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

Packages that use PMMLPort

Package	Description
com.pervasive.datarush.analytics.arm	Provides common classes for Association Rule Mining (ARM).
com.pervasive.datarush.analytics.arm.fpgrowth	Provides the operator to perform the FP-growth ARM algorithm.
com.pervasive.datarush.analytics.cleansing	Provides operators related to data cleansing.
com.pervasive.datarush.analytics.cluster.kmeans	Provides the KMeans algorithm.
com.pervasive.datarush.analytics.decisiontree.learner	Provides the PMML learner operator and associated classes.
com.pervasive.datarush.analytics.decisiontree.pruner	Provides the decision tree pruner operator and associated classes.
com.pervasive.datarush.analytics.naivebayes.learner	Provides an implementation of the Naive Bayes learner.
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.learner	Provides an implementation of an SVM learner.
com.pervasive.datarush.analytics.util	Provides some (internal) utility classes for Analytics.

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

Methods in com.pervasive.datarush.analytics.arm that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	ConvertARMModel.getInput()	Get the input port that will receive the PMML model.
PMMLPort	FrequentItems.getModel()	Get the output PMML model port of this plan operator.

Uses of PMMLPort in com.pervasive.datarush.analytics.arm.fpgrowth

Methods in com.pervasive.datarush.analytics.arm.fpgrowth that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	FPGrowth.getModel()	Get the output port containing the generated PMML-based association model.

Uses of PMMLPort in com.pervasive.datarush.analytics.cleansing

Methods in com.pervasive.datarush.analytics.cleansing that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	ReplaceMissingValues.getModel()	Returns a port that will output a PMMLSummaryStatisticsModel.
PMMLPort	ReplaceMissingValues.getStatisticsInput()	Gets the optional model port providing statistics for replace specifications based on column statistics.

Uses of PMMLPort in com.pervasive.datarush.analytics.cluster.kmeans

Methods in com.pervasive.datarush.analytics.cluster.kmeans that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	KMeans.getModel()	Returns the model port.

Uses of PMMLPort in com.pervasive.datarush.analytics.decisiontree.learner

Methods in com.pervasive.datarush.analytics.decisiontree.learner that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	DecisionTreeLearner.getModel()	Returns the output port that will output the model that is built from the training data.

Uses of PMMLPort in com.pervasive.datarush.analytics.decisiontree.pruner

Methods in com.pervasive.datarush.analytics.decisiontree.pruner that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	DecisionTreePruner.getInput()	Returns the input port.
PMMLPort	DecisionTreePruner.getOutput()	Returns the output port.

Uses of PMMLPort in com.pervasive.datarush.analytics.naivebayes.learner

Methods in com.pervasive.datarush.analytics.naivebayes.learner that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	NaiveBayesLearner.getModel()	Returns the output PMML model port.

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

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

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

Methods in com.pervasive.datarush.analytics.pmml that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	WritePMML.getModel()	The port containing the PMML model instance
PMMLPort	ReadPMML.getOutput()	Returns the output port that will contain the PMML model that is read from the file.

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

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

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

Methods in com.pervasive.datarush.analytics.regression that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	LogisticRegressionLearner.getModelOutput()
PMMLPort	LinearRegressionLearner.getOutput()	Get the output port of this operator.

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

Methods in com.pervasive.datarush.analytics.stats that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	DataQualityAnalyzer.getModel()	Returns a port that will output a PMMLSummaryStatisticsModel.
PMMLPort	NormalizeValues.getModelInput()	Get the optional input port used to read the PMML model containing field statistics needed by normalization methods.
PMMLPort	SummaryStatistics.getOutput()	Returns an output port that will produce a PMMLSummaryStatisticsModel.

Uses of PMMLPort in com.pervasive.datarush.analytics.svm.learner

Methods in com.pervasive.datarush.analytics.svm.learner that return PMMLPort

Modifier and Type	Method	Description
PMMLPort	SVMLearner.getModel()	Returns a dataflow variable that will contain the PMML model.

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

Methods in com.pervasive.datarush.analytics.util that return PMMLPort

Modifier and Type	Method	Description
final PMMLPort	AbstractPredictor.getModel()	The input for supplying the PMML model