Package weka.classifiers
Class CheckClassifier
- java.lang.Object
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- weka.core.Check
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- weka.core.CheckScheme
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- weka.classifiers.CheckClassifier
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- All Implemented Interfaces:
OptionHandler
,RevisionHandler
public class CheckClassifier extends CheckScheme
Class for examining the capabilities and finding problems with classifiers. If you implement a classifier 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 classifier don't exist, but this will help find some common ones. Typical usage:java weka.classifiers.CheckClassifier -W classifier_name classifier_options
CheckClassifier reports on the following:- Classifier abilities
- Possible command line options to the classifier
- Whether the classifier can predict nominal, numeric, string, date or relational class attributes. Warnings will be displayed if performance is worse than ZeroR
- Whether the classifier can be trained incrementally
- Whether the classifier can handle numeric predictor attributes
- Whether the classifier can handle nominal predictor attributes
- Whether the classifier can handle string predictor attributes
- Whether the classifier can handle date predictor attributes
- Whether the classifier can handle relational predictor attributes
- Whether the classifier can handle multi-instance data
- Whether the classifier can handle missing predictor values
- Whether the classifier can handle missing class values
- Whether a nominal classifier only handles 2 class problems
- Whether the classifier can handle instance weights
- Correct functioning
- Correct initialisation during buildClassifier (i.e. no result changes when buildClassifier called repeatedly)
- Whether incremental training produces the same results as during non-incremental training (which may or may not be OK)
- Whether the classifier alters the data pased to it (number of instances, instance order, instance weights, etc)
- Whether the toString() method works correctly before the classifier has been built.
- Degenerate cases
- building classifier with zero training instances
- all but one predictor attribute values missing
- all predictor attribute values missing
- all but one class values missing
- all class values missing
weka.classifiers.AbstractClassifierTest
uses this class to test all the classifiers. 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.
-W Full name of the classifier analysed. eg: weka.classifiers.bayes.NaiveBayes (default weka.classifiers.rules.ZeroR)
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
Options after -- are passed to the designated classifier.- Version:
- $Revision: 1.33 $
- 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 CheckClassifier()
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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.outClassifier
getClassifier()
Get the classifier used as the classifierjava.lang.String[]
getOptions()
Gets the current settings of the CheckClassifier.java.lang.String
getRevision()
Returns the revision string.java.util.Enumeration
listOptions()
Returns an enumeration describing the available options.static void
main(java.lang.String[] args)
Test method for this classvoid
setClassifier(Classifier newClassifier)
Set the classifier for boosting.void
setOptions(java.lang.String[] options)
Parses a given list of options.-
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.
-W Full name of the classifier analysed. eg: weka.classifiers.bayes.NaiveBayes (default weka.classifiers.rules.ZeroR)
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
- 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 CheckClassifier.- 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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setClassifier
public void setClassifier(Classifier newClassifier)
Set the classifier for boosting.- Parameters:
newClassifier
- the Classifier to use.
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getClassifier
public Classifier getClassifier()
Get the classifier used as the classifier- Returns:
- the classifier used as the classifier
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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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