Metadata-Version: 2.1
Name: fseval
Version: 2.0.2
Summary: UNKNOWN
Home-page: https://dunnkers.com/
Author: Jeroen Overschie
License: MIT
Description: # fseval
        
        [![build status](https://github.com/dunnkers/fseval/actions/workflows/python-app.yml/badge.svg)](https://github.com/dunnkers/fseval/actions/workflows/python-app.yml) [![pypi badge](https://img.shields.io/pypi/v/fseval.svg?maxAge=3600)](https://pypi.org/project/fseval/)
        
        A Feature Selector and Feature Ranker benchmarking library. Neatly integrates with wandb and sklearn. Uses Hydra as a config parser.
        
        ## Usage
        ```shell
        pip install fseval
        ```
        
        fseval help:
        ```shell
        fseval --help
        ```
        
        Now, create a [wandb](https://wandb.ai/) account and login to the CLI. We are now able to run benchmarks 💪🏻. The results will automatically be uploaded to the wandb dashboard.
        
        Run ReliefF on Iris dataset:
        ```shell
        fseval dataset=iris estimator@pipeline.ranker=relieff
        ```
        
        
        ### About
        Built by [Jeroen Overschie](https://dunnkers.com/) as part of the Masters Thesis (_Data Science and Computational Complexity_ track at the University of Groningen).
Platform: UNKNOWN
Description-Content-Type: text/markdown
