Uses of Class
com.pervasive.datarush.analytics.regression.AbstractPMMLRegressionModel.NumericPredictor
Packages that use AbstractPMMLRegressionModel.NumericPredictor
Package
Description
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.NumericPredictorModifier and TypeMethodDescriptionPMMLRegressionModel.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.NumericPredictorModifier and TypeMethodDescriptionAbstractPMMLRegressionModel.RegressionTable.getNumericPredictors()Gets the table's predictors that take a numeric value as input.PMMLRegressionModel.getNumericPredictors()Return the list of numeric predictors for this model.Methods in com.pervasive.datarush.analytics.regression with parameters of type AbstractPMMLRegressionModel.NumericPredictorModifier and TypeMethodDescriptionvoidAbstractPMMLRegressionModel.RegressionTable.addNumericPredictor(AbstractPMMLRegressionModel.NumericPredictor numericPredictor) Add a term to the model in the form of a NumericPredictor element.voidPMMLRegressionClassificationModel.addNumericPredictor(String categoryName, AbstractPMMLRegressionModel.NumericPredictor predictor) Adds a numeric predictor to the sub-model that predicts membership in a given category.voidPMMLRegressionModel.addNumericPredictor(AbstractPMMLRegressionModel.NumericPredictor numericPredictor) Add a numeric predictor to the PMML model.