Using Booster for prediction | teradataml open-source machine learning functions - Using Booster for prediction - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
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en-US
ft:lastEdition
2025-01-23
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Product Category
Teradata Vantage

teradataml’s Booster Wrapper object is returned by train(), which can be used to predict values on new data. The label argument for predict() is introduced by teradataml for the function to return label column in output DataFrame so that both true values and predicted values are in same teradataml DataFrame. The resultant DataFrame can be used to get some evaluation metrics like accuracy_score using OpensourceML’s scikit-learn metrics functions.