TD_GLMPredict Output - Teradata Vantage

Teradata® VantageCloud Lake
Deployment
VantageCloud
Edition
Lake
Product
Teradata Vantage
Published
January 2023
Language
English (United States)
Last Update
2024-04-03
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Output Table Schema

Column Name Data Type Description
id_column Any Specified column name that uniquely identifies an observation in test table.
partition_by_column CHARACTER, VARCHAR, INTEGER, BIGINT, SMALLINT, BYTEINT [Partition by key only] Unique identifier of model in InputTable.
prediction FLOAT Predicted value of the test observation.
prob FLOAT Probability that the observation belongs to the predicted class. Only appears if the OutputProb element is set to True and the Responses element is not specified.
prob_0 FLOAT Probability that the observation belongs to class 0. Only appears if the Responses element is specified.
prob_1 FLOAT The probability that the observation belongs to class 1. Only appears if the Responses element is specified.
accumulate_column Any Specified column names in the Accumulate element copied to the output table.
error_code VARCHAR Error code shown if the function cannot predict. The codes are as follows:
  • 1: Broken model. The training function fails to generate a model.
  • 2: Missing model. The prediction input table has partition_by_column that does not appear in the training model table.
  • 3: Invalid row. During prediction, the input table has invalid rows. For example, a row may contain NULL value that cannot be processed.
  • 4: Invalid column type. During prediction, the input table has invalid column type. For example, a column may need to be numeric type instead of character varying type.
  • -1: Unknown.