Examples | AutoML in teradataml - AutoML Examples - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment: VantageCloud; VantageCore
Edition: VMware; Enterprise; IntelliFlex
Product: Teradata Package for Python
Release Number: 20.00
Published: March 2025
ft:locale: en-US
ft:lastEdition: 2026-02-20
dita:mapPath: nvi1706202040305.ditamap
dita:ditavalPath: plt1683835213376.ditaval
dita:id: rkb1531260709148
Product Category: Teradata Vantage

Example 1: Run AutoML for Regression Problem with Early Stopping Timer and Metrics Threshold
Example 2: Run AutoRegressor for Regression Problem with Early Stopping Condition and Customization
Example 3: Run AutoClassifier for Classification Problem using Early Stopping Timer
Example 4: Run AutoML for classification problem using early stopping timer, max_models and customization
Example 5: Run AutoML for multiclass classification problem using early stopping timer and max_models
Example 6: Run AutoClassifier for Multiclass Classification Problem using Early Stopping Timer
Example 7: Run Trained AutoML Models across Multiple Sessions using deploy and load APIs
Example 8: Run AutoFraud for fraud detection problem with early stopping timer and metrics threshold
Example 9: Run AutoChurn for churn prediction problem with early stopping timer and metrics threshold
Example 10: Run AutoML for clustering with early stopping timer
Example 11: Run AutoClassifier with specified id column alongside lasso feature selection