1.9.1

New Features

• Stable.log_prob() is now implemented and differentiable by BenZickel in #3369, #3370
• Introducing pyro.infer.predictive.WeighedPredictive which reports weights along with predicted samples by @BenZickel in #3345
• Resampler for weighed samples by @BenZickel in #3352
• Add function for calculating quantiles of weighed samples. by @BenZickel in #3340
• Add effective sample size analytics to WeighedPredictive results by @BenZickel in #3351
• Introducing PyroModuleList, because torch.nn.ModueList reinitializies modules when slice-indexing by @MartinBubel in #3339

Type hints

• Type annotate pyro.nn.module in #3337
• Fixes to type hints #3333, #3334

Additional changes

• small update doc HMC by @dario-coscia in #3335
• Type annotate pyro.nn.dense_nn and pyro.nn.auto_reg_nn by @ordabayevy in #3342
• Enable type checking of the tests folder by @ordabayevy in #3336
• Auto regressive nn on gpu - revisited by @cafletezbrant in #3346
• GCC-8 CI error test by @ordabayevy in #3349
• Fix ruff version to 0.3.4 in order to overcome issue with version 0.3.5. by @BenZickel in #3354
• Fix ruff settings & remove flake8 and isort settings by @ordabayevy in #3356
• Unpin ruff version by @BenZickel in #3357
• Switch dependency from jupyter to notebook by @fritzo in #3360
• Add the energy score scoring rule for comparing multivariate distributions by @BenZickel in #3362
• Add jupyter lab option to docker Makefile by @eteq in #3363
• Replace torch._utils._accumulate with numpy.cumsum. by @BenZickel in #3364
• Fix PyroModule rendering error in local-parameter mode by @eb8680 in #3366

New Contributors

• @dario-coscia made their first contribution in #3335
• @MartinBubel made their first contribution in #3339
• @BenZickel made their first contribution in #3340
• @cafletezbrant made their first contribution in #3346
• @eteq made their first contribution in #3363

Full Changelog: 1.9.0...1.9.1