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)

The function outputs a message (to the screen) and a model table.

XGBoost_Drive Output Message Schema
Column Name Data Type Description
message VARCHAR Reports the parameter values used to train the model.
XGBoost_Drive Model Table Schema
Column Name Data Type Description
tree_id INTEGER Identifier of the boosted tree. The number of unique tree_id values depends on the NumBoostedTrees argument value and the number of vworkers.
iter INTEGER Iteration (boosting round) number.
class_num INTEGER Index of the class column to be predicted.

For LossFunction('softmax'), the default, the number of unique class_num values is the number of class labels in the data set. For K class labels, the class_num values are the integers in the range [0, K-1].

For LossFunction('binomial'), there is only one class_num value.

tree VARCHAR JSON representation of the decision tree. One row contains metadata about the model.

For JSON types that can appear in the tree representation, see the Forest_Drive function Output.

region_prediction VARCHAR JSON representation of the predicted values assigned to each region (leaf) of the tree.