{"id":20841025,"url":"https://github.com/benchopt/benchmark_logreg_l2","last_synced_at":"2025-05-08T22:06:16.096Z","repository":{"id":40245314,"uuid":"298525333","full_name":"benchopt/benchmark_logreg_l2","owner":"benchopt","description":"Benchopt benchmark for L2-regularized Logistic Regression","archived":false,"fork":false,"pushed_at":"2024-09-26T23:00:14.000Z","size":62,"stargazers_count":5,"open_issues_count":14,"forks_count":16,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-08T22:05:56.627Z","etag":null,"topics":["benchmark","optimization"],"latest_commit_sha":null,"homepage":"https://benchopt.github.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/benchopt.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2020-09-25T09:16:59.000Z","updated_at":"2024-11-13T10:40:58.000Z","dependencies_parsed_at":"2024-06-07T15:56:47.363Z","dependency_job_id":"96af40ee-e193-4ba3-8fa2-82cc82caa959","html_url":"https://github.com/benchopt/benchmark_logreg_l2","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_logreg_l2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_logreg_l2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_logreg_l2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_logreg_l2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/benchopt","download_url":"https://codeload.github.com/benchopt/benchmark_logreg_l2/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253154974,"owners_count":21862622,"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":["benchmark","optimization"],"created_at":"2024-11-18T01:18:33.766Z","updated_at":"2025-05-08T22:06:16.043Z","avatar_url":"https://github.com/benchopt.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Benchmark repository for L2-regularized Logistic Regression\n===========================================================\n\n|Build Status| |Python 3.6+|\n\n``Benchopt`` is a package to simplify and make more transparent and\nreproducible the comparisons of optimization algorithms.\nThe L2-regularized Logistic Regression consists in solving the following program:\n\n$$\n\\\\min_w \\\\sum_{i=1}^{n} \\\\log(1 + \\\\exp(-y_i x_i^\\\\top w)) + \\\\frac{\\\\lambda}{2} \\\\lVert w \\\\rVert_2^2\n$$\n\nwhere $n$ (or ``n_samples``) stands for the number of samples, $p$ (or ``n_features``) stands for the number of features and\n\n$$\ny \\\\in \\\\mathbb{R}^n, X = [x_1^\\\\top, \\\\dots, x_n^\\\\top]^\\\\top \\\\in \\\\mathbb{R}^{n \\\\times p}\n$$\n\n\nInstall\n--------\n\nThis benchmark can be run using the following commands:\n\n.. code-block:: shell\n\n   pip install -U benchopt\n   git clone https://github.com/benchopt/benchmark_logreg_l2\n   benchopt run ./benchmark_logreg_l2\n\n\nApart from the problem, options can be passed to ``benchopt run``, to restrict the benchmarks to some solvers or datasets, e.g.:\n\n.. code-block:: shell\n\n\t$ benchopt run benchmark_logreg_l2 -s sklearn -d simulated --max-runs 10 --n-repetitions 10\n\n\nUse ``benchopt run -h`` for more details about these options, or visit https://benchopt.github.io/api.html.\n\n.. |Build Status| image:: https://github.com/benchopt/benchmark_logreg_l2/actions/workflows/main.yml/badge.svg\n   :target: https://github.com/benchopt/benchmark_logreg_l2/actions\n.. |Python 3.6+| image:: https://img.shields.io/badge/python-3.6%2B-blue\n   :target: https://www.python.org/downloads/release/python-360/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenchopt%2Fbenchmark_logreg_l2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbenchopt%2Fbenchmark_logreg_l2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenchopt%2Fbenchmark_logreg_l2/lists"}