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Class weka.experiment.RegressionSplitEvaluator
java.lang.Object
|
+----weka.experiment.RegressionSplitEvaluator
- public class RegressionSplitEvaluator
- extends java.lang.Object
- implements SplitEvaluator, OptionHandler, AdditionalMeasureProducer
A SplitEvaluator that produces results for a classification scheme
on a numeric class attribute.
- Version:
- $Revision: 1.13 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
RegressionSplitEvaluator()
- No args constructor.
classifierTipText()
- Returns the tip text for this property
enumerateMeasures()
- Returns an enumeration of any additional measure names that might be
in the classifier
getClassifier()
- Get the value of Classifier.
getKey()
- Gets the key describing the current SplitEvaluator.
getKeyNames()
- Gets the names of each of the key columns produced for a single run.
getKeyTypes()
- Gets the data types of each of the key columns produced for a single run.
getMeasure(String)
- Returns the value of the named measure
getOptions()
- Gets the current settings of the Classifier.
getRawResultOutput()
- Gets the raw output from the classifier
getResult(Instances, Instances)
- Gets the results for the supplied train and test datasets.
getResultNames()
- Gets the names of each of the result columns produced for a single run.
getResultTypes()
- Gets the data types of each of the result columns produced for a
single run.
globalInfo()
- Returns a string describing this split evaluator
listOptions()
- Returns an enumeration describing the available options.
setAdditionalMeasures(String[])
- Set a list of method names for additional measures to look for
in Classifiers.
setClassifier(Classifier)
- Sets the classifier.
setClassifierName(String)
- Set the Classifier to use, given it's class name.
setOptions(String[])
- Parses a given list of options.
toString()
- Returns a text description of the split evaluator.
RegressionSplitEvaluator
public RegressionSplitEvaluator()
No args constructor.
globalInfo
public java.lang.String globalInfo()
Returns a string describing this split evaluator
- Returns:
- a description of the split evaluator suitable for
displaying in the explorer/experimenter gui
listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.
- Returns:
- an enumeration of all the available options
setOptions
public void setOptions(java.lang.String options[]) throws java.lang.Exception
Parses a given list of options. Valid options are:
-W classname
Specify the full class name of the classifier to evaluate.
All option after -- will be passed to the classifier.
- Parameters:
options
- the list of options as an array of strings
- Throws:
- java.lang.Exception - if an option is not supported
getOptions
public java.lang.String[] getOptions()
Gets the current settings of the Classifier.
- Returns:
- an array of strings suitable for passing to setOptions
setAdditionalMeasures
public void setAdditionalMeasures(java.lang.String additionalMeasures[])
Set a list of method names for additional measures to look for
in Classifiers. This could contain many measures (of which only a
subset may be produceable by the current Classifier) if an experiment
is the type that iterates over a set of properties.
- Parameters:
additionalMeasures
- an array of method names.
enumerateMeasures
public java.util.Enumeration enumerateMeasures()
Returns an enumeration of any additional measure names that might be
in the classifier
- Returns:
- an enumeration of the measure names
getMeasure
public double getMeasure(java.lang.String additionalMeasureName)
Returns the value of the named measure
- Parameters:
measureName
- the name of the measure to query for its value
- Returns:
- the value of the named measure
- Throws:
- java.lang.IllegalArgumentException - if the named measure is not supported
getKeyTypes
public java.lang.Object[] getKeyTypes()
Gets the data types of each of the key columns produced for a single run.
The number of key fields must be constant
for a given SplitEvaluator.
- Returns:
- an array containing objects of the type of each key column. The
objects should be Strings, or Doubles.
getKeyNames
public java.lang.String[] getKeyNames()
Gets the names of each of the key columns produced for a single run.
The number of key fields must be constant
for a given SplitEvaluator.
- Returns:
- an array containing the name of each key column
getKey
public java.lang.Object[] getKey()
Gets the key describing the current SplitEvaluator. For example
This may contain the name of the classifier used for classifier
predictive evaluation. The number of key fields must be constant
for a given SplitEvaluator.
- Returns:
- an array of objects containing the key.
getResultTypes
public java.lang.Object[] getResultTypes()
Gets the data types of each of the result columns produced for a
single run. The number of result fields must be constant
for a given SplitEvaluator.
- Returns:
- an array containing objects of the type of each result column.
The objects should be Strings, or Doubles.
getResultNames
public java.lang.String[] getResultNames()
Gets the names of each of the result columns produced for a single run.
The number of result fields must be constant
for a given SplitEvaluator.
- Returns:
- an array containing the name of each result column
getResult
public java.lang.Object[] getResult(Instances train,
Instances test) throws java.lang.Exception
Gets the results for the supplied train and test datasets.
- Parameters:
train
- the training Instances.
test
- the testing Instances.
- Returns:
- the results stored in an array. The objects stored in
the array may be Strings, Doubles, or null (for the missing value).
- Throws:
- java.lang.Exception - if a problem occurs while getting the results
classifierTipText
public java.lang.String classifierTipText()
Returns the tip text for this property
- Returns:
- tip text for this property suitable for
displaying in the explorer/experimenter gui
getClassifier
public Classifier getClassifier()
Get the value of Classifier.
- Returns:
- Value of Classifier.
setClassifier
public void setClassifier(Classifier newClassifier)
Sets the classifier.
- Parameters:
newClassifier
- the new classifier to use.
setClassifierName
public void setClassifierName(java.lang.String newClassifierName) throws java.lang.Exception
Set the Classifier to use, given it's class name. A new classifier will be
instantiated.
- Parameters:
newClassifier
- the Classifier class name.
- Throws:
- java.lang.Exception - if the class name is invalid.
getRawResultOutput
public java.lang.String getRawResultOutput()
Gets the raw output from the classifier
- Returns:
- the raw output from the classifier
toString
public java.lang.String toString()
Returns a text description of the split evaluator.
- Returns:
- a text description of the split evaluator.
- Overrides:
- toString in class java.lang.Object
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