API for enweg/quickbnnr
Quick way to implement Bayesian Neural Networks in R and estimating these using Julia's Turing
| Global functions | |
|---|---|
| .summary | Man page Source code |
| .tensor_embed | Man page Source code |
| BDense | Man page Source code |
| BNN | Man page Source code |
| BRNN | Man page Source code |
| Chain | Man page Source code |
| DenseForcePosFirstWeight | Man page Source code |
| DenseOrderedBias | Man page Source code |
| DenseOrderedWeights | Man page Source code |
| clean_parameters | Man page Source code |
| estimate | Man page Source code |
| get_random_symbol | Man page Source code |
| make_net | Man page Source code |
| ndims | Man page Source code |
| predict.quickbnnr.estimate | Man page Source code |
| quickbnnr_seed | Man page Source code |
| quickbnnr_setup | Man page Source code |
| summary.quickbnnr.estimate | Man page Source code |
| tensor_embed | Man page Source code |
