https://github.com/darrencl/featureselectors.jl

Lightweight feature selection package in Julia
https://github.com/darrencl/featureselectors.jl

data-science feature-extraction feature-selection

Last synced: 5 months ago
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Lightweight feature selection package in Julia

• Host: GitHub
• URL: https://github.com/darrencl/featureselectors.jl
• Owner: darrencl
• License: mit
• Created: 2020-02-27T04:31:02.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-07-01T05:25:28.000Z (about 4 years ago)
• Last Synced: 2025-10-23T21:59:19.200Z (9 months ago)
• Topics: data-science, feature-extraction, feature-selection
• Language: Julia
• Homepage:
• Size: 229 KB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# FeatureSelectors.jl

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://darrencl.github.io/FeatureSelectors.jl/stable)

[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://darrencl.github.io/FeatureSelectors.jl/dev)

[![CI](https://github.com/darrencl/FeatureSelectors.jl/workflows/CI/badge.svg)](https://github.com/darrencl/FeatureSelectors.jl/actions?query=workflow%3ACI)

[![Codecov](https://codecov.io/gh/darrencl/FeatureSelectors.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/darrencl/FeatureSelectors.jl)

Simple tool to select feature based on the statistical relationship between features to target variable. The currently implemented feature is based on:

* Correlation

* P-value, which can be obtained by either Chi-square or F test

## Quick start

```

julia> using RDatasets, FeatureSelectors, DataFrames

julia> boston = dataset("MASS", "Boston");

julia> selector = UnivariateFeatureSelector(method=pearson_correlation, k=5)

UnivariateFeatureSelector(FeatureSelectors.pearson_correlation, 5, nothing)

julia> select_features(

           selector,

           boston[:, Not(:MedV)],

           boston.MedV

       )

5-element Vector{String}:

 "LStat"

 "Rm"

 "PTRatio"

 "Indus"

 "Tax"

```