|InputTable||Columns contain data to score.
InputTable typically has same schema as data used to train model.
It must have all columns that model requires (and may have additional columns). Columns that model requires must have same names in InputTable (case-insensitive) and compatible data types (see following table), but can be in different order.
|ModelTable||Represents one or more models to use for scoring. Has one row for each model.
One PMMLPredict function call can score only one model. If ModelTable has multiple models, specify model_id of model to score in WHERE clause.
|ModelTable Column Data Type||InputTable Column Data Type|
DECIMAL or NUMERIC
FLOAT, REAL, or DOUBLE PRECISION
This column must appear in PRIMARY INDEX clause of CREATE SET TABLE statement.
ModelTable has one row for each model.