1.0 - 8.00 - XGBoostPredict Arguments - Teradata Vantage

Teradata® Vantage Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.0
8.00
Release Date
May 2019
Content Type
Programming Reference
Publication ID
B700-4003-098K
Language
English (United States)
IDColumn
[Optional] Specify the name of the input table column that contains a unique identifier for each data point in the input data set.
AttributeNameColumn
[Required for sparse format input data.] Specify the name of the input table column that contains the names of the predictors in the sparse format input data set.
AttributeValueColumn
[Required for sparse format input data.] Specify the name of the input table column that contains the values of the predictors in the sparse-format input data set.
NumBoostedTrees
[Optional] Specify the number of parallel boosted trees to consider during prediction. The num_trees is an INTEGER value of at least 1 and cannot exceed the number of parallel boosted trees in the training model. A lower num_trees value might improve function run time but decrease prediction accuracy.
Default behavior: The function considers all trees in the training model during prediction.
IterNum
[Optional] Specify the number of iterations for each boosted tree to consider during prediction. The iterations must be at least 1 and cannot exceed the number of parallel boosted trees in the training model.
Default behavior: The function considers all subtrees (iterations) in the training model during prediction.
Accumulate
[Optional] Specify the names of the input columns to copy to the output table.