Uses of Class
com.imsl.datamining.PredictiveModel

Packages that use PredictiveModel

Package	Description
com.imsl.datamining	Data mining and machine learning.
com.imsl.datamining.decisionTree	Decision trees.
com.imsl.datamining.supportvectormachine	Support vector machines.

Uses of PredictiveModel in com.imsl.datamining

Subclasses of PredictiveModel in com.imsl.datamining

Modifier and Type	Class and Description
class	GradientBoosting Performs stochastic gradient boosting for a single response variable and multiple predictor variables.

Methods in com.imsl.datamining that return PredictiveModel

Modifier and Type	Method and Description
abstract PredictiveModel	PredictiveModel.clone() Abstract clone method.

Methods in com.imsl.datamining with parameters of type PredictiveModel

Modifier and Type	Method and Description
protected abstract void	PredictiveModel.setConfiguration(PredictiveModel pm) Sets the configuration of PredictiveModel to that of the input model.

Constructors in com.imsl.datamining with parameters of type PredictiveModel

Constructor and Description
BootstrapAggregation(PredictiveModel pm) Constructs a BootstrapAggregation class in order to generate predictions of a PredictiveModel using bootstrap aggregation.
CrossValidation(PredictiveModel pm) Creates a CrossValidation object.
GradientBoosting(PredictiveModel pm) Constructs a gradient boosting object.
PredictiveModel(PredictiveModel pm) Constructs a PredictiveModel from an existing instance.

Uses of PredictiveModel in com.imsl.datamining.decisionTree

Subclasses of PredictiveModel in com.imsl.datamining.decisionTree

Modifier and Type	Class and Description
class	ALACART Generates a decision tree using the CARTTM method of Breiman, Friedman, Olshen and Stone (1984).
class	C45 Generates a decision tree using the C4.5 algorithm for a categorical response variable and categorical or quantitative predictor variables.
class	CHAID Generates a decision tree using CHAID for categorical or discrete ordered predictor variables.
class	DecisionTree Abstract class for generating a decision tree for a single response variable and one or more predictor variables.
class	DecisionTreeInfoGain Abstract class that extends DecisionTree for classes that use an information gain criteria.
class	QUEST Generates a decision tree using the QUEST algorithm for a categorical response variable and categorical or quantitative predictor variables.
class	RandomTrees Generates predictions using a random forest of decision trees.

Methods in com.imsl.datamining.decisionTree with parameters of type PredictiveModel

Modifier and Type	Method and Description
protected void	RandomTrees.setConfiguration(PredictiveModel pm) Sets the configuration of RandomTrees to that of the input model.
protected void	CHAID.setConfiguration(PredictiveModel pm) Sets the configuration of PredictiveModel to that of the input model.
protected void	ALACART.setConfiguration(PredictiveModel pm)
protected void	DecisionTree.setConfiguration(PredictiveModel pm) Sets the configuration of PredictiveModel to that of the input model.
protected void	QUEST.setConfiguration(PredictiveModel pm) Sets the configuration of PredictiveModel to that of the input model.

Uses of PredictiveModel in com.imsl.datamining.supportvectormachine

Subclasses of PredictiveModel in com.imsl.datamining.supportvectormachine

Modifier and Type	Class and Description
class	SupportVectorMachine Abstract class for generating a support vector machine.
class	SVClassification Specifies a support vector machine for classification (SVC).
class	SVOneClass Specifies a support vector machine for the one class problem.
class	SVRegression Specifies a support vector machine for regression (SVR).

Methods in com.imsl.datamining.supportvectormachine with parameters of type PredictiveModel

Modifier and Type	Method and Description
protected void	SVClassification.setConfiguration(PredictiveModel pm) Sets the configuration to that of the input PredictiveModel.
protected void	SupportVectorMachine.setConfiguration(PredictiveModel pm) Sets the configuration of PredictiveModel to that of the input model.
protected void	SVRegression.setConfiguration(PredictiveModel pm) Sets the configuration to that of the input PredictiveModel.