Closed
Description
As laid out in #2498 , we need scenarios to cover the Model Files functionality we want fully supported in V1.
Definitely need for V1
- I can train a model and save it as a file. This model includes the learner as well as the transforms
- I can use a model file in a completely different process to make predictions
- I can easily figure out which NuGets (and versions) I need to score an ML.NET model
- I can export ML.NET models to ONNX (limited to the existing internal functionality)
May not need for now:
- I can save a model to text
- I can use newer versions of ML.NET with ML.NET model files of previous versions (for v1.x)
- I can use model files interchangeably between compatible versions of ML.NET and NimbusML
- I can move data between NimbusML and ML.NET (using IDV). Prepare with NimbusML and load with ML.NET