ML.NET 0.6 is a milestone release as it introduces the new API. There is major work to improve the internals of the library. This release is also bringing massive performance gains in predictions. We are also excited to introduce ONNX transform.

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Known issues:

[The Trainers list for training context is empty]
(#1054)

ML.NET 0.5 makes TensorFlow transform available. We continue to work towards new API. We have also introduced many enhancements and bug fixes. Our sincere gratitude to all the amazing users and contributors.

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ML.NET 0.4 is the first release where we have started an overall work on API for ML.NET. We are working on a much more flexible and extensible API. We have also introduced enhancements including new word-embeddings transform and SymSGD learner. Many thanks to all the amazing help from the contributors and users.

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ML.NET 0.3 introduces many enhancements including Field-Aware Factorization Machines, LightGBM, Ensembles, LightLDA transform, OVA and support for ONNX. Many thanks to our users and contributors for amazing help with filing issues and submitting PRs and engaging on gitter.

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Known issues:

LightGBM doesn't work during F5 of a .NET Core application

ML.NET 0.2 is the second preview release of the package. It addresses many issues and adds a few enhancement including addition of clustering. Thank you for helping shape the package by using its many learners and engaging through submitting issues and pull requests on GitHub.

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ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback! Try training, scoring, and using machine learning models in your app and tell us how it goes.

Release Notes
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