infrastructure for computational experiments in machine learning
Maintainers
Project Description
Reproducible Experiment Platform is a collaborative software infrastructure for computational experiments in machine learning, which allows obtaining reproducible, repeatable results and consistent comparisons of the obtained results.
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| rep-0.6.6.tar.gz (72.5 kB) Copy SHA256 hash SHA256 | Source | None | Aug 9, 2016 |
