Regression
A PMML regression model predicts the value of a numeric dependent variable from one or more independent variables.
Model Element
<RegressionModel functionName="regression" ...
Unsupported Features
Regression models with a "normalizationMethod" attribute set to the value "simplemax", "probit", "cloglog" or "loglog" are not supported.
Regression models with integer or float target field are not supported unless <Targets> element is specified with appropriate castInteger attribute.
Regression models with the <MiningSchema> element containing a reference to a <DerivedField> element are not supported.
Model Outputs
By default the target field will be available as an output field - this is a synonym for the predictedValue feature. Float target fields will always be cast to integer.
Supported Model Output Features | Description |
---|---|
predictedValue | The numeric dependent variable that we are predicting. |
transformedValue | A value generated via a transformation expression applied to the predicted model output. |
decision | A value generated via an expression applied to the predicted model output resulting in a categorized value. |