Package weka.classifiers.pmml.consumer

Class NeuralNetwork

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.pmml.consumer.PMMLClassifier

weka.classifiers.pmml.consumer.NeuralNetwork

All Implemented Interfaces:

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

public class NeuralNetwork
extends PMMLClassifier

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

Version:

$Revision 1.0 $

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	Description
NeuralNetwork(Element model, Instances dataDictionary, MiningSchema miningSchema)

Method Summary

Modifier and Type	Method	Description
double[]	distributionForInstance(Instance inst)	Classifies the given test instance.
String	getRevision()	Returns the revision string.
String	toString()

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

Constructor Details

NeuralNetwork

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

Throws:

Exception

Method Details

getRevision

public 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

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()

Overrides:

toString in class Object