Skip to main content

Python library for Gaussian Process Regression.

Project description

A python library for Gaussian Process Regression.

Setup GPlib

  • Create and activate virtualenv (for python2) or venv (for python3)
# for python3
python3 -m venv .env
# or for python2
python2 -m virtualenv .env

source .env/bin/activate
  • Upgrade pip
python -m pip install --upgrade pip
  • Install GPlib package
python -m pip install gplib
  • Matplotlib requires to install a backend to work interactively (See The easiest solution is to install the Tk framework, which can be found as python-tk (or python3-tk) on certain Linux distributions.

Use GPlib

  • Import GPlib to use it in your python script.
import gplib
  • Initialize the GP with the desired modules.
gp = gplib.GP(
  • Plot the GP.
gplib.plot.gp_1d(gp, n_samples=10)
  • Generate some random data.
import numpy as np
data = {
  'X': np.arange(3, 8, 1.0)[:, None],
  'Y': np.random.uniform(0, 2, 5)[:, None]
  • Get the posterior GP given the data.
posterior_gp = gp.get_posterior(data)
  • Finally plot the posterior GP.
gplib.plot.gp_1d(posterior_gp, data, n_samples=10)
  • There are more examples in examples/ directory. Check them out!

Develop GPlib

  • Download the repository using git
git clone
cd gplib
git config 'MAIL'
git config 'NAME'
git config credential.helper 'cache --timeout=300'
git config push.default simple
  • Update API documentation
source ./.env/bin/activate
pip install Sphinx
cd docs/
sphinx-apidoc -f -o ./ ../gplib

Project details

Release history Release notifications | RSS feed

Download files

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

Files for gplib, version 0.16.6
Filename, size File type Python version Upload date Hashes
Filename, size gplib-0.16.6-py2.py3-none-any.whl (77.6 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size gplib-0.16.6.tar.gz (35.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page