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_params | Parameter functions for Bayesian Neural Networks |
| bnns_train | Internal function for training the BNN |
| detect_output_activation | Auto-detect out_act_fn from response variable |
| load_bnns | Load a fitted bnns model from disk |
| loo.bnns | Leave-One-Out Cross-Validation (LOO) for bnns models |
| 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 |
| opencl_diagnostics | OpenCL Diagnostic Information |
| plot.bnns | Plot diagnostics for a fitted Bayesian Neural Network |
| predict.bnns | Predictions from a fitted Bayesian Neural Network |
| print.bnns | Print Method for '"bnns"' Objects |
| relu | relu transformation |
| save_bnns | Save a fitted bnns model to disk |
| 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 |
| translate_activation | Translate parsnip activation name to bnns code |
| translate_out_activation | Translate output activation name to bnns code |
| waic.bnns | Watanabe-Akaike Information Criterion (WAIC) for bnns models |
