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0.2.2

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@neerajprad neerajprad released this 04 Dec 20:49
· 736 commits to master since this release

Breaking changes

  • Minor interface changes to MCMC utility functions. All experimental interfaces are marked as such in the documentation.

New Features

  • A numpyro.factor primitive that adds an arbitrary log probability factor to a probabilistic model.

Enhancements and Bug Fixes

  • Addressed a bug where multiple invocations of MCMC.run would wrongly use the previously cached arguments.
  • MCMC reuses compiled model code whenever possible. e.g. when re-running with different but same sized model arguments.
  • Ability to reuse the same warmup state for subsequent MCMC runs using MCMC.warmup.