1.0 - 8.00 - IDWT2D Arguments - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Teradata Vantage
Release Number
Release Date
May 2019
Content Type
Programming Reference
Publication ID
English (United States)
Specify the name for the table that the function creates to store the reconstructed result. This table must not exist.
Specify the names of the columns in the input table or view that contain the data to transform. These columns must contain numeric values between -1e308 and 1e308. The function treats NULL as 0.
Specify the name of the input column that represents the order of coefficients in each sequence (the waveletid column in the DWT2D output table). The column must contain a sequence of integer values that start from 1 for each sequence. If a value is missing from the sequence, the function treats the corresponding data column as 0.
[Optional] Specify the names of the partition columns, which identify the sequences. Rows with the same partition column values belong to the same sequence. If you specify multiple partition columns, the function treats the first one as the distribute key of the output and meta tables.
Default behavior: All rows belong to one sequence, and the function creates a distribute key column named dwt_idrandom_name in both the output table and the meta table. In both tables, every cell of dwt_idrandom_name has the value 1.
[Optional] Specify whether to ignore (not output) rows in which all coefficient values have an absolute value less than 1e-12). For a sparse input matrix, ignoring such rows reduces the output table size.
Default: 'true'