{"id":7335,"date":"2018-07-13T02:13:42","date_gmt":"2018-07-12T18:13:42","guid":{"rendered":"https:\/\/blogs.msdn.microsoft.com\/vsnews\/?p=7335"},"modified":"2019-02-18T12:37:48","modified_gmt":"2019-02-18T20:37:48","slug":"aa1uvm1","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/vsnews\/akams-aa1uvm1\/","title":{"rendered":"Announcing ML.NET 0.3"},"content":{"rendered":"<p>Two months ago,<span>\u00a0<\/span><a href=\"https:\/\/blogs.msdn.microsoft.com\/dotnet\/2018\/05\/07\/introducing-ml-net-cross-platform-proven-and-open-source-machine-learning-framework\/\">at \/\/Build 2018, we released ML.NET 0.1<\/a>, a cross-platform, open source machine learning framework for .NET developers. We\u2019ve gotten great feedback so far and would like to thank the community for your engagement as we continue to develop<span>\u00a0<\/span><a href=\"https:\/\/github.com\/dotnet\/machinelearning\">ML.NET<\/a><span>\u00a0<\/span>together in the open.<\/p>\n<p>We are happy to announce the latest version:<span>\u00a0<\/span><strong>ML.NET 0.3<\/strong>. This release supports exporting models to the<span>\u00a0<\/span><a href=\"http:\/\/onnx.ai\/\">ONNX<\/a><span>\u00a0<\/span>format, enables creating new types of models with Factorization Machines, LightGBM, Ensembles, and LightLDA, and addressing a variety of issues and feedback we received from the community.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Two months ago,\u00a0at \/\/Build 2018, we released ML.NET 0.1, a cross-platform, open source machine learning framework for .NET developers. We\u2019ve gotten great feedback so far and would like to thank the community for your engagement as we continue to develop\u00a0ML.NET\u00a0together in the open. We are happy to announce the latest version:\u00a0ML.NET 0.3. This release supports [&hellip;]<\/p>\n","protected":false},"author":539,"featured_media":8227,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3,8],"tags":[],"class_list":["post-7335","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allskus","category-vs4mac"],"acf":[],"blog_post_summary":"<p>Two months ago,\u00a0at \/\/Build 2018, we released ML.NET 0.1, a cross-platform, open source machine learning framework for .NET developers. We\u2019ve gotten great feedback so far and would like to thank the community for your engagement as we continue to develop\u00a0ML.NET\u00a0together in the open. We are happy to announce the latest version:\u00a0ML.NET 0.3. This release supports [&hellip;]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/7335","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/users\/539"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/comments?post=7335"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/7335\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/media\/8227"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/media?parent=7335"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/categories?post=7335"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/tags?post=7335"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}