weka.classifiers.pmml.consumer

Class SupportVectorMachineModel

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.pmml.consumer.PMMLClassifier

weka.classifiers.pmml.consumer.SupportVectorMachineModel

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, PMMLModel, RevisionHandler

public class SupportVectorMachineModel
extends PMMLClassifier
implements java.io.Serializable

Implements a PMML SupportVectorMachineModel

Version:

$Revision: 8034 $

Author:

Mark Hall (mhall{[at]}pentaho{[dot]}com)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor and Description
SupportVectorMachineModel(org.w3c.dom.Element model, Instances dataDictionary, MiningSchema miningSchema) Construct a new SupportVectorMachineModel encapsulating the information provided in the PMML document.

Method Summary

Modifier and Type	Method and Description
double[]	distributionForInstance(Instance inst) Classifies the given test instance.
java.lang.String	getRevision() Returns the revision string.
java.lang.String	toString() Get a textual description of this SupportVectorMachineModel

Methods inherited from class weka.classifiers.pmml.consumer.PMMLClassifier

buildClassifier, done, getCreatorApplication, getDataDictionary, getFieldsMappingString, getLog, getMiningSchema, getPMMLVersion, mapToMiningSchema, setCreatorApplication, setLog, setPMMLVersion

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getCapabilities, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getOptions, implementsMoreEfficientBatchPrediction, listOptions, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces, setOptions

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

SupportVectorMachineModel

public SupportVectorMachineModel(org.w3c.dom.Element model,
                                 Instances dataDictionary,
                                 MiningSchema miningSchema)
                          throws java.lang.Exception

Construct a new SupportVectorMachineModel encapsulating the information provided in the PMML document.

Parameters:

model - the SVM element from the PMML document

dataDictionary - the data dictionary

miningSchema - the mining schema

Throws:

java.lang.Exception - if the model can't be constructed from the PMML

Method Detail

distributionForInstance

public double[] distributionForInstance(Instance inst)
                                 throws java.lang.Exception

Classifies the given test instance. The instance has to belong to a dataset when it's being classified.

Specified by:

distributionForInstance in interface Classifier

Overrides:

distributionForInstance in class AbstractClassifier

Parameters:

inst - the instance to be classified

Returns:

the predicted most likely class for the instance or Utils.missingValue() if no prediction is made

Throws:

java.lang.Exception - if an error occurred during the prediction

getRevision

public java.lang.String getRevision()

Description copied from class: AbstractClassifier

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class AbstractClassifier

Returns:

the revision

toString

public java.lang.String toString()

Get a textual description of this SupportVectorMachineModel

Overrides:

toString in class java.lang.Object

Returns:

a description of this SupportVectorMachineModel as a string