bnns 1.0.0
- New Feature: Added full support for the
tidymodels ecosystem, including integration with
parsnip, recipes, workflows, and
tune.
- New Feature: Added GPU acceleration support for
fitting Bayesian Neural Networks via OpenCL and
cmdstanr.
- New Feature: Introduced model evaluation metrics
using Leave-One-Out (LOO) cross-validation (
loo.bnns()) and
Watanabe-Akaike Information Criterion (waic.bnns()).
- New Feature: Added
save_bnns() and
load_bnns() functions for easy saving and loading of
trained models.
- New Feature: Added a
plot.bnns()
method for visualizing posterior distributions and model
convergence.
- New Feature: Added option to provide character
input for
act_fn and out_act_fn
arguments.
- Changed the package to stable lifecycle and prepared for CRAN
submission.
- Removed
cmdstanr from package dependencies. It is now
accessed dynamically to comply with CRAN policies.
- Removed the manual rhub GitHub Actions badge from the README.
- Added
CODE_OF_CONDUCT.md.
bnns 0.1.2.9000
- Added a
NEWS.md file to track changes to the
package.