A package to implement and extend the methods desribed in 'A General Approach to Progressive Learning'
Project description
ProgLearn
ProgLearn
(Progressive Learning) is a package for exploring and using progressive learning algorithms developed by the neurodata group.
- Installation Guide: http://proglearn.neurodata.io/install.html
- Documentation: http://proglearn.neurodata.io
- Tutorials: http://proglearn.neurodata.io/tutorials.html
- Source Code: http://proglearn.neurodata.io/reference/index.html
- Issues: https://github.com/neurodata/proglearn/issues
- Contribution Guide: http://proglearn.neurodata.io/contributing.html
Some system/package requirements:
- Python: 3.6+
- OS: All major platforms (Linux, macOS, Windows)
- Dependencies: keras, scikit-learn, scipy, numpy, joblib
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
proglearn-0.0.3.tar.gz
(17.9 kB
view details)
File details
Details for the file proglearn-0.0.3.tar.gz
.
File metadata
- Download URL: proglearn-0.0.3.tar.gz
- Upload date:
- Size: 17.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.44.1 CPython/3.7.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0c69ca13beeb328737dd9c1e7d730ee90e060c6fe42e774e945601725513a5e1 |
|
MD5 | 11a40a3bf89f5500d044c2a9ca83513c |
|
BLAKE2b-256 | 8de4a2076c8dcba0cd37f8411b1b3f4ae87396d972d969b7e3156976bfc87227 |