{"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/jensen-an-easily-extensible-c-toolkit-for","title":"Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization","arxiv_id":"1807.06574","date":"2018-07-17","proceeding":null,"authors":["Rishabh Iyer","John T. Halloran","Kai Wei"],"abstract":"This paper introduces Jensen, an easily extensible and scalable toolkit for\nproduction-level machine learning and convex optimization. Jensen implements a\nframework of convex (or loss) functions, convex optimization algorithms\n(including Gradient Descent, L-BFGS, Stochastic Gradient Descent, Conjugate\nGradient, etc.), and a family of machine learning classifiers and regressors\n(Logistic Regression, SVMs, Least Square Regression, etc.). This framework\nmakes it possible to deploy and train models with a few lines of code, and also\nextend and build upon this by integrating new loss functions and optimization\nalgorithms.","url_abs":"http://arxiv.org/abs/1807.06574v1","url_pdf":"http://arxiv.org/pdf/1807.06574v1.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":"jensen-an-easily-extensible-c-toolkit-for","repo_url":"https://github.com/rishabhk108/jensen","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"jensen-an-easily-extensible-c-toolkit-for","repo_url":"https://github.com/johnhalloran321/cvxpy_classifiers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}