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Running ML.NET in F#

Matt Eland builds a notebook:

In this article I’ll outline a simple pipeline that trains a regression machine learning model and saves it to a file for use later on. We’ll look at how to load the model using F# and use it to generate new predictions for new data points.

To round things out, I’ll be showing you how to do this all in a Polyglot Notebook, though you can skim over this aspect of the experiment as almost all of the code will work just fine in a normal .fs file outside of Polyglot Notebooks.

At the end, Matt mentions that the F# code looks a whole lot like C# code and that’s my biggest problem with the library: it forces you into writing C#-style code.