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BEMB v.0.1.5

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@TianyuDu TianyuDu released this 29 Sep 07:27
· 42 commits to main since this release
v0.1.5
54168e7

We have updated several features of our package.

What's Changed

  • We allow for partial prior_variance dictionary, for example, you can specify prior_variance={'alpha': 0.3, 'default': 1.5} to set prior variance of alpha coefficient to 0.3 while all other coefficients will have prior variance 1.5.
    …to have unit variance.
  • For label predictions (pred_item=False), we now include more performance metrics.
  • We have updated the utility formula parser mentioned in this issue.
  • We have added a posterior_distribution() to query posterior/variational distribution of coefficient directly.
  • We have fixed known issues on sherlock mentioned in this issue.

Full Changelog: v0.1.4...v0.1.5

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