TD_DecisionForestPredict

This function uses a decision forest model from the TD_DecisionForest function to create predictions on a response variable for a test dataset.

Options

Accumulate: Specifies the names of the input columns to copy to the output table.
Detailed: Specifies whether to output detailed information about the forest trees; that is, the decision tree and the specific tree information, including task index and tree index for each tree. The default value is 'false'.
IDColumn: Specifies a column containing a unique identifier for each test point in the test set.
OutputProb: Specifies whether to output probabilities. The default value is 'false'.
Responses (strings seperated by new line): Specifies responses for which to output probabilitites.
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.