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B
bagSizePercentTipText()
- Method in class weka.classifiers.meta.
MetaCost
Returns the tip text for this property
buildClassifier(Instances)
- Method in class weka.classifiers.meta.
MetaCost
Builds the model of the base learner.
C
costMatrixSourceTipText()
- Method in class weka.classifiers.meta.
MetaCost
Returns the tip text for this property
costMatrixTipText()
- Method in class weka.classifiers.meta.
MetaCost
Returns the tip text for this property
D
distributionForInstance(Instance)
- Method in class weka.classifiers.meta.
MetaCost
Classifies a given instance after filtering.
G
getBagSizePercent()
- Method in class weka.classifiers.meta.
MetaCost
Gets the size of each bag, as a percentage of the training set size.
getCapabilities()
- Method in class weka.classifiers.meta.
MetaCost
Returns default capabilities of the classifier.
getCostMatrix()
- Method in class weka.classifiers.meta.
MetaCost
Gets the misclassification cost matrix.
getCostMatrixSource()
- Method in class weka.classifiers.meta.
MetaCost
Gets the source location method of the cost matrix.
getNumIterations()
- Method in class weka.classifiers.meta.
MetaCost
Gets the number of bagging iterations
getOnDemandDirectory()
- Method in class weka.classifiers.meta.
MetaCost
Returns the directory that will be searched for cost files when loading on demand.
getOptions()
- Method in class weka.classifiers.meta.
MetaCost
Gets the current settings of the Classifier.
getRevision()
- Method in class weka.classifiers.meta.
MetaCost
Returns the revision string.
getTechnicalInformation()
- Method in class weka.classifiers.meta.
MetaCost
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.
globalInfo()
- Method in class weka.classifiers.meta.
MetaCost
Returns a string describing classifier
L
listOptions()
- Method in class weka.classifiers.meta.
MetaCost
Returns an enumeration describing the available options.
M
main(String[])
- Static method in class weka.classifiers.meta.
MetaCost
Main method for testing this class.
MATRIX_ON_DEMAND
- Static variable in class weka.classifiers.meta.
MetaCost
load cost matrix on demand
MATRIX_SUPPLIED
- Static variable in class weka.classifiers.meta.
MetaCost
use explicit matrix
MetaCost
- Class in
weka.classifiers.meta
This metaclassifier makes its base classifier cost-sensitive using the method specified in
Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive.
MetaCost()
- Constructor for class weka.classifiers.meta.
MetaCost
N
numIterationsTipText()
- Method in class weka.classifiers.meta.
MetaCost
Returns the tip text for this property
O
onDemandDirectoryTipText()
- Method in class weka.classifiers.meta.
MetaCost
Returns the tip text for this property
S
setBagSizePercent(int)
- Method in class weka.classifiers.meta.
MetaCost
Sets the size of each bag, as a percentage of the training set size.
setCostMatrix(CostMatrix)
- Method in class weka.classifiers.meta.
MetaCost
Sets the misclassification cost matrix.
setCostMatrixSource(SelectedTag)
- Method in class weka.classifiers.meta.
MetaCost
Sets the source location of the cost matrix.
setNumIterations(int)
- Method in class weka.classifiers.meta.
MetaCost
Sets the number of bagging iterations
setOnDemandDirectory(File)
- Method in class weka.classifiers.meta.
MetaCost
Sets the directory that will be searched for cost files when loading on demand.
setOptions(String[])
- Method in class weka.classifiers.meta.
MetaCost
Parses a given list of options.
T
TAGS_MATRIX_SOURCE
- Static variable in class weka.classifiers.meta.
MetaCost
Specify possible sources of the cost matrix
toString()
- Method in class weka.classifiers.meta.
MetaCost
Output a representation of this classifier
W
weka.classifiers.meta
- package weka.classifiers.meta
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