Releases
0.14.0
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has been replaced by "__obs__"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has been replaced by include_response_params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 )
You can’t perform that action at this time.