Mabwiser

Latest version: v2.7.4

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1.7.0

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major:
- The learning_policy and neighborhood_policy attributes have been changed to decorated properties.
- MAB objects can now be serialized with the pickle module.

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1.6.3

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minor:
- Documentation now available at https://fidelity.github.io/mabwiser/

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1.6.2

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minor:
- Changed backend parameter to optional type

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1.6.1

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minor:
- Configurable parallel backend

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1.6.0

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major:
- Configurable empty neighborhood operation for Radius policy
- Empty neighborhood operation changed to use numpy.random.choice instead of numpy.random.randint. Observed predictions for empty neighborhoods may differ from versions 1.5 and prior.

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1.5.10

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minor:
- Bug fix for offline expectation tracking in simulator

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