You can train classic machine learning models like classification and regression as well as decision trees and more, or you can use pre-trained deep neural networks (Tensorflow, ONNX)
I'm guessing you're from microsoft. The message that you seem to be getting here is that when people first see ML.NET they think Tensorflow, including being able to train it. They take a look around your examples looking for training examples and don't find them, and are then annoyed that this was not stated up front.
It does not lower the value of ML.NET to clearly state that it does not allow building and training tensorflow models, it actually prevents annoyance at having to dig around and figure it out from lack of examples. It should be stated in the readme.md before the installation section.
I'll add that there is very little point in coming onto HN and looking for the community's feedback if you're going to ignore it.
That's fair and it's a good idea. I'll make sure we update the docs to be more clear. Ml.net does enable retraining TF models too so will make sure we publish examples too
It does not lower the value of ML.NET to clearly state that it does not allow building and training tensorflow models, it actually prevents annoyance at having to dig around and figure it out from lack of examples. It should be stated in the readme.md before the installation section.
I'll add that there is very little point in coming onto HN and looking for the community's feedback if you're going to ignore it.