goppy 1.0

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.

• Good test coverage.

• Supports Python 2.6, 2.7, 3.2, and 3.3. Later versions are likely to work as well.

• MIT license.

Documentation

The documentation can be found at http://goppy.readthedocs.org/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