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Class weka.experiment.CostSensitiveClassifierSplitEvaluator 

java.lang.Object
   |
   +----weka.experiment.ClassifierSplitEvaluator
           |
           +----weka.experiment.CostSensitiveClassifierSplitEvaluator
public class CostSensitiveClassifierSplitEvaluator
extends ClassifierSplitEvaluator
A SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.

Author:
Len Trigg (len@intelligenesis.net)

Constructor Index

o CostSensitiveClassifierSplitEvaluator()

Method Index

o getOnDemandDirectory()
Returns the directory that will be searched for cost files when loading on demand.
o getOptions()
Gets the current settings of the Classifier.
o getResult(Instances, Instances)
Gets the results for the supplied train and test datasets.
o getResultNames()
Gets the names of each of the result columns produced for a single run.
o getResultTypes()
Gets the data types of each of the result columns produced for a single run.
o globalInfo()
Returns a string describing this split evaluator
o listOptions()
Returns an enumeration describing the available options.
o onDemandDirectoryTipText()
Returns the tip text for this property
o setOnDemandDirectory(File)
Sets the directory that will be searched for cost files when loading on demand.
o setOptions(String[])
Parses a given list of options.
o toString()
Returns a text description of the split evaluator.

Constructors

o CostSensitiveClassifierSplitEvaluator 
 public CostSensitiveClassifierSplitEvaluator()

Methods

o globalInfo 
 public String globalInfo()
Returns a string describing this split evaluator

Returns:
a description of the split evaluator suitable for displaying in the explorer/experimenter gui
Overrides:
globalInfo in class ClassifierSplitEvaluator
o listOptions 
 public Enumeration listOptions()
Returns an enumeration describing the available options.

Returns:
an enumeration of all the available options
Overrides:
listOptions in class ClassifierSplitEvaluator
o setOptions 
 public void setOptions(String options[]) throws Exception
Parses a given list of options. Valid options (in addition to those of ClassifierSplitEvaluator) are:

-D directory
Name of a directory to search for cost files when loading costs on demand (default current directory).

All option after -- will be passed to the classifier.

Parameters:
options - the list of options as an array of strings
Throws: Exception
if an option is not supported
Overrides:
setOptions in class ClassifierSplitEvaluator
o getOptions 
 public String[] getOptions()
Gets the current settings of the Classifier.

Returns:
an array of strings suitable for passing to setOptions
Overrides:
getOptions in class ClassifierSplitEvaluator
o onDemandDirectoryTipText 
 public String onDemandDirectoryTipText()
Returns the tip text for this property

Returns:
tip text for this property suitable for displaying in the explorer/experimenter gui
o getOnDemandDirectory 
 public File getOnDemandDirectory()
Returns the directory that will be searched for cost files when loading on demand.

Returns:
The cost file search directory.
o setOnDemandDirectory 
 public void setOnDemandDirectory(File newDir)
Sets the directory that will be searched for cost files when loading on demand.

Parameters:
newDir - The cost file search directory.
o getResultTypes 
 public 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.
Overrides:
getResultTypes in class ClassifierSplitEvaluator
o getResultNames 
 public 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
Overrides:
getResultNames in class ClassifierSplitEvaluator
o getResult 
 public Object[] getResult(Instances train,
                           Instances test) throws 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: Exception
if a problem occurs while getting the results
Overrides:
getResult in class ClassifierSplitEvaluator
o toString 
 public String toString()
Returns a text description of the split evaluator.

Returns:
a text description of the split evaluator.
Overrides:
toString in class ClassifierSplitEvaluator 
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