https://github.com/jgosmann/goppy
Gaussian Online Processes for Python
https://github.com/jgosmann/goppy
gaussian-processes online-learning python
Last synced: 6 months ago
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Gaussian Online Processes for Python
- Host: GitHub
- URL: https://github.com/jgosmann/goppy
- Owner: jgosmann
- License: mit
- Created: 2014-01-14T17:29:44.000Z (over 11 years ago)
- Default Branch: main
- Last Pushed: 2024-02-24T14:39:50.000Z (over 1 year ago)
- Last Synced: 2024-04-25T02:00:50.305Z (over 1 year ago)
- Topics: gaussian-processes, online-learning, python
- Language: Python
- Size: 421 KB
- Stars: 14
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- License: LICENSE
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README
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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. `_
* 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