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
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file julearn-0.3.1.dev104.tar.gz.
File metadata
- Download URL: julearn-0.3.1.dev104.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
65bfaab5c89200e4d4d926fc41f8fd1c89c75edbb61790ef8115673d206412c1
|
|
| MD5 |
9fad2af145859ad6292abcc82eb6b706
|
|
| BLAKE2b-256 |
76a29c674f708051a992ba65a3fa0da1ecc36a206ceff975dadaf894bc0aa6ab
|
File details
Details for the file julearn-0.3.1.dev104-py3-none-any.whl.
File metadata
- Download URL: julearn-0.3.1.dev104-py3-none-any.whl
- Upload date:
- Size: 218.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c886340ba9ef2cbf5e0ff91361a5a9bac212b40672e51e5eaf797c07830aae57
|
|
| MD5 |
c87cd23046b2efa42d0ef826ed02117f
|
|
| BLAKE2b-256 |
4c978090c4ff3f4db99cf78f0b7ff5770fdd2bc879509be5c2490f1a0925be1e
|
