Uses of Class
com.rapidminer.operator.learner.PredictionModel

Packages that use PredictionModel

com.rapidminer.operator.learner	Provides learning operators.
com.rapidminer.operator.learner.bayes	This package contains classes and operators for Naive Bayes learning.
com.rapidminer.operator.learner.functions	This package contains learners based on the concept of function approximation.
com.rapidminer.operator.learner.functions.kernel	Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines.
com.rapidminer.operator.learner.functions.kernel.evosvm	Implementations of SVMs which makes use of general purpose optimization methods, e.g. evolutionary strategies or particle swarm optimization.
com.rapidminer.operator.learner.functions.kernel.hyperhyper	This package contains classes for the HyperHyper learner.
com.rapidminer.operator.learner.functions.neuralnet	This package contains a neural net learner based on Joone.
com.rapidminer.operator.learner.igss	Provides classes for learning operator Iterating Generic Sequential Sampling.
com.rapidminer.operator.learner.igss.hypothesis	Provides the hypothesis classes for learning operator Iterating Generic Sequential Sampling.
com.rapidminer.operator.learner.lazy	Learning schemes which perform lazy learning.
com.rapidminer.operator.learner.local
com.rapidminer.operator.learner.meta	Meta learning schemes which uses other learning operators to increase the performance.
com.rapidminer.operator.learner.rules	Provides rule learners.
com.rapidminer.operator.learner.subgroups	Provides the major classes of a subgroup discovery algorithm.
com.rapidminer.operator.learner.tree	Provides decision tree learners.
com.rapidminer.operator.ports.metadata
com.rapidminer.operator.postprocessing	Operators for post processing, usually used for models.

Uses of PredictionModel in com.rapidminer.operator.learner

Subclasses of PredictionModel in com.rapidminer.operator.learner

class	SimpleBinaryPredictionModel A model that can be applied to an example set by applying it to each example separately.
class	SimplePredictionModel A model that can be applied to an example set by applying it to each example separately.
class	UpdateablePredictionModel This is an abstract class for all updateable prediction models.

Methods in com.rapidminer.operator.learner that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>

AbstractLearner.getModelClass() This method might be overridden from subclasses in order to specify exactly which model class they use.

Uses of PredictionModel in com.rapidminer.operator.learner.bayes

Subclasses of PredictionModel in com.rapidminer.operator.learner.bayes

class	DiscriminantModel This is the model for discriminant analysis based learning schemes.
class	DistributionModel DistributionModel is a model for learners which estimate distributions of attribute values from example sets like NaiveBayes.
class	KernelDistributionModel KernelDistributionModel is a model for learners which estimate distributions of attribute values from example sets like NaiveBayes.
class	SimpleDistributionModel DistributionModel is a model for learners which estimate distributions of attribute values from example sets like NaiveBayes.

Methods in com.rapidminer.operator.learner.bayes that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>	NaiveBayes.getModelClass()
java.lang.Class<? extends PredictionModel>	LinearDiscriminantAnalysis.getModelClass()
java.lang.Class<? extends PredictionModel>	KernelNaiveBayes.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.functions

Subclasses of PredictionModel in com.rapidminer.operator.learner.functions

class	FastMarginModel This is the model of the fast margin learner which learns a linear SVM in linear time.
class	HyperplaneModel This model is a separating hyperplane for two classes.
class	LinearRegressionModel The model for linear regression.
class	LogisticRegressionModel The model determined by the LogisticRegression operator.
class	PolynomialRegressionModel The model for the polynomial regression.
class	SeeminglyUnrelatedRegressionModel This is the model of a SUR regression.
class	VectorRegressionModel The model for vector linear regression.

Methods in com.rapidminer.operator.learner.functions that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>	VectorLinearRegression.getModelClass()
java.lang.Class<? extends PredictionModel>	PolynomialRegression.getModelClass()
java.lang.Class<? extends PredictionModel>	Perceptron.getModelClass()
java.lang.Class<? extends PredictionModel>	LogisticRegression.getModelClass()
java.lang.Class<? extends PredictionModel>	LinearRegression.getModelClass()
java.lang.Class<? extends PredictionModel>	FastLargeMargin.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.functions.kernel

Subclasses of PredictionModel in com.rapidminer.operator.learner.functions.kernel

class	AbstractMySVMModel The abstract superclass for the SVM models by Stefan Rueping.
class	GPModel A model learned by the GPLearner.
class	JMySVMModel The implementation for the mySVM model (Java version) by Stefan Rueping.
class	KernelLogisticRegressionModel The model determined by the KernelLogisticRegression operator.
class	KernelModel This is the abstract model class for all kernel models.
class	LibSVMModel A model generated by the libsvm by Chih-Chung Chang and Chih-Jen Lin.
class	LinearMySVMModel The abstract superclass for the SVM models by Stefan Rueping.
class	MyKLRModel The model for the MyKLR learner by Stefan Rueping.
class	RVMModel A model generated by the RVMLearner.

Methods in com.rapidminer.operator.learner.functions.kernel that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>

AbstractKernelBasedLearner.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.functions.kernel.evosvm

Subclasses of PredictionModel in com.rapidminer.operator.learner.functions.kernel.evosvm

class

EvoSVMModel The model for the evolutionary SVM.

Uses of PredictionModel in com.rapidminer.operator.learner.functions.kernel.hyperhyper

Subclasses of PredictionModel in com.rapidminer.operator.learner.functions.kernel.hyperhyper

class

HyperModel The model for the HyperHyper implementation.

Methods in com.rapidminer.operator.learner.functions.kernel.hyperhyper that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>

HyperHyper.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.functions.neuralnet

Subclasses of PredictionModel in com.rapidminer.operator.learner.functions.neuralnet

class	ImprovedNeuralNetModel The model of the improved neural net.
class	NeuralNetModel This is the model for the neural net learner.
class	SimpleNeuralNetModel This is the model for the simple neural net learner.

Methods in com.rapidminer.operator.learner.functions.neuralnet that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>	SimpleNeuralNetLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	NeuralNetLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	ImprovedNeuralNetLearner.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.igss

Methods in com.rapidminer.operator.learner.igss that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>

IteratingGSS.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.igss.hypothesis

Subclasses of PredictionModel in com.rapidminer.operator.learner.igss.hypothesis

class

GSSModel Wrapper class for rules found by the Iterating GSS algorithm.

Uses of PredictionModel in com.rapidminer.operator.learner.lazy

Subclasses of PredictionModel in com.rapidminer.operator.learner.lazy

class	AttributeBasedVotingModel Average model simply calculates the average of the attributes as prediction.
class	AttributeDefaultModel This variant of the DefaultModel sets the prediction according to another attribute given during learn time.
class	DefaultModel The default model sets the prediction of all examples to the mode value in case of nominal labels and to the average value in case of numerical labels.
class	KNNClassificationModel An implementation of a knn model.
class	KNNRegressionModel An implementation of a knn model used for regression

Methods in com.rapidminer.operator.learner.lazy that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>	KNNLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	DefaultLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	AttributeBasedVotingLearner.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.local

Subclasses of PredictionModel in com.rapidminer.operator.learner.local

class

LocalPolynomialRegressionModel

Uses of PredictionModel in com.rapidminer.operator.learner.meta

Subclasses of PredictionModel in com.rapidminer.operator.learner.meta

class	AdaBoostModel A model for the RapidMiner AdaBoost implementation.
class	AdditiveRegressionModel The model created by an AdditiveRegression meta learner.
class	BaggingModel The model for the internal Bagging implementation.
class	BayBoostModel A model for the Bayesian Boosting algorithm by Martin Scholz.
class	Binary2MultiClassModel This operator uses an inner learning scheme which is able to perform predictions for binary or binominal classification problems and learns a set of these binary models in order to use this set for a given data set with more than two classes.
class	HierarchicalModel Deprecated.
class	HierarchicalMultiClassModel This model of the hierarchical learner.
class	MetaCostModel This class is associated to the MetaCost operator and supports the evaluation procedures of the MetaCost method.
class	MultiModelByRegression MultiModels are used for multi class learning tasks.
class	RelativeRegressionModel The model for the relative regression meta learner.
class	SDEnsemble A subgroup discovery model.
class	SimpleVoteModel A simple vote model.
class	StackingModel This class is the model build by the Stacking operator.
class	ThresholdModel This model is created by the CostBasedThresholdLearner.
class	TransformedRegressionModel Model for TransformedRegression.

Uses of PredictionModel in com.rapidminer.operator.learner.rules

Subclasses of PredictionModel in com.rapidminer.operator.learner.rules

class	ConjunctiveRuleModel Each object of this class represents a conjunctive rule with boolean target and nominal attributes.
class	RuleModel The basic rule model.

Methods in com.rapidminer.operator.learner.rules that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>	SingleRuleLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	SimpleRuleLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	RuleLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	BestRuleInduction.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.subgroups

Subclasses of PredictionModel in com.rapidminer.operator.learner.subgroups

class

RuleSet A model consisting of rules which are scored by utility values.

Methods in com.rapidminer.operator.learner.subgroups that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>

SubgroupDiscovery.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.learner.tree

Subclasses of PredictionModel in com.rapidminer.operator.learner.tree

static class	MultiCriterionDecisionStumps.DecisionStumpModel
class	RandomForestModel This model simply extends the SimpleVoteModel to avoid naming problems.
class	TreeModel The tree model is the model created by all decision trees.

Methods in com.rapidminer.operator.learner.tree that return types with arguments of type PredictionModel

java.lang.Class<? extends PredictionModel>	RandomForestLearner.getModelClass()
java.lang.Class<? extends PredictionModel>	MultiCriterionDecisionStumps.getModelClass()
java.lang.Class<? extends PredictionModel>	AbstractTreeLearner.getModelClass()

Uses of PredictionModel in com.rapidminer.operator.ports.metadata

Constructor parameters in com.rapidminer.operator.ports.metadata with type arguments of type PredictionModel

GeneratePredictionModelTransformationRule(InputPort exampleSetInput, OutputPort outputPort, java.lang.Class<? extends PredictionModel> modelClass)

PredictionModelMetaData(java.lang.Class<? extends PredictionModel> modelClass)

PredictionModelMetaData(java.lang.Class<? extends PredictionModel> modelClass, ExampleSetMetaData trainingSetMetaData)

Uses of PredictionModel in com.rapidminer.operator.postprocessing

Subclasses of PredictionModel in com.rapidminer.operator.postprocessing

class

PlattScalingModel A model that contains a boolean classifier and a scaling operation that turns confidence scores into probability estimates.