Building workflows with the Durable Task Framework
Build with an Azure free account. Get USD200 credit for 30 days and 12 months of free services.
Start free todayTraining Machine Learning models with ML.NET
Play Training Machine Learning models with ML.NET
Description
ML.NET allows .NET developers to easily build and also consume machine learning models in their NET applications.
In this episode, Bri Achtman joins Rich to show off some really interesting scenarios that ML.NET and its family of tools enables. They talk about training models, AutoML, the ML.NET CLI, and even a Visual Studio Extension for training models!
- [01:40] - What is ML .NET?
- [05:19] - How can I load my data into ML .NET?
- [06:55] - Sentiment analysis model creation demo
- [10:54] - Model training and consumption
- [15:30] - Rich's ML validation test
- [16:37] - Object detection demo
- [18:53] - How are customers using ML .NET?
- [22:21] - Using AutoML and the Model Builder extension for Visual Studio
- [25:06] - Using AutoML with the ML .NET CLI
Useful Links
- ML .NET Homepage
- ML .NET Tutorial
- ML .NET samples on GitHub
- ML .NET Model Builder extension for Visual Studio
Download
More episodes in this series
Docker Desktop Integration with WSL
Related episodes
Leveraging the Dependency Injection support in Azure Functions
Exploring the Visual Studio Test Platform
Machine Learning with ML.NET 1.0 from Build 2019
Building workflows with the Durable Task Framework
Writing tests with MSTest v2
Writing tests with F#
Supporting IAsyncEnumerable with LINQ
Supporting Windows Forms and WPF in .NET Core 3
Updating the WinForms Designer for .NET Core 3.0
A new way to Try .NET
The Discussion
-
JalisRahat scenarios that ML.NET and its family of tools enables. They talk about training models, AutoML, the ML.NET CLI, and even a Visual Studio Extension for training models! -
adi can we use it using vb.net ?
-
Dipti I am using Microsoft SQL 2016 to get the required data for ML and then using binary classification to train model and doing predictions.
I want to how to automate the process to train model biweekly on the new data from microsoft sql 2016,
Is there any pipeline which can be used? Or I need to do this manually generate the zip file and consume at the application end? -
tauheedul -
briacht @adi:
Yes! You can check out some ML.NET VB samples from the community here: https://github.com/Nukepayload2/machinelearning-samples/tree/master/samples/visualbasic -
cesardl @Dipti:
You can directly train an ML.NET model against data in a relational database such as SQL Server.
In the current GA version you can do that through the LoadFromEnumerable() API. you can see an example of it here: https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started/DatabaseIntegration
However, next week (early September) we're going to release an even simpler Relational Database Loader, so this new Database Loader provides a much simpler code implementation for you since the way it reads from the database and makes data available through the IDataView is provided out-of-the-box by the ML.NET framework so you just need to specify your database connection string, what’s the SQL statement for the dataset columns and what’s the data-class to use when loading the data. It is that simple!
Stay tuned and check out this new feature later this week.
And by the way, I'm interested on your SQL Server scenario about "how to automate the database process to train model biweekly". Can you send me an email to cesardl at microsoft.com so we can help you out and you provide feedback as well? :)
-
Dipti Thanks for the update, I sent you an email with the scenario