Python package for Gaussian process regression in python ======================================================== demo_gpr.py explains how to perform basic regression tasks. demo_gpr_robust.py shows how to apply EP for robust Gaussian process regression. gpr.py Basic gp regression package gpr_ep.py GP regression with EP likelihood models covar: covariance functions
Project description
UNKNOWN
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size pygp-1.1.10.linux-x86_64.tar.gz (680.7 kB) | File type Dumb Binary | Python version any | Upload date | Hashes View hashes |
| Filename, size pygp-1.1.10.tar.gz (75.2 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
