Machine Learning.Net has a new release. In this version 0.3, there are several very interesting features. Cesar De la Torre explains in a very detailed way all these new features (see references). I’ve had some extra time these days and I’ve been trying something that I find very interesting
Export Machine Learning.Net models to #ONNX format
As always the best thing describe this it with a couple of lines of code
- Up to Line 28, the Console APP creates a pipeline, and trains it to have a ML.Net model.
- In the following lines, using a OnnxConverter, I export the model to ONNX.
The documentation of OnnxConverter and examples of ML.Net detail more complex scenarios where for example you define which columns are included or excluded. If we open the file Onnx, it’s interesting to see how a simple pipeline is represented as this example
Saludos @ Toronto
- Loading Data In our Learning Pipeline With List (Lists for ever!)
- What’s new in version 0.2.0
- What’s a Machine Learning model? A 7 minute video as the best possible explanation
- Write and Load models using Machine Learning .Net
- Understanding the step by step of Hello World
- Hello World in ML.Net, Machine Learning for .Net !