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.
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
1 maintainer
Metadata
1 maintainer
Release files for goppy 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| goppy-1.1.2.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| goppy-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.5 kB
Release files / goppy-1.1.2.tar.gz
| Download URL | goppy-1.1.2.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / goppy-1.1.2-py3-none-any.whl
| Download URL | goppy-1.1.2-py3-none-any.whl |
|---|---|
| Size | 14.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.8.4 CPython/3.13.0 Linux/6.5.0-1025-azure
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