类 MDD
java.lang.Object
weka.classifiers.Classifier
weka.classifiers.mi.MDD
- 所有已实现的接口:
Serializable
,Cloneable
,CapabilitiesHandler
,MultiInstanceCapabilitiesHandler
,OptionHandler
,RevisionHandler
,TechnicalInformationHandler
public class MDD
extends Classifier
implements OptionHandler, MultiInstanceCapabilitiesHandler, TechnicalInformationHandler
Modified Diverse Density algorithm, with collective assumption.
More information about DD:
Oded Maron (1998). Learning from ambiguity.
O. Maron, T. Lozano-Perez (1998). A Framework for Multiple Instance Learning. Neural Information Processing Systems. 10. BibTeX:
More information about DD:
Oded Maron (1998). Learning from ambiguity.
O. Maron, T. Lozano-Perez (1998). A Framework for Multiple Instance Learning. Neural Information Processing Systems. 10. BibTeX:
@phdthesis{Maron1998, author = {Oded Maron}, school = {Massachusetts Institute of Technology}, title = {Learning from ambiguity}, year = {1998} } @article{Maron1998, author = {O. Maron and T. Lozano-Perez}, journal = {Neural Information Processing Systems}, title = {A Framework for Multiple Instance Learning}, volume = {10}, year = {1998} }Valid options are:
-D Turn on debugging output.
-N <num> Whether to 0=normalize/1=standardize/2=neither. (default 1=standardize)
- 版本:
- $Revision: 9144 $
- 作者:
- Eibe Frank (eibe@cs.waikato.ac.nz), Xin Xu (xx5@cs.waikato.ac.nz)
- 另请参阅:
-
字段概要
字段修饰符和类型字段说明static final int
No normalization/standardizationstatic final int
Normalize training datastatic final int
Standardize training datastatic final Tag[]
The filter to apply to the training data -
构造器概要
构造器 -
方法概要
修饰符和类型方法说明void
buildClassifier
(Instances train) Builds the classifierdouble[]
Computes the distribution for a given exemplarReturns the tip text for this propertyReturns default capabilities of the classifier.Gets how the training data will be transformed.Returns the capabilities of this multi-instance classifier for the relational data.String[]
Gets the current settings of the classifier.Returns the revision string.Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.Returns a string describing this filterReturns an enumeration describing the available optionsstatic void
Main method for testing this class.void
setFilterType
(SelectedTag newType) Sets how the training data will be transformed.void
setOptions
(String[] options) Parses a given list of options.toString()
Gets a string describing the classifier.从类继承的方法 weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
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字段详细资料
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FILTER_NORMALIZE
public static final int FILTER_NORMALIZENormalize training data- 另请参阅:
-
FILTER_STANDARDIZE
public static final int FILTER_STANDARDIZEStandardize training data- 另请参阅:
-
FILTER_NONE
public static final int FILTER_NONENo normalization/standardization- 另请参阅:
-
TAGS_FILTER
The filter to apply to the training data
-
-
构造器详细资料
-
MDD
public MDD()
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-
方法详细资料
-
globalInfo
Returns a string describing this filter- 返回:
- a description of the filter suitable for displaying in the explorer/experimenter gui
-
getTechnicalInformation
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.- 指定者:
getTechnicalInformation
在接口中TechnicalInformationHandler
- 返回:
- the technical information about this class
-
listOptions
Returns an enumeration describing the available options- 指定者:
listOptions
在接口中OptionHandler
- 覆盖:
listOptions
在类中Classifier
- 返回:
- an enumeration of all the available options
-
setOptions
Parses a given list of options.- 指定者:
setOptions
在接口中OptionHandler
- 覆盖:
setOptions
在类中Classifier
- 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 classifier.- 指定者:
getOptions
在接口中OptionHandler
- 覆盖:
getOptions
在类中Classifier
- 返回:
- an array of strings suitable for passing to setOptions
-
filterTypeTipText
Returns the tip text for this property- 返回:
- tip text for this property suitable for displaying in the explorer/experimenter gui
-
getFilterType
Gets how the training data will be transformed. Will be one of FILTER_NORMALIZE, FILTER_STANDARDIZE, FILTER_NONE.- 返回:
- the filtering mode
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setFilterType
Sets how the training data will be transformed. Should be one of FILTER_NORMALIZE, FILTER_STANDARDIZE, FILTER_NONE.- 参数:
newType
- the new filtering mode
-
getCapabilities
Returns default capabilities of the classifier.- 指定者:
getCapabilities
在接口中CapabilitiesHandler
- 覆盖:
getCapabilities
在类中Classifier
- 返回:
- the capabilities of this classifier
- 另请参阅:
-
getMultiInstanceCapabilities
Returns the capabilities of this multi-instance classifier for the relational data.- 指定者:
getMultiInstanceCapabilities
在接口中MultiInstanceCapabilitiesHandler
- 返回:
- the capabilities of this object
- 另请参阅:
-
buildClassifier
Builds the classifier- 指定者:
buildClassifier
在类中Classifier
- 参数:
train
- the training data to be used for generating the boosted classifier.- 抛出:
Exception
- if the classifier could not be built successfully
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distributionForInstance
Computes the distribution for a given exemplar- 覆盖:
distributionForInstance
在类中Classifier
- 参数:
exmp
- the exemplar for which distribution is computed- 返回:
- the distribution
- 抛出:
Exception
- if the distribution can't be computed successfully
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toString
Gets a string describing the classifier. -
getRevision
Returns the revision string.- 指定者:
getRevision
在接口中RevisionHandler
- 覆盖:
getRevision
在类中Classifier
- 返回:
- the revision
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main
Main method for testing this class.- 参数:
argv
- should contain the command line arguments to the scheme (see Evaluation)
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