Man pages for deepgp
Bayesian Deep Gaussian Processes using MCMC
| ALC | Active Learning Cohn for Sequential Design |
| continue | Continues MCMC sampling |
| crps | Calculates CRPS |
| deepgp-package | Package deepgp |
| fit_one_layer | MCMC sampling for one layer GP |
| fit_three_layer | MCMC sampling for three layer deep GP |
| fit_two_layer | MCMC sampling for two layer deep GP |
| IMSE | Integrated Mean-Squared (prediction) Error for Sequential... |
| plot | Plots object from 'deepgp' package |
| post_sample | Generates joint posterior samples from a trained GP/DGP |
| predict | Predict posterior mean and variance/covariance |
| rmse | Calculates RMSE |
| score | Calculates score |
| sq_dist | Calculates squared pairwise distances |
| to_vec | Converts non-Vecchia object to its Vecchia version |
| trim | Trim/Thin MCMC iterations |
