Configuring an AutoML Experiments
Explore how to configure AutoML experiments using ML.NET to build flexible machine learning pipelines. Learn to modify input columns, define model search spaces, exclude specific algorithms, and select hyperparameter tuning strategies to optimize model training effectively.
The AutoML library in ML.NET gives us the flexibility of applying advanced configuration to pipelines and overriding default behavior. This is what we'll look at in this lesson. ...