Releases: bambinos/bambi
Releases · bambinos/bambi
Bambi 0.7.1
This is a patch release where we fix a bug related to the shape of 2 level categorical group-specific effects (#441)
Bambi 0.7.0
This release includes a mix of new features, fixes, and new examples on our webpage.
New features
- Add "categorical" built-in family (#426)
- Add
include_mean
argument to the methodModel.fit()
(#434) - Add
.set_alias()
method toModel
(#435)
Maintenance and fixes
- Codebase for the PyMC backend has been refactored (#408)
- Fix examples that averaged posterior values across chains (#429)
- Fix issue #427 with automatic priors for the intercept term (#430)
Documentation
Bambi 0.6.3
Use formulae 0.2.0
Bambi 0.6.2
Minor fixes to code and docs
Bambi 0.6.1
Mainly changes to the docs and minor fixes.
Bambi 0.6.0
Many changes are included in this release. Some of the most important changes are
- New model families (StudentT, Binomial, Beta).
- In-sample and out-of-sample predictions.
- Improved sampling performance due to predictor centering when the model contains an intercept.
- New default priors (similar to rstanarm default priors).
- It's possible to use potentials.
- There's a new function to load datasets used throughout examples
Bambi 0.5.0
The main changes in this release can be summarized as follows
- Modified the API. Now all information relative to the model is passed in
Model
instantiation instead of inModel.fit()
. - Fixed Gamma, Wald, and Negative Binomial families.
- Changed theme of the webpage and now the documentation is built automatically.
Release 0.4.1
The aim of this release is to update to formulae 0.0.9, which contains several bug fixes. There are also other minor fixes and improvements that can be found in the changelog.
The formulae bambino
The main change in this release is the use of formulae, instead of patsy, to parse model formulas.
Release 0.3.0
Bump version to 0.3.0 (#289)