Easily benchmark Machine Learning models on selected tasks and datasets
Project description
Easily benchmark ML models on selected tasks and datasets.
Installation
Requires Python 3.6+.
pip install sotabench-eval
Documentation
You can access the full documentation here.
Contributing
All contributions welcome!
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
sotabencheval-0.0.25.tar.gz
(14.2 kB
view hashes)
Built Distribution
Close
Hashes for sotabencheval-0.0.25-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7c55126f98969eb82e484f968bf49d0429b31cc9986b40042af758166f0e9f77 |
|
MD5 | b7a71594608d3f1a332d350da66b63d8 |
|
BLAKE2b-256 | 51126deef2f271af620df2eeeb381a4fd5f49553fd903561f6c3a1297be49952 |