{"id":24485406,"url":"https://github.com/jeremiedb/evolinear.jl","last_synced_at":"2025-04-13T19:22:11.050Z","repository":{"id":59411495,"uuid":"535735682","full_name":"jeremiedb/EvoLinear.jl","owner":"jeremiedb","description":"Linear models","archived":false,"fork":false,"pushed_at":"2024-06-14T22:21:29.000Z","size":437,"stargazers_count":10,"open_issues_count":2,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T10:41:31.443Z","etag":null,"topics":["boosting","gradient-boosting","julia-language","linear-models","machine-learning"],"latest_commit_sha":null,"homepage":"https://jeremiedb.github.io/EvoLinear.jl/dev/","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/jeremiedb.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-09-12T15:38:28.000Z","updated_at":"2023-06-28T08:43:18.000Z","dependencies_parsed_at":"2022-09-16T01:11:40.543Z","dependency_job_id":"f6f93f22-f925-4303-ad5b-3e0d285d5454","html_url":"https://github.com/jeremiedb/EvoLinear.jl","commit_stats":null,"previous_names":[],"tags_count":8,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeremiedb%2FEvoLinear.jl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeremiedb%2FEvoLinear.jl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeremiedb%2FEvoLinear.jl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeremiedb%2FEvoLinear.jl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jeremiedb","download_url":"https://codeload.github.com/jeremiedb/EvoLinear.jl/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248766687,"owners_count":21158302,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["boosting","gradient-boosting","julia-language","linear-models","machine-learning"],"created_at":"2025-01-21T14:17:48.924Z","updated_at":"2025-04-13T19:22:11.027Z","avatar_url":"https://github.com/jeremiedb.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EvoLinear\n\n| Documentation | CI Status | Coverage |\n|:------------------------:|:----------------:|:----------------:|\n| [![][docs-stable-img]][docs-stable-url] [![][docs-latest-img]][docs-latest-url] | [![][ci-img]][ci-url] | [![][cov-img]][cov-url] |\n\n[docs-latest-img]: https://img.shields.io/badge/docs-latest-blue.svg\n[docs-latest-url]: https://jeremiedb.github.io/EvoLinear.jl/dev\n\n[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg\n[docs-stable-url]: https://jeremiedb.github.io/EvoLinear.jl/stable\n\n[ci-img]: https://github.com/jeremiedb/EvoLinear.jl/workflows/CI/badge.svg\n[ci-url]: https://github.com/jeremiedb/EvoLinear.jl/actions?query=workflow%3ACI+branch%3Amain\n\n[cov-img]: https://codecov.io/github/jeremiedb/evolinear.jl/branch/main/graph/badge.svg\n[cov-url]: https://app.codecov.io/github/jeremiedb/evolinear.jl\n\nML library implementing linear boosting with L1 and L2 regularization.\nFor tree based boosting, consider [EvoTrees.jl](https://github.com/Evovest/EvoTrees.jl).\n\nSupported loss functions:\n\n- mse (squared-error)\n- logistic (logloss) regression\n- poisson\n- gamma\n- tweedie\n\n## Installation\n\nFrom General Registry\n\n```\npkg\u003e add EvoLinear\n```\n\nFor latest version\n\n```\npkg\u003e add https://github.com/jeremiedb/EvoLinear.jl\n```\n\n## Getting started\n\nBuild a configuration struct with `EvoLinearRegressor`. Then `EvoLinear.fit` takes `x::Matrix` and `y::Vector` as inputs, plus optionally `w::Vector` as weights and fits a linear boosted model.\n\n```julia\nusing EvoLinear\nconfig = EvoLinearRegressor(loss=:mse, nrounds=10, L1=1e-1, L2=1e-2)\nm = EvoLinear.fit(config; x, y, metric=:mse)\np = m(x)\n```\n\nSplines - Experimental\n\nNumber of knots for selected features is defined through a `Dict` of the form: `Dict(feat_id::Int =\u003e nknots::Int)`.\n```julia\nconfig = EvoSplineRegressor(loss=:mse, nrounds=10, knots = Dict(1 =\u003e 4, 5 =\u003e 8))\nm = EvoLinear.fit(config; x, y, metric=:mse)\np = m(x')\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeremiedb%2Fevolinear.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjeremiedb%2Fevolinear.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeremiedb%2Fevolinear.jl/lists"}