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java.lang.Objectweka.classifiers.Classifier
wGmdh.MscPrototype
@Deprecated public abstract class MscPrototype
It will randomize the provided dataset
| Field Summary | |
|---|---|
protected MultiSelectCombi.ModelAndLayer |
currentlyBestStructure
Deprecated. |
protected int |
divergenceTolerance
Deprecated. |
protected java.lang.String |
filterSelection
Deprecated. |
protected MultiSelectCombi |
gmdhNet
Deprecated. |
int |
iterations
Deprecated. |
protected TwoInputModel |
modelToOutput
Deprecated. |
protected int |
nrLayers
Deprecated. |
protected long |
randomSeed
Deprecated. |
protected NodeFilter |
selector
Deprecated. |
StructureLearningPerformance |
structureLearningPerformance
Deprecated. |
StructureValidationPerformance |
structureValidationPerformance
Deprecated. |
protected boolean |
visualizeNet
Deprecated. |
| Fields inherited from class weka.classifiers.Classifier |
|---|
m_Debug |
| Fields inherited from interface weka.core.Drawable |
|---|
BayesNet, NOT_DRAWABLE, TREE |
| Constructor Summary | |
|---|---|
MscPrototype()
Deprecated. |
|
| Method Summary | |
|---|---|
void |
buildClassifier(weka.core.Instances instances)
Deprecated. |
double |
classifyInstance(weka.core.Instance instance)
Deprecated. Classifies the given test instance. |
java.lang.Object |
clone()
Deprecated. |
double[] |
distributionForInstance(weka.core.Instance instance)
Deprecated. |
void |
done()
Deprecated. |
protected TwoInputModel |
getBest(int layerIndex)
Deprecated. |
weka.core.Capabilities |
getCapabilities()
Deprecated. |
int |
getMaxLayers()
Deprecated. |
int |
getNumberOfLayers()
Deprecated. Attribute layer included in the count. |
java.lang.String[] |
getOptions()
Deprecated. Gets the current settings of our Classifier. |
long |
getRandomSeed()
Deprecated. |
java.lang.String |
getRevision()
Deprecated. Returns the revision string. |
NodeFilter |
getSelector()
Deprecated. |
Measure |
getStructureLearningPerformanceMeasure()
Deprecated. |
Measure |
getStructureValidationPerformanceMeasure()
Deprecated. |
weka.core.TechnicalInformation |
getTechnicalInformation()
Deprecated. |
boolean |
getVisualize()
Deprecated. |
java.lang.String |
globalInfo()
Deprecated. |
java.lang.String |
graph()
Deprecated. |
int |
graphType()
Deprecated. |
abstract void |
initClassifier(weka.core.Instances instances)
Deprecated. |
java.util.Enumeration |
listOptions()
Deprecated. Returns an enumeration describing the available options. |
java.lang.String |
maxLayersTipText()
Deprecated. |
void |
next(int nrIteration)
Deprecated. |
void |
setMaxLayers(int nrLayers)
Deprecated. |
void |
setOptions(java.lang.String[] options)
Deprecated. Parses a given list of options |
void |
setOutputModel(int layer,
weka.core.Instances insts)
Deprecated. Chooses the best model structure on layer, trains it on insts and prepares the classifier for evaluating it. |
void |
setRandomSeed(long randomSeed)
Deprecated. |
void |
setSelector(NodeFilter selector)
Deprecated. |
void |
setStructureLearningPerformanceMeasure(Measure m)
Deprecated. |
void |
setStructureValidationPerformanceMeasure(Measure m)
Deprecated. |
void |
setVisualize(boolean visualizeNet)
Deprecated. |
java.lang.String |
structureLearningPerformanceMeasureTipText()
Deprecated. |
java.lang.String |
structureValidationMeasureTipText()
Deprecated. |
java.lang.String |
toString()
Deprecated. |
java.lang.String |
visualizeTipText()
Deprecated. |
| Methods inherited from class weka.classifiers.Classifier |
|---|
debugTipText, forName, getDebug, makeCopies, makeCopy, runClassifier, setDebug |
| Methods inherited from class java.lang.Object |
|---|
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
protected MultiSelectCombi gmdhNet
protected int nrLayers
protected boolean visualizeNet
protected java.lang.String filterSelection
protected long randomSeed
protected int divergenceTolerance
protected MultiSelectCombi.ModelAndLayer currentlyBestStructure
protected TwoInputModel modelToOutput
protected NodeFilter selector
public StructureLearningPerformance structureLearningPerformance
public StructureValidationPerformance structureValidationPerformance
public int iterations
| Constructor Detail |
|---|
public MscPrototype()
| Method Detail |
|---|
public void setStructureLearningPerformanceMeasure(Measure m)
public Measure getStructureLearningPerformanceMeasure()
public java.lang.String structureLearningPerformanceMeasureTipText()
public void setStructureValidationPerformanceMeasure(Measure m)
public Measure getStructureValidationPerformanceMeasure()
public java.lang.String structureValidationMeasureTipText()
public int getNumberOfLayers()
protected TwoInputModel getBest(int layerIndex)
layerIndex -
public int getMaxLayers()
public void setMaxLayers(int nrLayers)
public java.lang.String maxLayersTipText()
public boolean getVisualize()
public void setVisualize(boolean visualizeNet)
public java.lang.String visualizeTipText()
public abstract void initClassifier(weka.core.Instances instances)
throws java.lang.Exception
initClassifier in interface weka.classifiers.IterativeClassifierjava.lang.Exception
public void next(int nrIteration)
throws ExpressionEqualToZero,
TooBig,
TooSmall
next in interface weka.classifiers.IterativeClassifierExpressionEqualToZero
TooBig
TooSmall
public void done()
throws java.lang.Exception
done in interface weka.classifiers.IterativeClassifierjava.lang.Exceptionpublic java.lang.Object clone()
clone in interface weka.classifiers.IterativeClassifierclone in class java.lang.Object
public void buildClassifier(weka.core.Instances instances)
throws java.lang.Exception
buildClassifier in class weka.classifiers.Classifierjava.lang.Exceptionpublic java.lang.String getRevision()
getRevision in interface weka.core.RevisionHandlerpublic weka.core.Capabilities getCapabilities()
getCapabilities in interface weka.core.CapabilitiesHandlergetCapabilities in class weka.classifiers.Classifier
public double classifyInstance(weka.core.Instance instance)
throws java.lang.Exception
classifyInstance in class weka.classifiers.Classifierinstance - the instance to be classified
java.lang.Exception - if an error occurred during the prediction
public double[] distributionForInstance(weka.core.Instance instance)
throws java.lang.Exception
distributionForInstance in class weka.classifiers.Classifierjava.lang.Exceptionpublic java.lang.String globalInfo()
public java.util.Enumeration listOptions()
listOptions in interface weka.core.OptionHandlerlistOptions in class weka.classifiers.Classifier
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
setOptions in interface weka.core.OptionHandlersetOptions in class weka.classifiers.Classifieroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface weka.core.OptionHandlergetOptions in class weka.classifiers.Classifierpublic java.lang.String toString()
toString in class java.lang.Objectpublic int graphType()
graphType in interface weka.core.Drawable
public java.lang.String graph()
throws java.lang.Exception
graph in interface weka.core.Drawablejava.lang.Exceptionpublic weka.core.TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface weka.core.TechnicalInformationHandler
public void setOutputModel(int layer,
weka.core.Instances insts)
layer - public NodeFilter getSelector()
public void setSelector(NodeFilter selector)
selector - the selector to setpublic long getRandomSeed()
public void setRandomSeed(long randomSeed)
randomSeed - the randomSeed to set
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