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Releases: ascsn/pybmc

v0.2.4

18 Oct 16:03
8028de0

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What's Changed

  • Add Development and Testing section to README by @Copilot in #21
  • Allow truth data to have smaller domain than prediction models in BMC by @Copilot in #22

Full Changelog: v0.2.3...v0.2.4

v0.2.3

07 Oct 22:31
8a51477

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What's Changed

  • Replace hardwired print statements with configurable logging in Dataset class by @Copilot in #20

New Contributors

  • @Copilot made their first contribution in #20

Full Changelog: v0.2.2...v0.2.3

v0.2.2

07 Oct 21:23
1de6f34

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Full Changelog: v0.2.1...v0.2.2

v0.2.1

07 Oct 21:16
011bbe2

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Full Changelog: v0.2.0...v0.2.1

v0.2.0

07 Oct 20:48
c412551

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This release represents a complete picture of the base functionality of the package. This essentially implements everything needed to reproduce our paper on BMC and model orthogonalization.

What's Changed

New Contributors

Full Changelog: v0.1.2...v0.2.0

v0.1.2 - Hotfixes for Docs

26 Jul 19:55

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v0.1.1 - Packaging Fixes

26 Jul 18:21

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v0.1.0

25 Jul 19:31
1ddf9d6

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What's Changed

  • Bayesian model combination framework by @kylegodbey in #3
  • Update models to use numpy arrays for domain and range by @kylegodbey in #4
  • Add flags to BayesianModelCombination class by @kylegodbey in #5
  • Update the README by @kylegodbey in #6
  • Add MkDocs documentation site with mkdocstrings by @kylegodbey in #7
  • Added requirements.txt, added to init.py. Can now view docs from CLI by @dashertr in #11

New Contributors

Full Changelog: https://github.com/ascsn/pybmc/commits/v0.1.0