{"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/190409448","title":"LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms","arxiv_id":"1904.09448","date":"2019-04-20","proceeding":null,"authors":["Vinod Kumar Chauhan","Anuj Sharma","Kalpana Dahiya"],"abstract":"LIBS2ML is a library based on scalable second order learning algorithms for\nsolving large-scale problems, i.e., big data problems in machine learning.\nLIBS2ML has been developed using MEX files, i.e., C++ with MATLAB/Octave\ninterface to take the advantage of both the worlds, i.e., faster learning using\nC++ and easy I/O using MATLAB. Most of the available libraries are either in\nMATLAB/Python/R which are very slow and not suitable for large-scale learning,\nor are in C/C++ which does not have easy ways to take input and display\nresults. So LIBS2ML is completely unique due to its focus on the scalable\nsecond order methods, the hot research topic, and being based on MEX files.\nThus it provides researchers a comprehensive environment to evaluate their\nideas and it also provides machine learning practitioners an effective tool to\ndeal with the large-scale learning problems. LIBS2ML is an open-source, highly\nefficient, extensible, scalable, readable, portable and easy to use library.\nThe library can be downloaded from the URL:\n\\url{https://github.com/jmdvinodjmd/LIBS2ML}.","url_abs":"http://arxiv.org/abs/1904.09448v1","url_pdf":"http://arxiv.org/pdf/1904.09448v1.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":"190409448","repo_url":"https://github.com/jmdvinodjmd/LIBS2ML","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"second-order-methods","task_name":"Second-order methods"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}