{"id":20841062,"url":"https://github.com/benchopt/benchmark_ols","last_synced_at":"2025-07-23T04:33:39.354Z","repository":{"id":39685499,"uuid":"293873667","full_name":"benchopt/benchmark_ols","owner":"benchopt","description":"Benchopt benchmark for Ordinary Least Square","archived":false,"fork":false,"pushed_at":"2023-06-28T09:35:54.000Z","size":20,"stargazers_count":4,"open_issues_count":3,"forks_count":6,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-08T22:06:43.615Z","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,"zenodo":null}},"created_at":"2020-09-08T16:57:46.000Z","updated_at":"2022-07-13T10:16:47.000Z","dependencies_parsed_at":"2025-05-08T22:06:44.848Z","dependency_job_id":"0bd49cf9-27b4-4825-a4a0-3588eb4b5be9","html_url":"https://github.com/benchopt/benchmark_ols","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/benchopt/benchmark_ols","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_ols","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_ols/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_ols/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_ols/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/benchopt","download_url":"https://codeload.github.com/benchopt/benchmark_ols/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benchopt%2Fbenchmark_ols/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266618797,"owners_count":23957273,"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","status":"online","status_checked_at":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":["benchmark","optimization"],"created_at":"2024-11-18T01:18:40.092Z","updated_at":"2025-07-23T04:33:39.327Z","avatar_url":"https://github.com/benchopt.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Benchmark repository for Ordinary Least Squares\n===============================================\n\n|Build Status| |Python 3.6+|\n\nBenchopt is a package to simplify and make more transparent and\nreproducible the comparisons of optimization algorithms.\nThe Ordinary Least Squares consists in solving the following program:\n\n\n$$\\\\min_{w} \\\\frac{1}{2} \\\\Vert y - Xw \\\\Vert_2^2$$\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\n$$y \\\\in \\\\mathbb{R}^n, \\\\ X \\\\in \\\\mathbb{R}^{n \\\\times p}$$\n\nInstall\n--------\n\nThis benchmark can be run using the following commands:\n\n.. code-block::\n\n   $ pip install -U benchopt\n   $ git clone https://github.com/benchopt/benchmark_ols\n   $ cd benchmark_ols\n   $ benchopt run .\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::\n\n\t$ benchopt run . -s sklearn -d boston --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_ols/workflows/Tests/badge.svg\n   :target: https://github.com/benchopt/benchmark_ols/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_ols","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbenchopt%2Fbenchmark_ols","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenchopt%2Fbenchmark_ols/lists"}