Description
Why Examples?
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
What should we do?
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
1. First Touch with ML.NET:
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
2. ML.NET usage:
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
3. End-End samples
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
real world sample app will look like with ML.NET
Thoughts?