Package weka.attributeSelection
Class CheckAttributeSelection
- java.lang.Object
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- weka.core.Check
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- weka.core.CheckScheme
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- weka.attributeSelection.CheckAttributeSelection
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- All Implemented Interfaces:
OptionHandler
,RevisionHandler
public class CheckAttributeSelection extends CheckScheme
Class for examining the capabilities and finding problems with attribute selection schemes. If you implement an attribute selection using the WEKA.libraries, you should run the checks on it to ensure robustness and correct operation. Passing all the tests of this object does not mean bugs in the attribute selection don't exist, but this will help find some common ones. Typical usage:java weka.attributeSelection.CheckAttributeSelection -W ASscheme_name -- ASscheme_options
CheckAttributeSelection reports on the following:- Scheme abilities
- Possible command line options to the scheme
- Whether the scheme can predict nominal, numeric, string, date or relational class attributes.
- Whether the scheme can handle numeric predictor attributes
- Whether the scheme can handle nominal predictor attributes
- Whether the scheme can handle string predictor attributes
- Whether the scheme can handle date predictor attributes
- Whether the scheme can handle relational predictor attributes
- Whether the scheme can handle multi-instance data
- Whether the scheme can handle missing predictor values
- Whether the scheme can handle missing class values
- Whether a nominal scheme only handles 2 class problems
- Whether the scheme can handle instance weights
- Correct functioning
- Correct initialisation during search (i.e. no result changes when search is performed repeatedly)
- Whether the scheme alters the data pased to it (number of instances, instance order, instance weights, etc)
- Degenerate cases
- building scheme with zero instances
- all but one predictor attribute values missing
- all predictor attribute values missing
- all but one class values missing
- all class values missing
weka.attributeSelection.AbstractAttributeSelectionTest
uses this class to test all the schemes. Any changes here, have to be checked in that abstract test class, too. Valid options are:-D Turn on debugging output.
-S Silent mode - prints nothing to stdout.
-N <num> The number of instances in the datasets (default 20).
-nominal <num> The number of nominal attributes (default 2).
-nominal-values <num> The number of values for nominal attributes (default 1).
-numeric <num> The number of numeric attributes (default 1).
-string <num> The number of string attributes (default 1).
-date <num> The number of date attributes (default 1).
-relational <num> The number of relational attributes (default 1).
-num-instances-relational <num> The number of instances in relational/bag attributes (default 10).
-words <comma-separated-list> The words to use in string attributes.
-word-separators <chars> The word separators to use in string attributes.
-eval name [options] Full name and options of the evaluator analyzed. eg: weka.attributeSelection.CfsSubsetEval
-search name [options] Full name and options of the search method analyzed. eg: weka.attributeSelection.Ranker
-test <eval|search> The scheme to test, either the evaluator or the search method. (Default: eval)
Options specific to evaluator weka.attributeSelection.CfsSubsetEval:
-M Treat missing values as a seperate value.
-L Don't include locally predictive attributes.
Options specific to search method weka.attributeSelection.Ranker:
-P <start set> Specify a starting set of attributes. Eg. 1,3,5-7. Any starting attributes specified are ignored during the ranking.
-T <threshold> Specify a theshold by which attributes may be discarded from the ranking.
-N <num to select> Specify number of attributes to select
- Version:
- $Revision: 4783 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)
- See Also:
TestInstances
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Nested Class Summary
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Nested classes/interfaces inherited from class weka.core.CheckScheme
CheckScheme.PostProcessor
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Constructor Summary
Constructors Constructor Description CheckAttributeSelection()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
doTests()
Begin the tests, reporting results to System.outASEvaluation
getEvaluator()
Get the current evaluatorjava.lang.String[]
getOptions()
Gets the current settings of the CheckAttributeSelection.java.lang.String
getRevision()
Returns the revision string.ASSearch
getSearch()
Get the current search methodboolean
getTestEvaluator()
Gets whether the evaluator is being tested or the search method.java.util.Enumeration
listOptions()
Returns an enumeration describing the available options.static void
main(java.lang.String[] args)
Test method for this classvoid
setEvaluator(ASEvaluation value)
Set the evaluator to test.void
setOptions(java.lang.String[] options)
Parses a given list of options.void
setSearch(ASSearch value)
Set the search method to test.void
setTestEvaluator(boolean value)
Sets whether the evaluator or the search method is being tested.-
Methods inherited from class weka.core.CheckScheme
attributeTypeToString, getNumDate, getNumInstances, getNumInstancesRelational, getNumNominal, getNumNumeric, getNumRelational, getNumString, getPostProcessor, getWords, getWordSeparators, hasClasspathProblems, setNumDate, setNumInstances, setNumInstancesRelational, setNumNominal, setNumNumeric, setNumRelational, setNumString, setPostProcessor, setWords, setWordSeparators
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Method Detail
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classCheckScheme
- Returns:
- an enumeration of all the available options.
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
Parses a given list of options. Valid options are:-D Turn on debugging output.
-S Silent mode - prints nothing to stdout.
-N <num> The number of instances in the datasets (default 20).
-nominal <num> The number of nominal attributes (default 2).
-nominal-values <num> The number of values for nominal attributes (default 1).
-numeric <num> The number of numeric attributes (default 1).
-string <num> The number of string attributes (default 1).
-date <num> The number of date attributes (default 1).
-relational <num> The number of relational attributes (default 1).
-num-instances-relational <num> The number of instances in relational/bag attributes (default 10).
-words <comma-separated-list> The words to use in string attributes.
-word-separators <chars> The word separators to use in string attributes.
-eval name [options] Full name and options of the evaluator analyzed. eg: weka.attributeSelection.CfsSubsetEval
-search name [options] Full name and options of the search method analyzed. eg: weka.attributeSelection.Ranker
-test <eval|search> The scheme to test, either the evaluator or the search method. (Default: eval)
Options specific to evaluator weka.attributeSelection.CfsSubsetEval:
-M Treat missing values as a seperate value.
-L Don't include locally predictive attributes.
Options specific to search method weka.attributeSelection.Ranker:
-P <start set> Specify a starting set of attributes. Eg. 1,3,5-7. Any starting attributes specified are ignored during the ranking.
-T <threshold> Specify a theshold by which attributes may be discarded from the ranking.
-N <num to select> Specify number of attributes to select
- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classCheckScheme
- Parameters:
options
- the list of options as an array of strings- Throws:
java.lang.Exception
- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the CheckAttributeSelection.- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classCheckScheme
- Returns:
- an array of strings suitable for passing to setOptions
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doTests
public void doTests()
Begin the tests, reporting results to System.out- Specified by:
doTests
in classCheckScheme
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setEvaluator
public void setEvaluator(ASEvaluation value)
Set the evaluator to test.- Parameters:
value
- the evaluator to use.
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getEvaluator
public ASEvaluation getEvaluator()
Get the current evaluator- Returns:
- the current evaluator
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setSearch
public void setSearch(ASSearch value)
Set the search method to test.- Parameters:
value
- the search method to use.
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getSearch
public ASSearch getSearch()
Get the current search method- Returns:
- the current search method
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setTestEvaluator
public void setTestEvaluator(boolean value)
Sets whether the evaluator or the search method is being tested.- Parameters:
value
- if true then the evaluator will be tested
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getTestEvaluator
public boolean getTestEvaluator()
Gets whether the evaluator is being tested or the search method.- Returns:
- true if the evaluator is being tested
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Returns:
- the revision
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main
public static void main(java.lang.String[] args)
Test method for this class- Parameters:
args
- the commandline parameters
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