It seems that in the 95% of the functionality in RC is going to be a part of the stable 1.0 version. Nevertheless, some of the packages will remain in the review even after release.
These packages are:
- TensorFlow components
- Onnx components
- TimeSeries components
- Recommendadtions components
In this release (ML.NET 1.0 RC) Microsoft has initially concluded main API changes and for the next sprint, they are planning to focusing on documentation and samples improvements and also addressing major critical issues if needed.
I want to believe that their goal is to avoid any new breaking changes moving forward. And it all good news for those, who wanted to start use machine learning without changing their favorite language. Based on the list of changes now is a good time to start learning and preparing integrations.
Also in RC release were fixed problems with the use of TensorFlow models, that were introduced in version 0.11. You can check out additional release notes for 1.0 RC here.
You can find a list of other breaking changes here.
Get ready for ML.NET 1.0 before it releases! Next resources will be useful for going further:
- Tutorials and resources at the Microsoft Docs ML.NET Guide
- Sample apps using ML.NET at the machine learning-samples GitHub repo. And also you can check my GitHub repo with example of ML.NET usage.
- Important ML.NET concepts for understanding the new API are introduced here
- “How to” guides that show how to use these APIs for a variety of scenarios can be found here and in my blog post "Classify BBC news headlines with Microsoft ML.NET"
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"Thanks for the update! Exciting to see ML.NET 1.0 RC released — it’s a big step for .NET developers who want to integrate machine learning into their apps without switching ecosystems. Looking forward to trying out the new features!"
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