{"id":32158285,"url":"https://github.com/darrencl/featureselectors.jl","last_synced_at":"2026-02-19T02:02:29.610Z","repository":{"id":43342089,"uuid":"243430812","full_name":"darrencl/FeatureSelectors.jl","owner":"darrencl","description":"Lightweight feature selection package in Julia","archived":false,"fork":false,"pushed_at":"2022-07-01T05:25:28.000Z","size":234,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-23T21:59:19.200Z","etag":null,"topics":["data-science","feature-extraction","feature-selection"],"latest_commit_sha":null,"homepage":"","language":"Julia","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/darrencl.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-02-27T04:31:02.000Z","updated_at":"2022-05-09T03:15:28.000Z","dependencies_parsed_at":"2022-09-21T01:01:18.607Z","dependency_job_id":null,"html_url":"https://github.com/darrencl/FeatureSelectors.jl","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/darrencl/FeatureSelectors.jl","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darrencl%2FFeatureSelectors.jl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darrencl%2FFeatureSelectors.jl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darrencl%2FFeatureSelectors.jl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darrencl%2FFeatureSelectors.jl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/darrencl","download_url":"https://codeload.github.com/darrencl/FeatureSelectors.jl/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/darrencl%2FFeatureSelectors.jl/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29600847,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-19T00:59:38.239Z","status":"online","status_checked_at":"2026-02-19T02:00:07.702Z","response_time":117,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","feature-extraction","feature-selection"],"created_at":"2025-10-21T12:59:47.815Z","updated_at":"2026-02-19T02:02:29.605Z","avatar_url":"https://github.com/darrencl.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FeatureSelectors.jl\n\n[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://darrencl.github.io/FeatureSelectors.jl/stable)\n[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://darrencl.github.io/FeatureSelectors.jl/dev)\n[![CI](https://github.com/darrencl/FeatureSelectors.jl/workflows/CI/badge.svg)](https://github.com/darrencl/FeatureSelectors.jl/actions?query=workflow%3ACI)\n[![Codecov](https://codecov.io/gh/darrencl/FeatureSelectors.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/darrencl/FeatureSelectors.jl)\n\nSimple tool to select feature based on the statistical relationship between features to target variable. The currently implemented feature is based on:\n\n* Correlation\n* P-value, which can be obtained by either Chi-square or F test\n\n## Quick start\n\n```\njulia\u003e using RDatasets, FeatureSelectors, DataFrames\n\njulia\u003e boston = dataset(\"MASS\", \"Boston\");\n\njulia\u003e selector = UnivariateFeatureSelector(method=pearson_correlation, k=5)\nUnivariateFeatureSelector(FeatureSelectors.pearson_correlation, 5, nothing)\n\njulia\u003e select_features(\n           selector,\n           boston[:, Not(:MedV)],\n           boston.MedV\n       )\n5-element Vector{String}:\n \"LStat\"\n \"Rm\"\n \"PTRatio\"\n \"Indus\"\n \"Tax\"\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarrencl%2Ffeatureselectors.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdarrencl%2Ffeatureselectors.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdarrencl%2Ffeatureselectors.jl/lists"}