{"id":20609540,"url":"https://github.com/trilokida/scikit-learn-pipeline","last_synced_at":"2026-04-20T00:07:52.650Z","repository":{"id":252619483,"uuid":"840959937","full_name":"TrilokiDA/scikit-learn-pipeline","owner":"TrilokiDA","description":"Utilities to build a composite estimator as a chain of transforms and estimators.","archived":false,"fork":false,"pushed_at":"2024-08-12T19:43:04.000Z","size":54,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-17T03:16:51.621Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/TrilokiDA.png","metadata":{"files":{"readme":"README.md","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":"2024-08-11T08:10:46.000Z","updated_at":"2024-08-12T19:43:06.000Z","dependencies_parsed_at":"2024-11-16T10:13:55.466Z","dependency_job_id":"ca5c02bf-9fa6-4b83-8331-70e2f91ab4c9","html_url":"https://github.com/TrilokiDA/scikit-learn-pipeline","commit_stats":null,"previous_names":["trilokida/scikit-learn-pipeline"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrilokiDA%2Fscikit-learn-pipeline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrilokiDA%2Fscikit-learn-pipeline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrilokiDA%2Fscikit-learn-pipeline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TrilokiDA%2Fscikit-learn-pipeline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TrilokiDA","download_url":"https://codeload.github.com/TrilokiDA/scikit-learn-pipeline/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242257167,"owners_count":20098109,"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":[],"created_at":"2024-11-16T10:13:51.217Z","updated_at":"2026-04-20T00:07:52.611Z","avatar_url":"https://github.com/TrilokiDA.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# scikit-learn-pipeline\n**Pipeline** can be used to chain multiple estimators into one. This is useful as there is often a fixed sequence of steps in processing the data, for example feature selection, normalization and classification. \u003c/br\u003e\nPipeline serves multiple purposes here:\n\nConvenience and encapsulation \u003c/br\u003e\n- You only have to call fit and predict once on your data to fit a whole sequence of estimators.\n\nJoint parameter selection \u003c/br\u003e\n- You can grid search over parameters of all estimators in the pipeline at once.\n\nSafety\u003c/br\u003e\n- Pipelines help avoid leaking statistics from your test data into the trained model in cross-validation, by ensuring that the same samples are used to train the transformers and predictors.\u003c/br\u003e\n\n[sklearn.pipeline](https://scikit-learn.org/stable/api/sklearn.pipeline.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrilokida%2Fscikit-learn-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftrilokida%2Fscikit-learn-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrilokida%2Fscikit-learn-pipeline/lists"}