{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/easy-hyperparameter-search-using-optunity","title":"Easy Hyperparameter Search Using Optunity","arxiv_id":"1412.1114","date":"2014-12-02","proceeding":null,"authors":["Marc Claesen","Jaak Simm","Dusan Popovic","Yves Moreau","Bart De Moor"],"abstract":"Optunity is a free software package dedicated to hyperparameter optimization.\nIt contains various types of solvers, ranging from undirected methods to direct\nsearch, particle swarm and evolutionary optimization. The design focuses on\nease of use, flexibility, code clarity and interoperability with existing\nsoftware in all machine learning environments. Optunity is written in Python\nand contains interfaces to environments such as R and MATLAB. Optunity uses a\nBSD license and is freely available online at http://www.optunity.net.","url_abs":"http://arxiv.org/abs/1412.1114v1","url_pdf":"http://arxiv.org/pdf/1412.1114v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"easy-hyperparameter-search-using-optunity","repo_url":"https://github.com/claesenm/optunity","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"hyperparameter-optimization","task_name":"Hyperparameter Optimization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1412.1114","atlas_url":"https://app.syntology.ai/?focus=1412.1114","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}