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.