Package weka.classifiers.pmml.consumer
Class NeuralNetwork
java.lang.Object
weka.classifiers.Classifier
weka.classifiers.pmml.consumer.PMMLClassifier
weka.classifiers.pmml.consumer.NeuralNetwork
- All Implemented Interfaces:
Serializable
,Cloneable
,CapabilitiesHandler
,OptionHandler
,PMMLModel
,RevisionHandler
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:
-
Constructor Summary
ConstructorsConstructorDescriptionNeuralNetwork
(Element model, Instances dataDictionary, MiningSchema miningSchema) -
Method Summary
Modifier and TypeMethodDescriptiondouble[]
Classifies the given test instance.Returns the revision 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.Classifier
classifyInstance, debugTipText, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions
-
Constructor Details
-
NeuralNetwork
public NeuralNetwork(Element model, Instances dataDictionary, MiningSchema miningSchema) throws Exception - Throws:
Exception
-
-
Method Details
-
getRevision
Description copied from class:Classifier
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classClassifier
- Returns:
- the revision
-
distributionForInstance
Classifies the given test instance. The instance has to belong to a dataset when it's being classified.- Overrides:
distributionForInstance
in classClassifier
- Parameters:
inst
- the instance to be classified- Returns:
- the predicted most likely class for the instance or Instance.missingValue() if no prediction is made
- Throws:
Exception
- if an error occurred during the prediction
-
toString
-