NEWS

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.