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B
biasTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
buildClassifier(Instances)
- Method in class weka.classifiers.functions.
LibLINEAR
builds the classifier
C
convertNominalToBinaryTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
costTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
D
distributionForInstance(Instance)
- Method in class weka.classifiers.functions.
LibLINEAR
Computes the distribution for a given instance.
doNotReplaceMissingValuesTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
E
epsTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
G
getBias()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns bias term value (default 1) No bias term is added if value < 0
getCapabilities()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns default capabilities of the classifier.
getConvertNominalToBinary()
- Method in class weka.classifiers.functions.
LibLINEAR
Gets whether conversion of nominal to binary is turned on.
getCost()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the cost parameter C
getDoNotReplaceMissingValues()
- Method in class weka.classifiers.functions.
LibLINEAR
Gets whether automatic replacement of missing values is disabled.
getEps()
- Method in class weka.classifiers.functions.
LibLINEAR
Gets tolerance of termination criterion
getModel()
- Method in class weka.classifiers.functions.
LibLINEAR
getNormalize()
- Method in class weka.classifiers.functions.
LibLINEAR
whether to normalize input data
getOptions()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the current options
getProbabilityEstimates()
- Method in class weka.classifiers.functions.
LibLINEAR
Sets whether to generate probability estimates instead of -1/+1 for classification problems.
getRevision()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the revision string.
getSVMType()
- Method in class weka.classifiers.functions.
LibLINEAR
Gets type of SVM
getTechnicalInformation()
- Method in class weka.classifiers.functions.
LibLINEAR
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.
getWeights()
- Method in class weka.classifiers.functions.
LibLINEAR
Gets the parameters C of class i to weight[i]*C (default 1).
globalInfo()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns a string describing classifier
L
LibLINEAR
- Class in
weka.classifiers.functions
A wrapper class for the liblinear classifier.
LibLINEAR()
- Constructor for class weka.classifiers.functions.
LibLINEAR
listOptions()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns an enumeration describing the available options.
M
main(String[])
- Static method in class weka.classifiers.functions.
LibLINEAR
Main method for testing this class.
N
normalizeTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
P
probabilityEstimatesTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
R
REVISION
- Static variable in class weka.classifiers.functions.
LibLINEAR
S
setBias(double)
- Method in class weka.classifiers.functions.
LibLINEAR
Sets bias term value (default 1) No bias term is added if value < 0
setConvertNominalToBinary(boolean)
- Method in class weka.classifiers.functions.
LibLINEAR
Whether to turn on conversion of nominal attributes to binary.
setCost(double)
- Method in class weka.classifiers.functions.
LibLINEAR
Sets the cost parameter C (default 1)
setDoNotReplaceMissingValues(boolean)
- Method in class weka.classifiers.functions.
LibLINEAR
Whether to turn off automatic replacement of missing values.
setEps(double)
- Method in class weka.classifiers.functions.
LibLINEAR
Sets tolerance of termination criterion (default 0.001)
setNormalize(boolean)
- Method in class weka.classifiers.functions.
LibLINEAR
whether to normalize input data
setOptions(String[])
- Method in class weka.classifiers.functions.
LibLINEAR
Sets the classifier options
setProbabilityEstimates(boolean)
- Method in class weka.classifiers.functions.
LibLINEAR
Returns whether probability estimates are generated instead of -1/+1 for classification problems.
setSVMType(SelectedTag)
- Method in class weka.classifiers.functions.
LibLINEAR
Sets type of SVM (default SVMTYPE_L2)
setWeights(String)
- Method in class weka.classifiers.functions.
LibLINEAR
Sets the parameters C of class i to weight[i]*C (default 1).
SVMTypeTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
T
TAGS_SVMTYPE
- Static variable in class weka.classifiers.functions.
LibLINEAR
SVM solver types
toString()
- Method in class weka.classifiers.functions.
LibLINEAR
returns a string representation
W
weightsTipText()
- Method in class weka.classifiers.functions.
LibLINEAR
Returns the tip text for this property
weka.classifiers.functions
- package weka.classifiers.functions
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