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

Packages that use PMMLModelSpec

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 PMMLModelSpec in com.pervasive.datarush.analytics.arm

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

Modifier and Type	Method	Description
static PMMLModelSpec	MetadataHelper.createPMMLSpec(RecordTokenType inputType, String txnFieldName, String itemFieldName)	Build the PMML model specification for an ARM model given the transaction field and item field names.

Constructors in com.pervasive.datarush.analytics.arm with parameters of type PMMLModelSpec

Constructor	Description
PMMLAssociationModel(PMMLModelSpec spec)	Construct a PMMLAssociationObject from the given specification.

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

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

Modifier and Type	Method	Description
static PMMLClusteringModel.Builder	PMMLClusteringModel.builder(PMMLModelSpec spec, ModelClass modelClass, ComparisonMeasure comparisonMeasure, Cluster[] clusters)	Creates a builder that builds PMMLClusteringModel instances with the provided model specification, model class, comparison measure and clusters.
protected RecordTokenType	ClusterPredictor.predictedType(PMMLModelSpec modelSpec)

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

Constructors in com.pervasive.datarush.analytics.decisiontree with parameters of type PMMLModelSpec

Constructor	Description
PMMLTreeModel(PMMLModelSpec modelSpec)	Create a PMMLTreeModel for the given spec.

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

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

Modifier and Type	Method	Description
protected RecordTokenType	DecisionTreePredictor.predictedType(PMMLModelSpec modelSpec)

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

Constructors in com.pervasive.datarush.analytics.naivebayes with parameters of type PMMLModelSpec

Constructor	Description
PMMLNaiveBayesModel(PMMLModelSpec modelSpec)	Create a PMMLNaiveBayesModel for the given spec.

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

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

Modifier and Type	Method	Description
protected RecordTokenType	NaiveBayesPredictor.predictedType(PMMLModelSpec spec)

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

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

Modifier and Type	Method	Description
static PMMLModelSpec	PMMLModelSpec.forAll(RecordTokenType inputType, String... targetColumns)	Convenience method to create a model spec where the learning columns are all input columns minus the target columns
static PMMLModelSpec	PMMLModelSpec.forSelected(RecordTokenType inputType, List<String> selectedColumns, String... targetColumns)	Convenience method to create a model spec where the learning columns are the specified selected columns minus the set of target columns.
PMMLModelSpec	PMMLModel.getModelSpec()	Returns the meta-information associated with this PMML model
PMMLModelSpec	PMMLPort.getPMMLModelSpec(MetadataContext ctx)	Getter to be used to set the PMMLModelSpec for a PMMLPort
PMMLModelSpec	PMMLPort.Metadata.getPMMLModelSpec()	Returns the underlying PMML model metadata

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

Modifier and Type	Method	Description
void	PMMLPort.setPMMLModelSpec(MetadataCalculationContext ctx, PMMLModelSpec spec)	Setter to be used to set the PMMLModelSpec for PMML ports.

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

Constructor	Description
Metadata(PMMLModelSpec pmmlModelSpec)	Creates a new port metadata
PMMLModel(PMMLModelSpec objectSpec)	Create a model, specifying a model spec.

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

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

Modifier and Type	Method	Description
protected RecordTokenType	LogisticRegressionPredictor.predictedType(PMMLModelSpec modelSpec)
protected RecordTokenType	RegressionPredictor.predictedType(PMMLModelSpec modelSpec)

Constructors in com.pervasive.datarush.analytics.regression with parameters of type PMMLModelSpec

Constructor	Description
AbstractPMMLRegressionModel(PMMLModelSpec objectSpec)
PMMLRegressionClassificationModel(PMMLModelSpec objectSpec)
PMMLRegressionModel(PMMLModelSpec objectSpec)	Construct the PMML model from a model specification.

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

Constructors in com.pervasive.datarush.analytics.stats with parameters of type PMMLModelSpec

Constructor	Description
PMMLSummaryStatisticsModel(PMMLModelSpec modelSpec)	Create a PMMLSummaryStatisticsModel for the given spec.

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

Constructors in com.pervasive.datarush.analytics.svm with parameters of type PMMLModelSpec

Constructor	Description
PMMLSupportVectorMachineModel(PMMLModelSpec modelSpec)	Create a PMMLSupportVectorMachineModel for the given spec.

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

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

Modifier and Type	Method	Description
protected RecordTokenType	SVMPredictor.predictedType(PMMLModelSpec modelSpec)

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

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

Modifier and Type	Method	Description
PMMLModelSpec	MixedTypeMetadataHelper.getPmmlSpec()

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

Modifier and Type	Method	Description
protected abstract RecordTokenType	AbstractPredictor.predictedType(PMMLModelSpec modelSpec)	Given the model spec, returns the predicted type.