TD_​SVMPredict

This function predicts target values (regression) and class labels (classification) for test data using an SVM model trained by TD_SVM

Options

Accumulate
Specify the names of the input table columns that need to be copied from the input test table to output.
IDColumn
Specify the name of the column that uniquely identifies an observation in the test table.
OutputProb
Specify whether the function should output the probability for each response. Only applicable if ModelType is CLASSIFICATION.
Responses (strings seperated by new line)
Specify the class labels to output probabilities. Only applicable if OutputProb is true. A label must be 0 or 1. If not specified, the function outputs the probability of the predicted response.
Output Schema
Output Schema, if Volatile is true then use user login as the schema.
Output Table
Output Table
VAL Location
VAL Location
Volatile
Specifies whether the table should be a VOLATILE table. If true, then the table is automatically deleted, otherwise it is users responsibility to remove or clean it up for space.

Input Ports

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Connection to a Teradata Database Instance
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Specifies the table containing the input data.
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Specifies the table containing the model data.

Output Ports

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output of TD_SVMPredict

Nodes

Extensions

Links