Juelich Machine Learning Library
Project description
julearn
The Forschungszentrum Jülich Machine Learning Library
Check our full documentation here: https://juaml.github.io/julearn/index.html Check our video tutorial here: Julearn Playlist
Licensing
julearn is released under the AGPL v3 license:
julearn, FZJuelich AML machine learning library. Copyright (C) 2020, authors of julearn.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see http://www.gnu.org/licenses/.
Citing
We still do not have a publication that you can use to cite julearn in your manuscript. However, julearn realies heavily on scikit-learn.
Please cite scikit-learn: https://scikit-learn.org/stable/about.html#citing-scikit-learn
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for julearn-0.3.0.dev3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a23e492943577d888101e22e45e52891afd7901cb0664edfe45b107043655dbf |
|
MD5 | 6c7d994ce177b20b2c3491749ea3786e |
|
BLAKE2b-256 | f9fa38c00fe065b30b0bb9f37d9ee2ad9b327a64877962efe498406c2a9b50b4 |