public class MultiClassClassifier extends RandomizableSingleClassifierEnhancer implements OptionHandler
-M <num> Sets the method to use. Valid values are 0 (1-against-all), 1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0)
-R <num> Sets the multiplier when using random codes. (default 2.0)
-P Use pairwise coupling (only has an effect for 1-against1)
-S <num> Random number seed. (default 1)
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of base classifier. (default: weka.classifiers.functions.Logistic)
Options specific to classifier weka.classifiers.functions.Logistic:
-D Turn on debugging output.
-R <ridge> Set the ridge in the log-likelihood.
-M <number> Set the maximum number of iterations (default -1, until convergence).
Modifier and Type | Field and Description |
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static int |
METHOD_1_AGAINST_1
1-against-1
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static int |
METHOD_1_AGAINST_ALL
1-against-all
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static int |
METHOD_ERROR_EXHAUSTIVE
exhaustive correction code
|
static int |
METHOD_ERROR_RANDOM
random correction code
|
static Tag[] |
TAGS_METHOD
The error correction modes
|
m_Seed
m_Classifier
m_Debug
Constructor and Description |
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MultiClassClassifier()
Constructor.
|
Modifier and Type | Method and Description |
---|---|
void |
buildClassifier(Instances insts)
Builds the classifiers.
|
protected String |
defaultClassifierString()
String describing default classifier.
|
double[] |
distributionForInstance(Instance inst)
Returns the distribution for an instance.
|
Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
|
SelectedTag |
getMethod()
Gets the method used.
|
String[] |
getOptions()
Gets the current settings of the Classifier.
|
double |
getRandomWidthFactor()
Gets the multiplier when generating random codes.
|
String |
getRevision()
Returns the revision string.
|
boolean |
getUsePairwiseCoupling()
Gets whether to use pairwise coupling with 1-vs-1
classification to improve probability estimates.
|
String |
globalInfo() |
double[] |
individualPredictions(Instance inst)
Returns the individual predictions of the base classifiers
for an instance.
|
Enumeration |
listOptions()
Returns an enumeration describing the available options
|
static void |
main(String[] argv)
Main method for testing this class.
|
String |
methodTipText() |
static double[] |
pairwiseCoupling(double[][] n,
double[][] r)
Implements pairwise coupling.
|
String |
randomWidthFactorTipText() |
void |
setMethod(SelectedTag newMethod)
Sets the method used.
|
void |
setOptions(String[] options)
Parses a given list of options.
|
void |
setRandomWidthFactor(double newRandomWidthFactor)
Sets the multiplier when generating random codes.
|
void |
setUsePairwiseCoupling(boolean p)
Set whether to use pairwise coupling with 1-vs-1
classification to improve probability estimates.
|
String |
toString()
Prints the classifiers.
|
String |
usePairwiseCouplingTipText() |
getSeed, seedTipText, setSeed
classifierTipText, getClassifier, getClassifierSpec, setClassifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, runClassifier, setDebug
public static final int METHOD_1_AGAINST_ALL
public static final int METHOD_ERROR_RANDOM
public static final int METHOD_ERROR_EXHAUSTIVE
public static final int METHOD_1_AGAINST_1
public static final Tag[] TAGS_METHOD
protected String defaultClassifierString()
defaultClassifierString
in class SingleClassifierEnhancer
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class SingleClassifierEnhancer
Capabilities
public void buildClassifier(Instances insts) throws Exception
buildClassifier
in class Classifier
insts
- the training data.Exception
- if a classifier can't be builtpublic double[] individualPredictions(Instance inst) throws Exception
inst
- the instance to get the prediction forException
- if the predictions can't be computed successfullypublic double[] distributionForInstance(Instance inst) throws Exception
distributionForInstance
in class Classifier
inst
- the instance to get the distribution forException
- if the distribution can't be computed successfullypublic String toString()
public Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class RandomizableSingleClassifierEnhancer
public void setOptions(String[] options) throws Exception
-M <num> Sets the method to use. Valid values are 0 (1-against-all), 1 (random codes), 2 (exhaustive code), and 3 (1-against-1). (default 0)
-R <num> Sets the multiplier when using random codes. (default 2.0)
-P Use pairwise coupling (only has an effect for 1-against1)
-S <num> Random number seed. (default 1)
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of base classifier. (default: weka.classifiers.functions.Logistic)
Options specific to classifier weka.classifiers.functions.Logistic:
-D Turn on debugging output.
-R <ridge> Set the ridge in the log-likelihood.
-M <number> Set the maximum number of iterations (default -1, until convergence).
setOptions
in interface OptionHandler
setOptions
in class RandomizableSingleClassifierEnhancer
options
- the list of options as an array of stringsException
- if an option is not supportedpublic String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class RandomizableSingleClassifierEnhancer
public String globalInfo()
public String randomWidthFactorTipText()
public double getRandomWidthFactor()
public void setRandomWidthFactor(double newRandomWidthFactor)
newRandomWidthFactor
- the new width multiplierpublic String methodTipText()
public SelectedTag getMethod()
public void setMethod(SelectedTag newMethod)
newMethod
- the new method.public void setUsePairwiseCoupling(boolean p)
p
- true if pairwise coupling is to be usedpublic boolean getUsePairwiseCoupling()
public String usePairwiseCouplingTipText()
public static double[] pairwiseCoupling(double[][] n, double[][] r)
n
- the sum of weights used to train each modelr
- the probability estimate from each modelpublic String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Classifier
public static void main(String[] argv)
argv
- the optionsCopyright © 2015 University of Waikato, Hamilton, NZ. All rights reserved.