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ML.NET - .NET Blog

MLOps: DevOps for Machine Learning

October 13, 2020 Oct 13, 2020 10/13/20
Bri Achtman
Machine Learning Operations (MLOps) is like DevOps for the machine learning lifecycle. This includes things like model deployment & management and data tracking, which help with productionizing machine learning models. Through the survey below, we'd love to get feedback on your current DevOps practices as well as your prospective usage ...

ML.NET September Updates

September 25, 2020 Sep 25, 2020 09/25/20
Bri Achtman
This release of ML.NET (1.5.2) brings numerous bug fixes and enhancements, while tooling updates include the ability to train object detection models using Azure ML via Model Builder and to locally train image classification models with the ML.NET CLI.

Introducing the Half type!

August 31, 2020 Aug 31, 2020 08/31/20
Prashanth Govindarajan
The IEEE 754 specification defines many floating point types, including: binary16, binary32, binary64 and binary128. Most developers are familiar with binary32 (equivalent to float in C#) and binary64 (equivalent to double in C#). They provide a standard format to represent a wide range of values with a precision acceptable for many ...

August ML.NET API and Tooling Updates

August 20, 2020 Aug 20, 2020 08/20/20
Bri Achtman
ML.NET is an open-source, cross-platform machine learning framework for .NET developers. It enables integrating machine learning into your .NET apps without requiring you to leave the .NET ecosystem or even have a background in ML or data science. ML.NET provides tooling (Model Builder UI in Visual Studio and the cross platform ML.NET CLI) ...