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
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| File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
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| pygp-1.1.10.linux-x86_64.tar.gz (680.7 kB) Copy SHA256 Checksum SHA256 | any | Dumb Binary | Jul 2, 2013 |
| pygp-1.1.10.tar.gz (75.2 kB) Copy SHA256 Checksum SHA256 | – | Source | Jul 2, 2013 |
