Mabwiser

Latest version: v2.7.4

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2.7.4

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minor:
- Changed np.Inf to np.inf to fix CI issues

2.7.3

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minor:
- Changed return type of functions annotated with NoReturn to None by LiHRaM

2.7.2

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minor:
- Fixed default KMeans n_init parameters instead of using 'auto' used in scikit-learn>=1.4

2.7.1

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minor:
- Implemented LearningPolicyType and NeighborhoodPolicyType to simplify input for MAB.
- Updated tests to accommodate LearningPolicyType and NeighborhoodPolicyType.

2.7.0

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major:
- 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

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major:
- Implement tracking of warm started and partial fitted arms
- Implement tracking of cold arms
- Limit warm start to learning policies

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