{"id":24182835,"url":"https://github.com/alvarag/dropforregression","last_synced_at":"2026-06-05T02:31:23.844Z","repository":{"id":77436321,"uuid":"81815347","full_name":"alvarag/DROPForRegression","owner":"alvarag","description":"Instance selection algorithms based on DROP for regression","archived":false,"fork":false,"pushed_at":"2019-03-19T15:06:02.000Z","size":6282,"stargazers_count":0,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-02T21:19:46.104Z","etag":null,"topics":["instance-selection","machine-learning","regression"],"latest_commit_sha":null,"homepage":null,"language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/alvarag.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":"2017-02-13T10:56:34.000Z","updated_at":"2019-03-19T15:06:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"35cf2947-1795-439c-95c5-f079e07cf823","html_url":"https://github.com/alvarag/DROPForRegression","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/alvarag/DROPForRegression","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvarag%2FDROPForRegression","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvarag%2FDROPForRegression/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvarag%2FDROPForRegression/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvarag%2FDROPForRegression/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alvarag","download_url":"https://codeload.github.com/alvarag/DROPForRegression/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvarag%2FDROPForRegression/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33927314,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-05T02:00:06.157Z","response_time":120,"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":["instance-selection","machine-learning","regression"],"created_at":"2025-01-13T08:15:12.168Z","updated_at":"2026-06-05T02:31:23.825Z","avatar_url":"https://github.com/alvarag.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DROPReg: Drecremental Reduction Optimization Procedure algorithms for Regression\n\nThis is an open-source filter for Weka that implements DROP algorithms for regression.\n\n\n### Cite this software as:\n **Á. Arnaiz-González, J-F. Díez Pastor, Juan J. Rodríguez, C. García Osorio.** _Instance selection for regression: Adapting DROP._ Neurocomputing, 201, 66-81. [doi: 10.1016/j.neucom.2016.04.003](https://doi.org/10.1016/j.neucom.2016.04.003)\n\n```\n@article{ArnaizGonzalez2016,   \n  title = \"Instance selection for regression: Adapting {DROP} \",   \n  journal = \"Neurocomputing \",   \n  volume = \"201\",   \n  number = \"\",   \n  pages = \"66 - 81\",   \n  year = \"2016\",   \n  issn = \"0925-2312\",   \n  doi = \"10.1016/j.neucom.2016.04.003\",   \n  author = \"\\'Alvar Arnaiz-Gonz\\'alez and Jos\\'e F. D\\'iez-Pastor and Juan J. Rodr\\'iguez and C\\'esar Garc\\'ia-Osorio\"   \n}\n```\n\n\n# How to use\n\n## Download and build with ant\n- Download source code: It is host on GitHub. To get the sources and compile them we will need git instructions. The specifically command is:\n```git clone https://github.com/alvarag/DROPReg.git ```\n- Build jar file: \n```ant dist_all ```\nIt generates the jar file under /dist/weka\n\n\n\n## How to run\n\nInclude the file instanceselection.jar into the path. Example: \n\n```java -cp instanceselection.jar:weka.jar weka.gui.GUIChooser```\n\nThe new filter can be found in: weka/filters/supervised/instance.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falvarag%2Fdropforregression","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falvarag%2Fdropforregression","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falvarag%2Fdropforregression/lists"}