The latest version of ML.NET supports exporting models to the ONNX format

At Build developer conference early this year, Microsoft announced ML.NET, a cross-platform machine learning framework that will enable .NET developers to develop their own models and infuse custom ML into their apps without any experience in working with machine learning models.

Recently, Microsoft announced the release of ML.NET 0.3 with support for exporting models to the ONNX format, support for creating new types of models with Factorization Machines, LightGBM, Ensembles, and LightLDA, and various bug fixes and issues reported by the community. Read about these new features and improvements using the links below.

Source: Microsoft

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