pygp 1.1.10

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

pip install pygp

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Release files for pygp 1.1.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pygp 1.1.10
File	Size	Uploaded
pygp-1.1.10.tar.gz	75.2 kB	Jul 2, 2013	Details

Built distribution (wheel)

Table of built distributions (wheels) for pygp 1.1.10
File	Interpreter	ABI	Platform	Reset
pygp-1.1.10.linux-x86_64.tar.gz 680.7 kB Jul 2, 2013				Details

Total release size: 755.9 kB

Release files / pygp-1.1.10.tar.gz

Download URL	pygp-1.1.10.tar.gz
Size	75.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`befa331b952236aa1acba104ed648b1a8cb10a72a951c399a26f44013df0a1bd`
BLAKE2b-256 checksum How to use checksums	`6f91bf1be1c116f7cb79c4140565aa5bbaa9e6c4699bf032d5502d90db2e5dc4`
Upload date	Jul 2, 2013
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / pygp-1.1.10.linux-x86_64.tar.gz

Download URL	pygp-1.1.10.linux-x86_64.tar.gz
Size	680.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`6aad44888728786dc991124297b9fab5340cbf3609bcafea813326fff50b173e`
BLAKE2b-256 checksum How to use checksums	`3f4b064b791c85534ac363ef2fad95f074b5902a693ad3d2539a2566ccd1cc07`
Upload date	Jul 2, 2013
Uploaded using Trusted Publishing? What is trusted publishing?	No