We’re really excited to announce that Infer.NET is joining the .NET Foundation!
Infer.NET is model-based machine learning system for .NET, developed by Microsoft Research in Cambridge, UK. It’s a mature and widely used system, as it’s been developed since 2004, and is the machine learning engine in a number of Microsoft products in Office, Xbox and Azure. A recent example is TrueSkill 2 – a system that matches players in online video games. Implemented in Infer.NET, it is running live in the bestselling titles Halo 5 and Gears of War 4, processing millions of matches.
But in an age of abundance of machine learning libraries, what sets Infer.NET apart from the competition? Great question, and well answered by the Infer.NET team’s post announcing they’re joining the .NET Foundation:
Infer.NET enables a model-based approach to machine learning. This lets you incorporate domain knowledge into your model. The framework can then build a bespoke machine learning algorithm directly from that model. This means that instead of having to map your problem onto a pre-existing learning algorithm that you’ve been given, Infer.NET actually constructs a learning algorithm for you, based on the model you’ve provided.