weka.classifiers.pmml.consumer

Class RuleSetModel

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.pmml.consumer.PMMLClassifier

weka.classifiers.pmml.consumer.RuleSetModel

All Implemented Interfaces:

Serializable, Cloneable, Classifier, CapabilitiesHandler, OptionHandler, PMMLModel, RevisionHandler

public class RuleSetModel
extends PMMLClassifier

Class implementing import of PMML RuleSetModel. Can be used as a Weka classifier for prediction only (buildClassifier() raises an Exception).

Version:

$Revision: 8034 $

Author:

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

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RuleSetModel(Element model, Instances dataDictionary, MiningSchema miningSchema) Constructor for a RuleSetModel

Method Summary

Methods

Modifier and Type	Method and Description
double[]	distributionForInstance(Instance inst) Classifies the given test instance.
String	getRevision() Get the revision string for this class
String	toString() Return a textual description of this model.

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

classifyInstance, debugTipText, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, runClassifier, setDebug, setOptions

Methods inherited from class java.lang.Object

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

Constructor Detail

RuleSetModel

public RuleSetModel(Element model,
            Instances dataDictionary,
            MiningSchema miningSchema)
             throws Exception

Constructor for a RuleSetModel

Parameters:

model - the XML element encapsulating the RuleSetModel

dataDictionary - the data dictionary to use

miningSchema - the mining schema to use

Throws:

Exception - if something goes wrong

Method Detail

distributionForInstance

public double[] distributionForInstance(Instance inst)
                                 throws 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:

Exception - if an error occurred during the prediction

toString

public String toString()

Return a textual description of this model.

Overrides:

toString in class Object

Returns:

a textual description of this model

getRevision

public String getRevision()

Get the revision string for this class

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class AbstractClassifier

Returns:

the revision string