{"id":12260,"date":"2019-11-19T10:11:54","date_gmt":"2019-11-19T18:11:54","guid":{"rendered":"http:\/\/devblogs.microsoft.com\/vsnews\/?p=12260"},"modified":"2019-11-19T10:11:54","modified_gmt":"2019-11-19T18:11:54","slug":"aa6lzdm","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/vsnews\/akams-aa6lzdm\/","title":{"rendered":"ML.NET\u00a0Model Builder Updates"},"content":{"rendered":"<p><a href=\"http:\/\/dot.net\/ml\" target=\"_blank\" rel=\"noopener noreferrer\">ML.NET<\/a><span style=\"display: inline !important; float: none; background-color: #ffffff; color: #333333; font-family: Segoe UI,'Segoe UI Web Regular','Segoe UI Regular WestEuropean','Segoe UI',Tahoma,Arial,Roboto,'Helvetica Neue',sans-serif,'Apple Color Emoji','Segoe UI Emoji','Segoe UI Symbol'; font-size: 16.93px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;\"> is a cross-platform, machine learning framework for .NET developers, and <\/span><a href=\"http:\/\/aka.ms\/mlnet-modelbuilder\" target=\"_blank\" rel=\"noopener noreferrer\">Model Builder<\/a><span style=\"display: inline !important; float: none; background-color: #ffffff; color: #333333; font-family: Segoe UI,'Segoe UI Web Regular','Segoe UI Regular WestEuropean','Segoe UI',Tahoma,Arial,Roboto,'Helvetica Neue',sans-serif,'Apple Color Emoji','Segoe UI Emoji','Segoe UI Symbol'; font-size: 16.93px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;\"> is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to easily allow you to train and consume custom ML.NET models. With ML.NET and Model Builder, you can create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience!<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ML.NET is a cross-platform, machine learning framework for .NET developers, and Model Builder is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to easily allow you to train and consume custom ML.NET models. With ML.NET and Model Builder, you can create custom machine learning models for scenarios like sentiment analysis, price [&hellip;]<\/p>\n","protected":false},"author":10760,"featured_media":8227,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-12260","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allskus"],"acf":[],"blog_post_summary":"<p>ML.NET is a cross-platform, machine learning framework for .NET developers, and Model Builder is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to easily allow you to train and consume custom ML.NET models. With ML.NET and Model Builder, you can create custom machine learning models for scenarios like sentiment analysis, price [&hellip;]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/12260","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\/10760"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/comments?post=12260"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/12260\/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=12260"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/categories?post=12260"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/tags?post=12260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}