XGBoost_Predict Arguments - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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B700-1022
lifecycle
previous
Product Category
Software
IDColumn
[Optional] Specifies the name of the input_table column that contains a unique identifier for each data point in the test data set.
NumBoostedTrees
[Optional] Specifies 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. Default behavior: The function considers all trees in the training model during prediction. A lower num_trees value might improve function run time but decrease prediction accuracy.
IterNum
[Optional] Specifies 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] Specifies the names of the input columns to copy to the output table.