Tag: ML.NET

Curing Python Envy with ML.Net In early May 2019,  Microsoft released ML.Net 1.0, marking the graduation of ML.Net from research project to Release Candidate. In contrast with many machine learning platforms, which usually provide a Python API, ML.Net, as its name suggests, provides a direct interface for code targeting .Net core, whether written in C#, […]

Microsoft recently released a preview of a machine learning framework for .NET developers—ML.NET. I needed to perform a clustering analysis from existing data in one of my applications. This is a pretty common machine learning task, so I decided to document the basic approach in this article. We’ll use the well-worn iris data set from […]