{"version":"1.0","provider_name":".NET Blog","provider_url":"https:\/\/devblogs.microsoft.com\/dotnet","author_name":"Cesar De la Torre","author_url":"https:\/\/devblogs.microsoft.com\/dotnet\/author\/cesardl\/","title":"Announcing ML.NET 0.6 (Machine Learning .NET) - .NET Blog","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"iZ8dGN0THz\"><a href=\"https:\/\/devblogs.microsoft.com\/dotnet\/announcing-ml-net-0-6-machine-learning-net\/\">Announcing ML.NET 0.6 (Machine Learning .NET)<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/devblogs.microsoft.com\/dotnet\/announcing-ml-net-0-6-machine-learning-net\/embed\/#?secret=iZ8dGN0THz\" width=\"600\" height=\"338\" title=\"&#8220;Announcing ML.NET 0.6 (Machine Learning .NET)&#8221; &#8212; .NET Blog\" data-secret=\"iZ8dGN0THz\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/devblogs.microsoft.com\/dotnet\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-content\/uploads\/sites\/10\/2019\/02\/swimlane-azure-machine-learning.png","thumbnail_width":636,"thumbnail_height":300,"description":"Today we\u2019re announcing our latest monthly release: ML.NET 0.6! ML.NET is a cross-platform, open source machine learning framework for .NET developers. We want to enable every .NET developer to train and use machine learning models in their applications and services. If you haven\u2019t tried ML.NET yet, here\u2019s how you can get started! The ML.NET 0.6 [&hellip;]"}