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java.lang.Objectweka.experiment.RegressionSplitEvaluator
public class RegressionSplitEvaluator
A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.
Valid options are:-W <class name> The full class name of the classifier. eg: weka.classifiers.bayes.NaiveBayes
Options specific to classifier weka.classifiers.rules.ZeroR:
-D If set, classifier is run in debug mode and may output additional info to the console
Constructor Summary | |
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RegressionSplitEvaluator()
No args constructor. |
Method Summary | |
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java.lang.String |
classifierTipText()
Returns the tip text for this property |
java.util.Enumeration |
enumerateMeasures()
Returns an enumeration of any additional measure names that might be in the classifier |
Classifier |
getClassifier()
Get the value of Classifier. |
java.lang.Object[] |
getKey()
Gets the key describing the current SplitEvaluator. |
java.lang.String[] |
getKeyNames()
Gets the names of each of the key columns produced for a single run. |
java.lang.Object[] |
getKeyTypes()
Gets the data types of each of the key columns produced for a single run. |
double |
getMeasure(java.lang.String additionalMeasureName)
Returns the value of the named measure |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
java.lang.String |
getRawResultOutput()
Gets the raw output from the classifier |
java.lang.Object[] |
getResult(Instances train,
Instances test)
Gets the results for the supplied train and test datasets. |
java.lang.String[] |
getResultNames()
Gets the names of each of the result columns produced for a single run. |
java.lang.Object[] |
getResultTypes()
Gets the data types of each of the result columns produced for a single run. |
java.lang.String |
globalInfo()
Returns a string describing this split evaluator |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options.. |
void |
setAdditionalMeasures(java.lang.String[] additionalMeasures)
Set a list of method names for additional measures to look for in Classifiers. |
void |
setClassifier(Classifier newClassifier)
Sets the classifier. |
void |
setClassifierName(java.lang.String newClassifierName)
Set the Classifier to use, given it's class name. |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
java.lang.String |
toString()
Returns a text description of the split evaluator. |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public RegressionSplitEvaluator()
Method Detail |
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public java.lang.String globalInfo()
public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-W <class name> The full class name of the classifier. eg: weka.classifiers.bayes.NaiveBayes
Options specific to classifier weka.classifiers.rules.ZeroR:
-D If set, classifier is run in debug mode and may output additional info to the consoleAll option after -- will be passed to the classifier.
setOptions
in interface OptionHandler
options
- 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 OptionHandler
public void setAdditionalMeasures(java.lang.String[] additionalMeasures)
setAdditionalMeasures
in interface SplitEvaluator
additionalMeasures
- an array of method names.public java.util.Enumeration enumerateMeasures()
enumerateMeasures
in interface AdditionalMeasureProducer
public double getMeasure(java.lang.String additionalMeasureName)
getMeasure
in interface AdditionalMeasureProducer
additionalMeasureName
- the name of the measure to query for its value
java.lang.IllegalArgumentException
- if the named measure is not supportedpublic java.lang.Object[] getKeyTypes()
getKeyTypes
in interface SplitEvaluator
public java.lang.String[] getKeyNames()
getKeyNames
in interface SplitEvaluator
public java.lang.Object[] getKey()
getKey
in interface SplitEvaluator
public java.lang.Object[] getResultTypes()
getResultTypes
in interface SplitEvaluator
public java.lang.String[] getResultNames()
getResultNames
in interface SplitEvaluator
public java.lang.Object[] getResult(Instances train, Instances test) throws java.lang.Exception
getResult
in interface SplitEvaluator
train
- the training Instances.test
- the testing Instances.
java.lang.Exception
- if a problem occurs while getting the resultspublic java.lang.String classifierTipText()
public Classifier getClassifier()
public void setClassifier(Classifier newClassifier)
newClassifier
- the new classifier to use.public void setClassifierName(java.lang.String newClassifierName) throws java.lang.Exception
newClassifierName
- the Classifier class name.
java.lang.Exception
- if the class name is invalid.public java.lang.String getRawResultOutput()
getRawResultOutput
in interface SplitEvaluator
public java.lang.String toString()
toString
in class java.lang.Object
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