tracking of cold arms - Limit warm start to learning policies
2.5.0
- Update warm start logic to only warm start an arm once - Implement fix for fitting scalers in Linear policies when variance is too small