Man pages for bnns
Bayesian Neural Network with 'Stan'
| bnns | Generic Function for Fitting Bayesian Neural Network Models |
| bnns.default | Bayesian Neural Network Model Using Formula(default)... |
| bnns_train | Internal function for training the BNN |
| generate_stan_code | Internal function to generate Stan Code Based on Output... |
| generate_stan_code_bin | Internal function to generate Stan Code for Binary Response... |
| generate_stan_code_cat | Internal function to generate Stan Code for Neural Networks... |
| generate_stan_code_cont | Internal function to generate Stan Code for Continuous... |
| measure_bin | Measure Performance for Binary Classification Models |
| measure_cat | Measure Performance for Multi-Class Classification Models |
| measure_cont | Measure Performance for Continuous Response Models |
| predict.bnns | Predict Method for '"bnns"' Objects |
| print.bnns | Print Method for '"bnns"' Objects |
| relu | relu transformation |
| sigmoid | sigmoid transformation |
| softmax_3d | Apply Softmax Function to a 3D Array |
| softplus | softplus transformation |
| summary.bnns | Summary of a Bayesian Neural Network (BNN) Model |
