Using Teradataml Widgets with AutoML | teradatamlwidgets - Using Teradataml Widgets with AutoML - Teradata VantageCloud Lake

Automated Machine Learning (AutoML) represents a method for streamlining the entire process of machine learning pipeline in automated way. It encompasses various distinct phases of the machine learning pipeline, including feature exploration, features engineering, data preparation, model selection, model training with hyperparameters tuning, and model evaluation. More details about the AutoML functionality can be found at AutoML in teradataml.

This section provides the constructor and methods used with AutoML to use teradatamlwidgets.

• auto_ml.Ui
• AutoML Methods
• Set up AutoML teradataml Widgets
• Example: How to Use AutoML with Teradataml Widgets