1.0 - 8.00 - AdaBoost 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)
OutputTable
Specify the name of the output table where the function stores the predictive model it creates.
AttributeNameColumns
Specify the names of attribute table columns that contain the data attributes.
AttributeValueColumns
Specify the names of attribute table columns that contain the data values.
IDColumns
Specify the names of the columns in the response and attribute tables that specify the identifier of the instance.
ResponseColumn
Specify the name of the response table column that contains the responses (labels) of the data.
IterNum
[Optional] Specify the number of iterations to boost the weak classifiers, which is also the number of weak classifiers in the ensemble (T). The iterations must be an INTEGER in the range [2,  200].
Default: 20
NumSplits
[Optional] Specify the number of splits to try for each attribute in the node splitting. The splits must be an INTEGER.
Default: 10
ApproxSplits
[Optional] Specify whether to use approximate percentiles.
With approximate percentiles, the function is nondeterministic; without them, it is deterministic. For more information, see Nondeterministic Results.
Default: 'true' (nondeterministic)
SplitMeasure
[Optional] Specify the type of measure to use in node splitting.
Default: 'gini'
MaxDepth
[Optional] Specify the depth of each weak classifier. The max_depth must be an INTEGER in the range [1, 10].
Default: 3
MaxDepth does not control the depth of the final tree, as MaxDepth in DecisionTree does.
MinNodeSize
[Optional] Specify the minimum size of any node within each decision tree. The min_node_size must be an INTEGER.
Default: 100
OutputResponseProbDist
[Optional] Specify whether to output the probability distributions for each node.
Specify 'true' to use the OutputResponseProbDist argument of the AdaBoostPredict function.
Default: 'false'