Metadata-Version: 2.1
Name: fastrank
Version: 0.7.0
Classifiers: Programming Language :: Python :: 3.6
Classifiers: License :: OSI Approved :: MIT License
Classifiers: Operating System :: OS Independent
Requires-Dist: attrs
Requires-Dist: cffi
Requires-Dist: numpy
Summary: FastRank Learning to Rank Library written in Rust.
Home-Page: https://github.com/jjfiv/fastrank
Author: John Foley <johnf@middlebury.edu>
Author-Email: John Foley <johnf@middlebury.edu>
License: MIT
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM

# FastRank ![CI Status Badge](https://github.com/jjfiv/fastrank/workflows/CI/badge.svg) [![PyPI version](https://badge.fury.io/py/fastrank.svg)](https://badge.fury.io/py/fastrank)

My most frequently used learning-to-rank algorithms ported to rust for efficiency.

Read my [blog-post](https://jjfoley.me/2019/10/11/fastrank-alpha.html) announcing the first public version: 0.4. It's alpha because I think the API needs work, not because there's any sort of known correctness or compatiblity issues.

## Python Requirement

 - 0.5 and earlier require only Python 3.5, but no windows builds were pushed.
 - 0.6 requires Python 3.6 due to EOL for Python 3.5 becoming prevalent in the latest pip.
 - 0.6.1 switched to manylinux2010 building; you might get better vectorization from a local copy.
 - 0.7 maintains the requirement of Python 3.6
 - 0.8 and forward will require Python 3.7 so we can use the standard @dataclass annotation and drop the attrs dependency.

## Python Usage 

```shell
pip install fastrank
```

See this [Colab notebook](https://colab.research.google.com/drive/1IjF7yTin1XaNO_6mBNxAoQYTmF0nckk1) for more, or see a static version [here on Github](https://github.com/jjfiv/fastrank/blob/master/examples/FastRankDemo.ipynb).


