Package weka.classifiers.pmml.consumer

Class PMMLClassifier

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.pmml.consumer.PMMLClassifier

All Implemented Interfaces:

Serializable, Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, PMMLModel, RevisionHandler

Direct Known Subclasses:

GeneralRegression, NeuralNetwork, Regression, RuleSetModel, SupportVectorMachineModel, TreeModel

public abstract class PMMLClassifier
extends AbstractClassifier
implements Serializable, PMMLModel

Abstract base class for all PMML classifiers.

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

Method Summary

Modifier and Type	Method	Description
void	buildClassifier(Instances data)	Throw an exception - PMML models are pre-built.
void	done()	Signal that a scoring run has been completed.
String	getCreatorApplication()	Get the name of the application that created this model
Instances	getDataDictionary()	Get the data dictionary.
String	getFieldsMappingString()	Get a textual description of the mapping between mining schema fields and incoming data fields.
Logger	getLog()	Get the logger.
MiningSchema	getMiningSchema()	Get the mining schema for this model.
String	getPMMLVersion()	Get the PMML version used for this model.
void	mapToMiningSchema(Instances dataSet)	Map mining schema to incoming instances.
void	setCreatorApplication(Document doc)	Set the name of the application (if specified) that created this model
void	setLog(Logger log)	Set a logger to use.
void	setPMMLVersion(Document doc)	Set the version of PMML used for this model.

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getCapabilities, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getOptions, getRevision, 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, toString, wait, wait, wait

Method Details

setPMMLVersion

public void setPMMLVersion(Document doc)

Set the version of PMML used for this model.

Specified by:

setPMMLVersion in interface PMMLModel

Parameters:

doc - the Document encapsulating the pmml

setCreatorApplication

public void setCreatorApplication(Document doc)

Set the name of the application (if specified) that created this model

Specified by:

setCreatorApplication in interface PMMLModel

Parameters:

doc - the Document encapsulating the pmml

getDataDictionary

public Instances getDataDictionary()

Get the data dictionary.

Returns:

the data dictionary

getMiningSchema

public MiningSchema getMiningSchema()

Get the mining schema for this model.

Specified by:

getMiningSchema in interface PMMLModel

Returns:

the mining schema

getPMMLVersion

public String getPMMLVersion()

Get the PMML version used for this model.

Specified by:

getPMMLVersion in interface PMMLModel

Returns:

the PMML version

getCreatorApplication

public String getCreatorApplication()

Get the name of the application that created this model

Specified by:

getCreatorApplication in interface PMMLModel

Returns:

the name of the creating application or null if not specified in the pmml.

setLog

public void setLog(Logger log)

Set a logger to use.

Specified by:

setLog in interface PMMLModel

Parameters:

log - the logger to use

getLog

public Logger getLog()

Get the logger.

Specified by:

getLog in interface PMMLModel

Returns:

the logger (or null if none is being used)

buildClassifier

public void buildClassifier(Instances data)
                     throws Exception

Throw an exception - PMML models are pre-built.

Specified by:

buildClassifier in interface Classifier

Parameters:

data - the Instances to learn from

Throws:

Exception - if something goes wrong

done

public void done()

Signal that a scoring run has been completed. Resets the initialized state to false so that a subsequent scoring run will trigger the mapping of the mining schema to incoming instances. If not called after a scoring run, then the classifier will assume that the current mapping is still valid.

mapToMiningSchema

public void mapToMiningSchema(Instances dataSet)
                       throws Exception

Map mining schema to incoming instances.

Parameters:

dataSet - the structure of the incoming Instances

Throws:

Exception - if something goes wrong

getFieldsMappingString

public String getFieldsMappingString()

Get a textual description of the mapping between mining schema fields and incoming data fields.

Returns:

a description of the fields mapping as a String or null if no mapping has been constructed yet.