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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.meta.AttributeSelectedClassifier
Class for running an arbitrary classifier on data that has been reduced through attribute selection.
Valid options from the command line are:
-W classifierstring
Classifierstring should contain the full class name of a classifier
followed by options to the classifier.
(required).
-E evaluatorstring
Evaluatorstring should contain the full class name of an attribute
evaluator followed by any options.
(required).
-S searchstring
Searchstring should contain the full class name of a search method
followed by any options.
(required).
| Field Summary |
| Fields inherited from interface weka.core.Drawable |
BayesNet, NOT_DRAWABLE, TREE |
| Constructor Summary | |
AttributeSelectedClassifier()
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| Method Summary | |
void |
buildClassifier(Instances data)
Build the classifier on the dimensionally reduced data. |
java.lang.String |
classifierTipText()
Returns the tip text for this property |
double[] |
distributionForInstance(Instance instance)
Classifies a given instance after attribute selection |
java.util.Enumeration |
enumerateMeasures()
Returns an enumeration of the additional measure names |
java.lang.String |
evaluatorTipText()
Returns the tip text for this property |
Classifier |
getClassifier()
Gets the classifier used. |
ASEvaluation |
getEvaluator()
Gets the attribute evaluator used |
double |
getMeasure(java.lang.String additionalMeasureName)
Returns the value of the named measure |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
ASSearch |
getSearch()
Gets the search method used |
java.lang.String |
globalInfo()
Returns a string describing this search method |
java.lang.String |
graph()
Returns graph describing the classifier (if possible). |
int |
graphType()
Returns the type of graph this classifier represents. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
double |
measureNumAttributesSelected()
Additional measure --- number of attributes selected |
double |
measureSelectionTime()
Additional measure --- time taken (milliseconds) to select the attributes |
double |
measureTime()
Additional measure --- time taken (milliseconds) to select attributes and build the classifier |
java.lang.String |
searchTipText()
Returns the tip text for this property |
void |
setClassifier(Classifier classifier)
Sets the classifier |
void |
setEvaluator(ASEvaluation evaluator)
Sets the attribute evaluator |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setSearch(ASSearch search)
Sets the search method |
java.lang.String |
toString()
Output a representation of this classifier |
| Methods inherited from class weka.classifiers.Classifier |
classifyInstance, debugTipText, forName, getDebug, makeCopies, setDebug |
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
public AttributeSelectedClassifier()
| Method Detail |
public java.lang.String globalInfo()
public java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class Classifier
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-W classifierstring
Classifierstring should contain the full class name of a classifier
followed by options to the classifier.
(required).
-E evaluatorstring
Evaluatorstring should contain the full class name of an attribute
evaluator followed by any options.
(required).
-S searchstring
Searchstring should contain the full class name of a search method
followed by any options.
(required).
setOptions in interface OptionHandlersetOptions in class 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 OptionHandlergetOptions in class Classifierpublic java.lang.String classifierTipText()
public void setClassifier(Classifier classifier)
classifier - the classifier with all options set.public Classifier getClassifier()
public java.lang.String evaluatorTipText()
public void setEvaluator(ASEvaluation evaluator)
evaluator - the evaluator with all options set.public ASEvaluation getEvaluator()
public java.lang.String searchTipText()
public void setSearch(ASSearch search)
search - the search method with all options set.public ASSearch getSearch()
public void buildClassifier(Instances data)
throws java.lang.Exception
buildClassifier in class Classifierdata - the training data
java.lang.Exception - if the classifier could not be built successfully
public double[] distributionForInstance(Instance instance)
throws java.lang.Exception
distributionForInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if instance could not be classified
successfullypublic int graphType()
graphType in interface Drawable
public java.lang.String graph()
throws java.lang.Exception
graph in interface Drawablejava.lang.Exception - if the classifier cannot be graphedpublic java.lang.String toString()
public double measureNumAttributesSelected()
public double measureSelectionTime()
public double measureTime()
public java.util.Enumeration enumerateMeasures()
enumerateMeasures in interface AdditionalMeasureProducerpublic double getMeasure(java.lang.String additionalMeasureName)
getMeasure in interface AdditionalMeasureProduceradditionalMeasureName - the name of the measure to query for its value
java.lang.IllegalArgumentException - if the named measure is not supportedpublic static void main(java.lang.String[] argv)
argv - should contain the following arguments:
-t training file [-T test file] [-c class index]
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