com.pervasive.datarush.analytics.naivebayes

Class PMMLNaiveBayesModel

java.lang.Object

com.pervasive.datarush.analytics.pmml.PMMLModel

com.pervasive.datarush.analytics.naivebayes.PMMLNaiveBayesModel

public final class PMMLNaiveBayesModel
extends PMMLModel

PMML Naive Bayes Model. This model uses the standard PMML Naive Bayes model for categorical data. In addition, it uses an TargetStatistics extension in order to support numerical data.

Nested Class Summary

Nested classes/interfaces inherited from class com.pervasive.datarush.analytics.pmml.PMMLModel

PMMLModel.MiningFunction

Constructor Summary

Constructors

Constructor and Description
PMMLNaiveBayesModel(Document document) Create a PMMLNaiveBayesModel, initialized to the contents of the given PMML document.
PMMLNaiveBayesModel(PMMLModelSpec modelSpec) Create a PMMLNaiveBayesModel for the given spec.

Method Summary

Modifier and Type	Method and Description
protected void	buildModelElement(Element element) Subclasses must implement this method to fill-in the contents of the model element.
Map<String,InputMappingModel>	getInputMappings() Gets the map of inputs for the PMML.
protected String	getModelElementName() Return the element name of the primary model element associated with this PMML
String	getModelName() Returns the "modelName" attribute for the model.
Map<String,Long>	getTargetCounts() Gets the map of target counts for the PMML.
double	getThreshold() Gets the "threshold" attribute for the model.
protected void	parseModelElement(Element element) Parse the given model element into the respective model object.
void	setInputMappings(Map<String,InputMappingModel> inputMappings) Sets the map of inputs for the PMML.
void	setModelName(String modelName) Sets the "modelName" attribute for the model.
void	setTargetCounts(Map<String,Long> targetCounts) Sets the map of target counts for the PMML.
void	setThreshold(double threshold) Sets the "threshold" attribute for the model.

Methods inherited from class com.pervasive.datarush.analytics.pmml.PMMLModel

findModelElement, getAnnotationText, getModelExplanation, getModelSpec, getVersion, parse, setAnnotationText, setModelExplanation, setVersion, toPMML

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PMMLNaiveBayesModel

public PMMLNaiveBayesModel(PMMLModelSpec modelSpec)

Create a PMMLNaiveBayesModel for the given spec.

Parameters:

modelSpec - The PMMLModelSpec

PMMLNaiveBayesModel

public PMMLNaiveBayesModel(Document document)

Create a PMMLNaiveBayesModel, initialized to the contents of the given PMML document.

Parameters:

document - The PMML document.

Method Detail

setModelName

public void setModelName(String modelName)

Sets the "modelName" attribute for the model.

Parameters:

modelName - the "modelName" attribute for the model.

getModelName

public String getModelName()

Returns the "modelName" attribute for the model.

Returns:

the "modelName" attribute for the model.

setThreshold

public void setThreshold(double threshold)

Sets the "threshold" attribute for the model.

Parameters:

threshold - the "threshold" attribute for the model.

getThreshold

public double getThreshold()

Gets the "threshold" attribute for the model.

Returns:

the "threshold" attribute for the model.

setTargetCounts

public void setTargetCounts(Map<String,Long> targetCounts)

Sets the map of target counts for the PMML. Provides the contents of the "TargetValueCounts" element. Keys in the map are target names. Values in the map are target counts.

Parameters:

targetCounts - the map of target counts

getTargetCounts

public Map<String,Long> getTargetCounts()

Gets the map of target counts for the PMML. Provides the contents of the "TargetValueCounts" element. Keys in the map are target names. Values in the map are target counts.

Returns:

the map of target counts

setInputMappings

public void setInputMappings(Map<String,InputMappingModel> inputMappings)

Sets the map of inputs for the PMML. Provides the contents of the "BayesInputs" element. Each entry in the map corresponds to one "BayesInput" element. The key determines the "fieldName" attribute. The value determines the payload of the element (PairCounts for discrete).

Parameters:

inputMappings - the map of inputs

getInputMappings

public Map<String,InputMappingModel> getInputMappings()

Gets the map of inputs for the PMML. Provides the contents of the "BayesInputs" element. Each entry in the map corresponds to one "BayesInput" element. The key determines the "fieldName" attribute. The value determines the payload of the element (PairCounts for discrete).

Returns:

the map of inputs

buildModelElement

protected void buildModelElement(Element element)

Description copied from class: PMMLModel

Subclasses must implement this method to fill-in the contents of the model element. At the time this method is invoked, the element will have its name and MiningSchema sub-element populated.

Specified by:

buildModelElement in class PMMLModel

Parameters:

element - the model element

parseModelElement

protected void parseModelElement(Element element)

Description copied from class: PMMLModel

Parse the given model element into the respective model object.

Specified by:

parseModelElement in class PMMLModel

Parameters:

element - root element of model object

getModelElementName

protected String getModelElementName()

Description copied from class: PMMLModel

Return the element name of the primary model element associated with this PMML

Specified by:

getModelElementName in class PMMLModel

Returns:

the element name of the primary model element