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A
alphaTipText()
- Method in class weka.classifiers.functions.
Winnow
Returns the tip text for this property
B
balancedTipText()
- Method in class weka.classifiers.functions.
Winnow
Returns the tip text for this property
betaTipText()
- Method in class weka.classifiers.functions.
Winnow
Returns the tip text for this property
buildClassifier(Instances)
- Method in class weka.classifiers.functions.
Winnow
Builds the classifier
C
classifyInstance(Instance)
- Method in class weka.classifiers.functions.
Winnow
Outputs the prediction for the given instance.
D
defaultWeightTipText()
- Method in class weka.classifiers.functions.
Winnow
Returns the tip text for this property
G
getAlpha()
- Method in class weka.classifiers.functions.
Winnow
Get the value of Alpha.
getBalanced()
- Method in class weka.classifiers.functions.
Winnow
Get the value of Balanced.
getBeta()
- Method in class weka.classifiers.functions.
Winnow
Get the value of Beta.
getCapabilities()
- Method in class weka.classifiers.functions.
Winnow
Returns default capabilities of the classifier.
getDefaultWeight()
- Method in class weka.classifiers.functions.
Winnow
Get the value of defaultWeight.
getNumIterations()
- Method in class weka.classifiers.functions.
Winnow
Get the value of numIterations.
getOptions()
- Method in class weka.classifiers.functions.
Winnow
Gets the current settings of the classifier.
getRevision()
- Method in class weka.classifiers.functions.
Winnow
Returns the revision string.
getSeed()
- Method in class weka.classifiers.functions.
Winnow
Get the value of Seed.
getTechnicalInformation()
- Method in class weka.classifiers.functions.
Winnow
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.
getThreshold()
- Method in class weka.classifiers.functions.
Winnow
Get the value of Threshold.
globalInfo()
- Method in class weka.classifiers.functions.
Winnow
Returns a string describing classifier
L
listOptions()
- Method in class weka.classifiers.functions.
Winnow
Returns an enumeration describing the available options
M
main(String[])
- Static method in class weka.classifiers.functions.
Winnow
Main method.
N
numIterationsTipText()
- Method in class weka.classifiers.functions.
Winnow
Returns the tip text for this property
S
seedTipText()
- Method in class weka.classifiers.functions.
Winnow
Returns the tip text for this property
setAlpha(double)
- Method in class weka.classifiers.functions.
Winnow
Set the value of Alpha.
setBalanced(boolean)
- Method in class weka.classifiers.functions.
Winnow
Set the value of Balanced.
setBeta(double)
- Method in class weka.classifiers.functions.
Winnow
Set the value of Beta.
setDefaultWeight(double)
- Method in class weka.classifiers.functions.
Winnow
Set the value of defaultWeight.
setNumIterations(int)
- Method in class weka.classifiers.functions.
Winnow
Set the value of numIterations.
setOptions(String[])
- Method in class weka.classifiers.functions.
Winnow
Parses a given list of options.
Valid options are:
setSeed(int)
- Method in class weka.classifiers.functions.
Winnow
Set the value of Seed.
setThreshold(double)
- Method in class weka.classifiers.functions.
Winnow
Set the value of Threshold.
T
thresholdTipText()
- Method in class weka.classifiers.functions.
Winnow
Returns the tip text for this property
toString()
- Method in class weka.classifiers.functions.
Winnow
Returns textual description of the classifier.
U
updateClassifier(Instance)
- Method in class weka.classifiers.functions.
Winnow
Updates the classifier with a new learning example
W
weka.classifiers.functions
- package weka.classifiers.functions
Winnow
- Class in
weka.classifiers.functions
Implements Winnow and Balanced Winnow algorithms by Littlestone.
For more information, see
N.
Winnow()
- Constructor for class weka.classifiers.functions.
Winnow
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