程序包 weka.classifiers
类 CheckClassifier
java.lang.Object
weka.core.Check
weka.core.CheckScheme
weka.classifiers.CheckClassifier
- 所有已实现的接口:
OptionHandler
,RevisionHandler
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 consoleOptions after -- are passed to the designated classifier.
- 版本:
- $Revision: 1.33 $
- 作者:
- Len Trigg (trigg@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)
- 另请参阅:
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嵌套类概要
从类继承的嵌套类/接口 weka.core.CheckScheme
CheckScheme.PostProcessor
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构造器概要
构造器 -
方法概要
修饰符和类型方法说明void
doTests()
Begin the tests, reporting results to System.outGet the classifier used as the classifierString[]
Gets the current settings of the CheckClassifier.Returns the revision string.Returns an enumeration describing the available options.static void
Test method for this classvoid
setClassifier
(Classifier newClassifier) Set the classifier for boosting.void
setOptions
(String[] options) Parses a given list of options.从类继承的方法 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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构造器详细资料
-
CheckClassifier
public CheckClassifier()
-
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方法详细资料
-
listOptions
Returns an enumeration describing the available options.- 指定者:
listOptions
在接口中OptionHandler
- 覆盖:
listOptions
在类中CheckScheme
- 返回:
- an enumeration of all the available options.
-
setOptions
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
- 指定者:
setOptions
在接口中OptionHandler
- 覆盖:
setOptions
在类中CheckScheme
- 参数:
options
- the list of options as an array of strings- 抛出:
Exception
- if an option is not supported
-
getOptions
Gets the current settings of the CheckClassifier.- 指定者:
getOptions
在接口中OptionHandler
- 覆盖:
getOptions
在类中CheckScheme
- 返回:
- 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- 指定者:
doTests
在类中CheckScheme
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setClassifier
Set the classifier for boosting.- 参数:
newClassifier
- the Classifier to use.
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getClassifier
Get the classifier used as the classifier- 返回:
- the classifier used as the classifier
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getRevision
Returns the revision string.- 返回:
- the revision
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main
Test method for this class- 参数:
args
- the commandline parameters
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