GopPy (Gaussian Online Processes for Python) is a pure Python module providing a Gaussian process implementation which allows to efficiently add new data online.
Project description
Overview
GopPy (Gaussian Online Processes for Python) is a pure Python module providing a Gaussian process implementation which allows to add new data efficiently online. I wrote this module because all other Python implementations I knew did not support efficient online updates.
The feature list:
scikit-learn compatible interface.
Efficient online updates.
Prediction of first order derivatives.
Estimation of the log likelihood and its derivative.
Well documented.
Supports Python 2.6, 2.7, 3.3, 3.4, and 3.5. Later versions are likely to work as well.
MIT license.
Documentation
The documentation can be found at https://goppy.readthedocs.io/en/latest/.
Installation
You can install GopPy with pip:
pip install goppy
Or you download the latest source distribution from PyPI, extract it and run:
python setup.py install
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.