Package com.pervasive.datarush.analytics.regression

Provides utility, PMML and other classes for shared use by regression related entities.

See: Description

Class Summary

Class	Description
AbstractPMMLRegressionModel	A representation of features found in PMML regressionModel elements that do not depend on its attributes.
AbstractPMMLRegressionModel.CategoricalPredictor
AbstractPMMLRegressionModel.NumericPredictor	Capture information about numeric predictor values.
AbstractPMMLRegressionModel.RegressionTable
LinearRegressionLearner	Performs a multivariate linear regression on the given training data.
LogisticRegressionLearner	Fits a multinomial logistic regression model to the training data.
LogisticRegressionPredictor
PMMLRegressionClassificationModel	Implementation of a 'maximum likelihood' classifier on top of regression models.
PMMLRegressionModel	PMML object model for Regression models.
RegressionPredictor	Apply a regression model to the input data.
SumOfSquares	Compute the sum of squares for the given fields of the input data.

Enum Summary

Enum	Description
AbstractPMMLRegressionModel.ModelType	The possible values of the ModelType attribute of a PMML regressionModel.
AbstractPMMLRegressionModel.NormalizationMethod	The normalization methods used.

Package com.pervasive.datarush.analytics.regression Description

Provides utility, PMML and other classes for shared use by regression related entities.