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	Description
class	GradientBoosting	Performs stochastic gradient boosting for a single response variable and multiple predictor variables.
class	LogisticRegression	Performs binomial or multinomial logistic regression.

Methods in com.imsl.datamining that return PredictiveModel

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

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

Modifier and Type	Method	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

Modifier	Constructor	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 GradientBoosting object.
protected	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	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	Description
protected final void	ALACART.setConfiguration(PredictiveModel pm)
protected final void	CHAID.setConfiguration(PredictiveModel pm)	Sets the configuration of PredictiveModel to that of the input model.
protected void	DecisionTree.setConfiguration(PredictiveModel pm)	Sets the configuration of PredictiveModel to that of the input model.
protected final void	QUEST.setConfiguration(PredictiveModel pm)	Sets the configuration of PredictiveModel to that of the input model.
protected void	RandomTrees.setConfiguration(PredictiveModel pm)	Sets the configuration of RandomTrees 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	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	Description
protected void	SupportVectorMachine.setConfiguration(PredictiveModel pm)	Sets the configuration of PredictiveModel to that of the input model.
protected final void	SVClassification.setConfiguration(PredictiveModel pm)	Sets the configuration to that of the input PredictiveModel.
protected final void	SVRegression.setConfiguration(PredictiveModel pm)	Sets the configuration to that of the input PredictiveModel.