These analytic functions are new to this release:
- TD_GLMPerSegment: Trains a whole data set by partitioning, and creates a single model for each partition.
- TD_GLMPredictPerSegment: Predicts target value (regression) and class label (classification) for test data using a corresponding GLM model trained using TD_GLMPerSegment.
- TD_TargetEncodingFit: Generates hyperparameters for use by TD_TargetEncodingTransform.
- TD_TargetEncodingTransform: Uses the hyperparameters generated by TD_TargetEncodingFit to encode categorical values.
See Teradata Vantage™ - Analytics Database Analytic Functions.