5.4.5 - Overview of Variable Transformation - Teradata Warehouse Miner

In-Database Analytic Functions User Guide

Teradata Warehouse Miner
February 2018
User Guide

The Variable Transformation analysis reads a single table or view and produces a Select, Create Table, or Create View statement containing transformed columns. This is useful when preparing data for input to an analytic algorithm. For example, a K-Means clustering algorithm typically produces better results when the input columns are first converted to their Z-Score values to put all input variables on an equal footing, regardless of their magnitude. Miner uses a series of dialogs to collect parameter information, the SQL for the requested transformations is generated, and the SQL is executed. In the in-database version of Variable Transformation, which is independent of other applications, you define the desired transformations in an externally stored procedure call statement. Transformations can be performed without the need of the Miner provided that the external stored procedure (td_analyze) is installed and the necessary permissions granted.