Ensemble Methods - Aster Analytics

Teradata Aster Analytics Foundation User Guide

Product
Aster Analytics
Release Number
6.21
Published
November 2016
Language
English (United States)
Last Update
2018-04-14
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kiu1466024880662.ditamap
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dita:id
B700-1021
lifecycle
previous
Product Category
Software
Ensemble Methods Functions
Function Description
Random Forest Functions Create a predictive model based on a combination of the classification and regression trees (CART) algorithm for training decision trees and the ensemble learning method of bagging. The Random Forest functions are Forest_Drive, Forest_Predict, and Forest_Analyze.
Single Decision Tree Functions Create a predictive model that has a single decision tree. The Single Decision Tree functions are Single_Tree_Drive and Single_Tree_Predict.
AdaBoost Functions Create a predictive model based on the AdaBoost algorithm. The AdaBoost functions are AdaBoost_Drive and AdaBoost_Predict.