ML.Net aims to provide machine learning for .Net developers

Posted on 08-08-2018 , by: admin , in , 0 Comments

A new machine learning framework from Microsoft is aimed at .Net developers who want to run common machine learning tasks using a cross-platform, open source system. The beta Version 0.4 is now available.

The features in ML.Net

ML.Net was first announced in May 2018. It provides ways for .Net developers to create models for specific tasks and to make them available to .Net applications via high-level APIs for model training and prediction serving.

The first release of ML.Net included only two basic machine learning tasks, classification and regression. Classification is used for categorizing data—such as spam versus legitimate email, or sentiment analysis. Regression is used to perform predictions on numerical data, such as pricing trends. Sample applications included with the GitHub repo for the project provide examples (and data to train on).

The newest release of ML.Net, Version 0.4, adds support for other tasks such as natural language processing. Over time, Microsoft intends for ML.Net to support a wide range of tasks. Some will be baked directly into the framework; for others, ML.Net’s high-level APIs will be used to drive existing frameworks such as Google’s TensorFlow or Microsoft’s own CNTK (aka Cognitive Toolkit).