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Release 0.14.0

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@tomicapretto tomicapretto released this 10 Jul 09:46
· 12 commits to main since this release
0.14.0
f66cff6

New features

  • Add configuration facilities to Bambi (#745)
  • Interpet submodule now outputs informative messages when computing default values (#745)
  • Bambi supports weighted responses (#761)
  • Bambi supports constrained responses (#764)
  • Implement compute_log_likelihood() method to compute the log likelihood on a model (#769)
  • Add a class InferenceMethods that allows users to access the available inference methods and kwargs (#795)

Maintenance and fixes

  • Fix bug in predictions with models using HSGP (#780)
  • Fix get_model_covariates() utility function (#801)
  • Use pm.compute_deterministics() to compute deterministics when bayeux based samplers are used (#803)
  • Wrap all the parameters of the response distribution (the likelihood) with a pm.Deterministic (#804)
  • Keep bayeux-ml as the single direct JAX-related dependency (#804)
  • The response component only holds response information about the response, not about predictors of the parent parameter (#804)
  • Resolve import error associated with bayeux (#822)

Documentation

  • Our Code of Conduct now includes how to send a report (#783)
  • Add polynomial regression example (#809)
  • Add Contact form to our webpage (#816)

Deprecation

  • f"{response_name}_obs" has been replaced by "__obs__" as the dimension name for the observation index (#804)
  • f"{response_name}_{parameter_name}" is no longer the name for the name of parameters of the likelihood. Now Bambi uses "{parameter_name}" (#804)
  • kind in Model.predict() now use "response_params" and "response" instead of "mean" and "pps" (#804)
  • include_mean has been replaced by include_response_params in Model.fit() (#804)
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