Uses of Class
com.pervasive.datarush.analytics.pmml.PMMLModel

Packages that use PMMLModel

Package	Description
com.pervasive.datarush.analytics.arm	Provides common classes for Association Rule Mining (ARM).
com.pervasive.datarush.analytics.cluster	Provides base PMML for clustering models.
com.pervasive.datarush.analytics.decisiontree	Provides PMML model classes for decision trees.
com.pervasive.datarush.analytics.decisiontree.predictor	Provides the decision tree predictor operator and associated classes.
com.pervasive.datarush.analytics.naivebayes	Provides PMML model classes for Naive Bayes.
com.pervasive.datarush.analytics.naivebayes.predictor	Provides an implementation of a Naive Bayes predictor.
com.pervasive.datarush.analytics.pmml	Provides shared and base classes for PMML model representation of Analytics algorithms.
com.pervasive.datarush.analytics.regression	Provides utility, PMML and other classes for shared use by regression related entities.
com.pervasive.datarush.analytics.stats	Provides various statistics, Data Summarizer, and Data Quality Analyzer.
com.pervasive.datarush.analytics.svm	Provides PMML model classes for SVM.
com.pervasive.datarush.analytics.svm.predictor	Provides an implementation of an SVM predictor.
com.pervasive.datarush.analytics.util	Provides some (internal) utility classes for Analytics.

Uses of PMMLModel in com.pervasive.datarush.analytics.arm

Subclasses of PMMLModel in com.pervasive.datarush.analytics.arm

Modifier and Type	Class and Description
class	PMMLAssociationModel Captures the information required to build a PMML Association model.

Uses of PMMLModel in com.pervasive.datarush.analytics.cluster

Subclasses of PMMLModel in com.pervasive.datarush.analytics.cluster

Modifier and Type	Class and Description
class	PMMLClusteringModel PMML clustering model.

Methods in com.pervasive.datarush.analytics.cluster with parameters of type PMMLModel

Modifier and Type	Method and Description
protected void	ClusterPredictor.execute(PMMLModel model, RecordValued input, ScalarSettable[] predictedFields)

Uses of PMMLModel in com.pervasive.datarush.analytics.decisiontree

Subclasses of PMMLModel in com.pervasive.datarush.analytics.decisiontree

Modifier and Type	Class and Description
class	PMMLTreeModel PMML TreeModel.

Uses of PMMLModel in com.pervasive.datarush.analytics.decisiontree.predictor

Methods in com.pervasive.datarush.analytics.decisiontree.predictor with parameters of type PMMLModel

Modifier and Type	Method and Description
protected void	DecisionTreePredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields)

Uses of PMMLModel in com.pervasive.datarush.analytics.naivebayes

Subclasses of PMMLModel in com.pervasive.datarush.analytics.naivebayes

Modifier and Type	Class and Description
class	PMMLNaiveBayesModel PMML Naive Bayes Model.

Uses of PMMLModel in com.pervasive.datarush.analytics.naivebayes.predictor

Methods in com.pervasive.datarush.analytics.naivebayes.predictor with parameters of type PMMLModel

Modifier and Type	Method and Description
protected void	NaiveBayesPredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields)

Uses of PMMLModel in com.pervasive.datarush.analytics.pmml

Subclasses of PMMLModel in com.pervasive.datarush.analytics.pmml

Modifier and Type	Class and Description
class	GenericPMMLModel A pass-through PMML Model.

Fields in com.pervasive.datarush.analytics.pmml with type parameters of type PMMLModel

Modifier and Type	Field and Description
static AbstractModelPortFactory<PMMLModel,PMMLPort>	PMMLPort.FACTORY A factory for PMML ports.

Methods in com.pervasive.datarush.analytics.pmml that return types with arguments of type PMMLModel

Modifier and Type	Method and Description
AbstractModelPortFactory<PMMLModel,PMMLPort>	PMMLPort.getFactory()

Methods in com.pervasive.datarush.analytics.pmml with parameters of type PMMLModel

Modifier and Type	Method and Description
PMMLPort.Metadata	PMMLPort.getMetadata(PMMLModel model)

Constructors in com.pervasive.datarush.analytics.pmml with parameters of type PMMLModel

Constructor and Description
PutPMML(PMMLModel model) Puts a PMMLModel into a graph

Uses of PMMLModel in com.pervasive.datarush.analytics.regression

Subclasses of PMMLModel in com.pervasive.datarush.analytics.regression

Modifier and Type	Class and Description
class	AbstractPMMLRegressionModel A representation of features found in PMML regressionModel elements that do not depend on its attributes.
class	PMMLRegressionClassificationModel Implementation of a 'maximum likelihood' classifier on top of regression models.
class	PMMLRegressionModel PMML object model for Regression models.

Methods in com.pervasive.datarush.analytics.regression with parameters of type PMMLModel

Modifier and Type	Method and Description
protected void	RegressionPredictor.execute(PMMLModel model, RecordValued input, ScalarSettable[] predictedFields)
protected void	LogisticRegressionPredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields)

Uses of PMMLModel in com.pervasive.datarush.analytics.stats

Subclasses of PMMLModel in com.pervasive.datarush.analytics.stats

Modifier and Type	Class and Description
class	PMMLSummaryStatisticsModel PMML ModelStats.

Uses of PMMLModel in com.pervasive.datarush.analytics.svm

Subclasses of PMMLModel in com.pervasive.datarush.analytics.svm

Modifier and Type	Class and Description
class	PMMLSupportVectorMachineModel PMML SupportVectorMachineModel.

Uses of PMMLModel in com.pervasive.datarush.analytics.svm.predictor

Methods in com.pervasive.datarush.analytics.svm.predictor with parameters of type PMMLModel

Modifier and Type	Method and Description
protected void	SVMPredictor.execute(PMMLModel pmml, RecordValued input, ScalarSettable[] predictedFields)

Uses of PMMLModel in com.pervasive.datarush.analytics.util

Methods in com.pervasive.datarush.analytics.util with parameters of type PMMLModel

Modifier and Type	Method and Description
protected abstract void	AbstractPredictor.execute(PMMLModel model, RecordValued input, ScalarSettable[] predictedFields) Called to perform prediction.