Uses of Class
com.pervasive.datarush.analytics.regression.AbstractPMMLRegressionModel.NumericPredictor

Packages that use AbstractPMMLRegressionModel.NumericPredictor

Package	Description
com.pervasive.datarush.analytics.regression	Provides utility, PMML and other classes for shared use by regression related entities.

Uses of AbstractPMMLRegressionModel.NumericPredictor in com.pervasive.datarush.analytics.regression

Methods in com.pervasive.datarush.analytics.regression that return AbstractPMMLRegressionModel.NumericPredictor

Modifier and Type	Method	Description
AbstractPMMLRegressionModel.NumericPredictor	PMMLRegressionModel.getNumericPredictor(String indepVarName)	Get the numeric predictor for the given independent variable.

Methods in com.pervasive.datarush.analytics.regression that return types with arguments of type AbstractPMMLRegressionModel.NumericPredictor

Modifier and Type	Method	Description
List<AbstractPMMLRegressionModel.NumericPredictor>	AbstractPMMLRegressionModel.RegressionTable.getNumericPredictors()	Gets the table's predictors that take a numeric value as input.
List<AbstractPMMLRegressionModel.NumericPredictor>	PMMLRegressionModel.getNumericPredictors()	Return the list of numeric predictors for this model.

Methods in com.pervasive.datarush.analytics.regression with parameters of type AbstractPMMLRegressionModel.NumericPredictor

Modifier and Type	Method	Description
void	AbstractPMMLRegressionModel.RegressionTable.addNumericPredictor(AbstractPMMLRegressionModel.NumericPredictor numericPredictor)	Add a term to the model in the form of a NumericPredictor element.
void	PMMLRegressionClassificationModel.addNumericPredictor(String categoryName, AbstractPMMLRegressionModel.NumericPredictor predictor)	Adds a numeric predictor to the sub-model that predicts membership in a given category.
void	PMMLRegressionModel.addNumericPredictor(AbstractPMMLRegressionModel.NumericPredictor numericPredictor)	Add a numeric predictor to the PMML model.