Package weka.experiment
Interface SplitEvaluator
- All Superinterfaces:
Serializable
- All Known Implementing Classes:
ClassifierSplitEvaluator
,CostSensitiveClassifierSplitEvaluator
,DensityBasedClustererSplitEvaluator
,RegressionSplitEvaluator
Interface to objects able to generate a fixed set of results for
a particular split of a dataset. The set of results should contain
fields related to any settings of the SplitEvaluator (not including
the dataset name. For example, one field for the classifier used to
get the results, another for the classifier options, etc).
Possible implementations of SplitEvaluator:
- StdClassification results
- StdRegression results
- Version:
- $Revision: 8034 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
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Method Summary
Modifier and TypeMethodDescriptionObject[]
getKey()
Gets the key describing the current SplitEvaluator.String[]
Gets the names of each of the key columns produced for a single run.Object[]
Gets the data types of each of the key columns produced for a single run.Returns the raw output for the most recent call to getResult.Object[]
Gets the results for the supplied train and test datasets.String[]
Gets the names of each of the result columns produced for a single run.Object[]
Gets the data types of each of the result columns produced for a single run.void
setAdditionalMeasures
(String[] additionalMeasures) Sets a list of method names for additional measures to look for in SplitEvaluators.
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Method Details
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setAdditionalMeasures
Sets a list of method names for additional measures to look for in SplitEvaluators.- Parameters:
additionalMeasures
- a list of method names
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getKeyNames
String[] getKeyNames()Gets the names of each of the key columns produced for a single run. The names should not contain spaces (use '_' instead for easy translation.) The number of key fields must be constant for a given SplitEvaluator.- Returns:
- an array containing the name of each key column
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getKeyTypes
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.
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getResultNames
String[] getResultNames()Gets the names of each of the result columns produced for a single run. The names should not contain spaces (use '_' instead for easy translation.) The number of result fields must be constant for a given SplitEvaluator.- Returns:
- an array containing the name of each result column
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getResultTypes
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.
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getKey
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:
- a value of type 'Object'
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getResult
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
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getRawResultOutput
String getRawResultOutput()Returns the raw output for the most recent call to getResult. Useful for debugging splitEvaluators.- Returns:
- the raw output corresponding to the most recent call to getResut
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