org.dmg.pmml.naive_bayes

Class NaiveBayesModel

java.lang.Object

org.dmg.pmml.PMMLObject

org.dmg.pmml.Model

org.dmg.pmml.naive_bayes.NaiveBayesModel

All Implemented Interfaces:

Serializable, HasExtensions, HasLocator, Visitable

public class NaiveBayesModel
extends Model
implements HasExtensions

Java class for anonymous complex type.

The following schema fragment specifies the expected content contained within this class.

 <complexType>
   <complexContent>
     <restriction base="{http://www.w3.org/2001/XMLSchema}anyType">
       <sequence>
         <element ref="{http://www.dmg.org/PMML-4_3}Extension" maxOccurs="unbounded" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_3}MiningSchema"/>
         <element ref="{http://www.dmg.org/PMML-4_3}Output" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_3}ModelStats" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_3}ModelExplanation" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_3}Targets" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_3}LocalTransformations" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_3}BayesInputs"/>
         <element ref="{http://www.dmg.org/PMML-4_3}BayesOutput"/>
         <element ref="{http://www.dmg.org/PMML-4_3}ModelVerification" minOccurs="0"/>
       </sequence>
       <attribute name="modelName" type="{http://www.w3.org/2001/XMLSchema}string" />
       <attribute name="threshold" use="required" type="{http://www.dmg.org/PMML-4_3}REAL-NUMBER" />
       <attribute name="functionName" use="required" type="{http://www.dmg.org/PMML-4_3}MINING-FUNCTION" />
       <attribute name="algorithmName" type="{http://www.w3.org/2001/XMLSchema}string" />
       <attribute name="isScorable" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" />
     </restriction>
   </complexContent>
 </complexType>
 

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NaiveBayesModel()
NaiveBayesModel(double threshold, MiningFunction miningFunction, MiningSchema miningSchema, BayesInputs bayesInputs, BayesOutput bayesOutput)

Method Summary

Methods

Modifier and Type	Method and Description
VisitorAction	accept(Visitor visitor)
NaiveBayesModel	addExtensions(Extension... extensions)
String	getAlgorithmName() Gets the value of the algorithmName property.
BayesInputs	getBayesInputs() Gets the value of the bayesInputs property.
BayesOutput	getBayesOutput() Gets the value of the bayesOutput property.
List<Extension>	getExtensions() Gets the value of the extensions property.
LocalTransformations	getLocalTransformations() Gets the value of the localTransformations property.
MiningFunction	getMiningFunction() Gets the value of the miningFunction property.
MiningSchema	getMiningSchema() Gets the value of the miningSchema property.
ModelExplanation	getModelExplanation() Gets the value of the modelExplanation property.
String	getModelName() Gets the value of the modelName property.
ModelStats	getModelStats() Gets the value of the modelStats property.
ModelVerification	getModelVerification() Gets the value of the modelVerification property.
Output	getOutput() Gets the value of the output property.
Targets	getTargets() Gets the value of the targets property.
double	getThreshold() Gets the value of the threshold property.
boolean	hasExtensions()
boolean	isScorable() Gets the value of the scorable property.
NaiveBayesModel	setAlgorithmName(String algorithmName) Sets the value of the algorithmName property.
NaiveBayesModel	setBayesInputs(BayesInputs bayesInputs) Sets the value of the bayesInputs property.
NaiveBayesModel	setBayesOutput(BayesOutput bayesOutput) Sets the value of the bayesOutput property.
NaiveBayesModel	setLocalTransformations(LocalTransformations localTransformations) Sets the value of the localTransformations property.
NaiveBayesModel	setMiningFunction(MiningFunction miningFunction) Sets the value of the miningFunction property.
NaiveBayesModel	setMiningSchema(MiningSchema miningSchema) Sets the value of the miningSchema property.
NaiveBayesModel	setModelExplanation(ModelExplanation modelExplanation) Sets the value of the modelExplanation property.
NaiveBayesModel	setModelName(String modelName) Sets the value of the modelName property.
NaiveBayesModel	setModelStats(ModelStats modelStats) Sets the value of the modelStats property.
NaiveBayesModel	setModelVerification(ModelVerification modelVerification) Sets the value of the modelVerification property.
NaiveBayesModel	setOutput(Output output) Sets the value of the output property.
NaiveBayesModel	setScorable(Boolean scorable) Sets the value of the scorable property.
NaiveBayesModel	setTargets(Targets targets) Sets the value of the targets property.
NaiveBayesModel	setThreshold(double threshold) Sets the value of the threshold property.

Methods inherited from class org.dmg.pmml.PMMLObject

getLocator, setLocator, traverse, traverse, traverse, traverse, traverseMixed

Methods inherited from class java.lang.Object

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

Constructor Detail

NaiveBayesModel

public NaiveBayesModel()

NaiveBayesModel

public NaiveBayesModel(double threshold,
               MiningFunction miningFunction,
               MiningSchema miningSchema,
               BayesInputs bayesInputs,
               BayesOutput bayesOutput)

Method Detail

getModelName

public String getModelName()

Gets the value of the modelName property.

Specified by:

getModelName in class Model

Returns:

possible object is String

setModelName

public NaiveBayesModel setModelName(String modelName)

Sets the value of the modelName property.

Specified by:

setModelName in class Model

Parameters:

modelName - allowed object is String

getThreshold

public double getThreshold()

Gets the value of the threshold property.

setThreshold

public NaiveBayesModel setThreshold(double threshold)

Sets the value of the threshold property.

getMiningFunction

public MiningFunction getMiningFunction()

Gets the value of the miningFunction property.

Specified by:

getMiningFunction in class Model

Returns:

possible object is MiningFunction

setMiningFunction

public NaiveBayesModel setMiningFunction(MiningFunction miningFunction)

Sets the value of the miningFunction property.

Specified by:

setMiningFunction in class Model

Parameters:

miningFunction - allowed object is MiningFunction

getAlgorithmName

public String getAlgorithmName()

Gets the value of the algorithmName property.

Specified by:

getAlgorithmName in class Model

Returns:

possible object is String

setAlgorithmName

public NaiveBayesModel setAlgorithmName(String algorithmName)

Sets the value of the algorithmName property.

Specified by:

setAlgorithmName in class Model

Parameters:

algorithmName - allowed object is String

isScorable

public boolean isScorable()

Gets the value of the scorable property.

Specified by:

isScorable in class Model

Returns:

possible object is Boolean

setScorable

public NaiveBayesModel setScorable(Boolean scorable)

Sets the value of the scorable property.

Specified by:

setScorable in class Model

Parameters:

scorable - allowed object is Boolean

getExtensions

public List<Extension> getExtensions()

Gets the value of the extensions property.

This accessor method returns a reference to the live list, not a snapshot. Therefore any modification you make to the returned list will be present inside the JAXB object. This is why there is not a set method for the extensions property.

For example, to add a new item, do as follows:

    getExtensions().add(newItem);
 

Objects of the following type(s) are allowed in the list Extension

Specified by:

getExtensions in interface HasExtensions

getMiningSchema

public MiningSchema getMiningSchema()

Gets the value of the miningSchema property.

Specified by:

getMiningSchema in class Model

Returns:

possible object is MiningSchema

setMiningSchema

public NaiveBayesModel setMiningSchema(MiningSchema miningSchema)

Sets the value of the miningSchema property.

Specified by:

setMiningSchema in class Model

Parameters:

miningSchema - allowed object is MiningSchema

getOutput

public Output getOutput()

Gets the value of the output property.

Overrides:

getOutput in class Model

Returns:

possible object is Output

setOutput

public NaiveBayesModel setOutput(Output output)

Sets the value of the output property.

Overrides:

setOutput in class Model

Parameters:

output - allowed object is Output

getModelStats

public ModelStats getModelStats()

Gets the value of the modelStats property.

Specified by:

getModelStats in class Model

Returns:

possible object is ModelStats

setModelStats

public NaiveBayesModel setModelStats(ModelStats modelStats)

Sets the value of the modelStats property.

Specified by:

setModelStats in class Model

Parameters:

modelStats - allowed object is ModelStats

getModelExplanation

public ModelExplanation getModelExplanation()

Gets the value of the modelExplanation property.

Overrides:

getModelExplanation in class Model

Returns:

possible object is ModelExplanation

setModelExplanation

public NaiveBayesModel setModelExplanation(ModelExplanation modelExplanation)

Sets the value of the modelExplanation property.

Overrides:

setModelExplanation in class Model

Parameters:

modelExplanation - allowed object is ModelExplanation

getTargets

public Targets getTargets()

Gets the value of the targets property.

Overrides:

getTargets in class Model

Returns:

possible object is Targets

setTargets

public NaiveBayesModel setTargets(Targets targets)

Sets the value of the targets property.

Overrides:

setTargets in class Model

Parameters:

targets - allowed object is Targets

getLocalTransformations

public LocalTransformations getLocalTransformations()

Gets the value of the localTransformations property.

Specified by:

getLocalTransformations in class Model

Returns:

possible object is LocalTransformations

setLocalTransformations

public NaiveBayesModel setLocalTransformations(LocalTransformations localTransformations)

Sets the value of the localTransformations property.

Specified by:

setLocalTransformations in class Model

Parameters:

localTransformations - allowed object is LocalTransformations

getBayesInputs

public BayesInputs getBayesInputs()

Gets the value of the bayesInputs property.

Returns:

possible object is BayesInputs

setBayesInputs

public NaiveBayesModel setBayesInputs(BayesInputs bayesInputs)

Sets the value of the bayesInputs property.

Parameters:

bayesInputs - allowed object is BayesInputs

getBayesOutput

public BayesOutput getBayesOutput()

Gets the value of the bayesOutput property.

Returns:

possible object is BayesOutput

setBayesOutput

public NaiveBayesModel setBayesOutput(BayesOutput bayesOutput)

Sets the value of the bayesOutput property.

Parameters:

bayesOutput - allowed object is BayesOutput

getModelVerification

public ModelVerification getModelVerification()

Gets the value of the modelVerification property.

Overrides:

getModelVerification in class Model

Returns:

possible object is ModelVerification

setModelVerification

public NaiveBayesModel setModelVerification(ModelVerification modelVerification)

Sets the value of the modelVerification property.

Overrides:

setModelVerification in class Model

Parameters:

modelVerification - allowed object is ModelVerification

hasExtensions

public boolean hasExtensions()

Specified by:

hasExtensions in interface HasExtensions

addExtensions

public NaiveBayesModel addExtensions(Extension... extensions)

accept

public VisitorAction accept(Visitor visitor)

Specified by:

accept in interface Visitable