This release is a pre-release and may not be stable for production use.
julearn
About
The Forschungszentrum Jülich Machine Learning Library
Check our full documentation here: https://juaml.github.io/julearn/index.html
It is currently being developed and maintained at the Applied Machine Learning group at Forschungszentrum Juelich, Germany.
Installation
Use pip to install from PyPI like so:
pip install julearn
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
Release files for julearn 0.3.1.dev104
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| julearn-0.3.1.dev104.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| julearn-0.3.1.dev104-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / julearn-0.3.1.dev104.tar.gz
| Download URL | julearn-0.3.1.dev104.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / julearn-0.3.1.dev104-py3-none-any.whl
| Download URL | julearn-0.3.1.dev104-py3-none-any.whl |
|---|---|
| Size | 218.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
