Cross Cutting Scenarios
Scalable Model on WebAPI C#	Scalable Model on Razor web app C#	Scalable Model on Azure Functions C#
Scalable Model on Blazor web app C#	Large Datasets C#	Loading data with DatabaseLoader C#
Loading data with LoadFromEnumerable C#	Model Explainability C#	Export to ONNX C#

Automate ML.NET models generation (Preview state)

The previous samples show you how to use the ML.NET API 1.0 (GA since May 2019).

However, we're also working on simplifying ML.NET usage with additional technologies that automate the creation of the model for you so you don't need to write the code by yourself to train a model, you simply need to provide your datasets. The "best" model and the code for running it will be generated for you.

These additional technologies for automating model generation are in PREVIEW state and currently only support Binary-Classification, Multiclass Classification and Regression. In upcoming versions we'll be supporting additional ML Tasks such as Recommendations, Anomaly Detection, Clustering, etc..

CLI samples: (Preview state)

The ML.NET CLI (command-line interface) is a tool you can run on any command-prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. In addition, it also generates sample C# code to run/score that model plus the C# code that was used to create/train it so you can research what algorithm and settings it is using.

AutoML API samples: (Preview state)

ML.NET AutoML API is basically a set of libraries packaged as a NuGet package you can use from your .NET code. AutoML eliminates the task of selecting different algorithms, hyperparameters. AutoML will intelligently generate many combinations of algorithms and hyperparameters and will find high quality models for you.

Additional ML.NET Community Samples

In addition to the ML.NET samples provided by Microsoft, we're also highlighting samples created by the community showcased in this separated page: ML.NET Community Samples

Those Community Samples are not maintained by Microsoft but by their owners. If you have created any cool ML.NET sample, please, add its info into this REQUEST issue and we'll publish its information in the mentioned page, eventually.

Translations of Samples:

• Chinese Simplified

Learn more

See ML.NET Guide for detailed information on tutorials, ML basics, etc.

API reference

Check out the ML.NET API Reference to see the breadth of APIs available.

Contributing

We welcome contributions! Please review our contribution guide.

Community

Please join our community on Gitter

This project has adopted the code of conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information, see the .NET Foundation Code of Conduct.

License

ML.NET Samples are licensed under the MIT license.