Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pygp, version 1.1.10
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
Filename, size pygp-1.1.10.tar.gz (75.2 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page