TD_XGBoostPredict

This function uses a xgboost model from the td_xgboost function to create predictions on a response variable for a test set

Options

Accumulate: Specifies the names of the input columns to copy to the output table.
IdColumn: Specifies a column containing a unique identifier for each test point in the test set
IterNum: Specify number of iterations within a boosted trees to be loaded from model table
ModelType: Specify one of the following methods, precisely to change the output shcema of predictions for classification
NumBoostedTrees: Specify number of boosted trees to be loaded from model table
OutputProb: Specifies whether to output probabilities.
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.