gplib

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 https://matplotlib.org/faq/virtualenv_faq.html). 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(
  mean_function=gplib.mea.Fixed(),
  covariance_function=gplib.cov.SquaredExponential(),
  likelihood_function=gplib.lik.Gaussian(),
  inference_method=gplib.inf.ExactGaussian()
)

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 https://gitlab.com/ibaidev/gplib.git
cd gplib
git config user.email 'MAIL'
git config user.name '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

Release files for gplib 0.13.2

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

Source distribution (sdist)

Source distribution for gplib 0.13.2
File	Size	Uploaded
gplib-0.13.2.tar.gz	33.4 kB	Oct 3, 2019	Details

Built distribution (wheel)

Table of built distributions (wheels) for gplib 0.13.2
File	Interpreter	ABI	Platform	Reset
gplib-0.13.2-py2.py3-none-any.whl 76.0 kB Oct 3, 2019	Python 2, Python 3	none	any	Details

Total release size: 109.5 kB

Release files / gplib-0.13.2.tar.gz

Download URL	gplib-0.13.2.tar.gz
Size	33.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`7f5802b9ab51409cca97cce6c810ade14aadb5f45b05dea3ac5f56bcc03841de`
BLAKE2b-256 checksum How to use checksums	`3f4a712801586168dae37b10e37a3e0bdbbd800b330ea52d75f1208782503e78`
Upload date	Oct 3, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.9`

Release files / gplib-0.13.2-py2.py3-none-any.whl

Download URL	gplib-0.13.2-py2.py3-none-any.whl
Size	76.0 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`6fbbb17c8665203c96e9e79251b085475b3cf5391cc1ec1dd29dfb37ed7f3aa5`
BLAKE2b-256 checksum How to use checksums	`b44e807e3a6f7c515e98c4e1c2c158887947edaddcabad81f629da118a76681b`
Upload date	Oct 3, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.9`