类 NeuralNetwork
java.lang.Object
weka.classifiers.Classifier
weka.classifiers.pmml.consumer.PMMLClassifier
weka.classifiers.pmml.consumer.NeuralNetwork
- 所有已实现的接口:
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).
- 版本:
- $Revision 1.0 $
- 作者:
- Mark Hall (mhall{[at]}pentaho{[dot]}com)
- 另请参阅:
-
构造器概要
构造器 -
方法概要
从类继承的方法 weka.classifiers.pmml.consumer.PMMLClassifier
buildClassifier, done, getCreatorApplication, getDataDictionary, getFieldsMappingString, getLog, getMiningSchema, getPMMLVersion, mapToMiningSchema, setCreatorApplication, setLog, setPMMLVersion
从类继承的方法 weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions
-
构造器详细资料
-
NeuralNetwork
public NeuralNetwork(Element model, Instances dataDictionary, MiningSchema miningSchema) throws Exception - 抛出:
Exception
-
-
方法详细资料
-
getRevision
从类复制的说明:Classifier
Returns the revision string.- 指定者:
getRevision
在接口中RevisionHandler
- 覆盖:
getRevision
在类中Classifier
- 返回:
- the revision
-
distributionForInstance
Classifies the given test instance. The instance has to belong to a dataset when it's being classified.- 覆盖:
distributionForInstance
在类中Classifier
- 参数:
inst
- the instance to be classified- 返回:
- the predicted most likely class for the instance or Instance.missingValue() if no prediction is made
- 抛出:
Exception
- if an error occurred during the prediction
-
toString
-