7.00.02 - Output - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)

If you omit the regularization table, or specify the regularization table but omit the Lambda argument, the output table has the following schema.

GLM2Predict Ouput Table Schema
Column Data Type Description
accumulate_column Same as in input_table Column copied from input_table.
prediction DOUBLE PRECISION Score of the input data, given by the equation g-1(Xβ), where g-1 is the inverse link function, X the predictors, and β is the vector of coefficients estimated by the GLM2 function.

For other values of Family, the scores are the expected values of dependent/response variable, conditional on the predictors.

lambda DOUBLE PRECISION Lambda value used for prediction.

If you omit both the regularization table and Lambda argument, this value is the minLambda value from the model table.

If you specify both the regularization table and the Lambda argument, the output table has the following schema.

GLM2Predict Ouput Table Schema (Regularization Table and Lambda Argument Specified)
Column Data Type Description
accumulate_column Same as in input_table Column copied from input_table.
prediction DOUBLE PRECISION Score of the input data, given by the equation g-1(Xβ), where g-1 is the inverse link function, X the predictors, and β is the vector of coefficients estimated by the GLM2 function.

For other values of Family, the scores are the expected values of dependent/response variable, conditional on the predictors.

reqlambda DOUBLE PRECISION Lambda value that you specified.
matchedlambda DOUBLE PRECISION Lambda value used for prediction.