public class MIBoost extends SingleClassifierEnhancer implements OptionHandler, MultiInstanceCapabilitiesHandler, TechnicalInformationHandler
@inproceedings{Freund1996, address = {San Francisco}, author = {Yoav Freund and Robert E. Schapire}, booktitle = {Thirteenth International Conference on Machine Learning}, pages = {148-156}, publisher = {Morgan Kaufmann}, title = {Experiments with a new boosting algorithm}, year = {1996} }Valid options are:
-D Turn on debugging output.
-B <num> The number of bins in discretization (default 0, no discretization)
-R <num> Maximum number of boost iterations. (default 10)
-W <class name> Full name of classifier to boost. eg: weka.classifiers.bayes.NaiveBayes
-D If set, classifier is run in debug mode and may output additional info to the console
Constructor and Description |
---|
MIBoost() |
Modifier and Type | Method and Description |
---|---|
void |
buildClassifier(Instances exps)
Builds the classifier
|
java.lang.String |
discretizeBinTipText()
Returns the tip text for this property
|
double[] |
distributionForInstance(Instance exmp)
Computes the distribution for a given exemplar
|
Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
|
int |
getDiscretizeBin()
Get the number of bins in discretization
|
int |
getMaxIterations()
Get the maximum number of boost iterations
|
Capabilities |
getMultiInstanceCapabilities()
Returns the capabilities of this multi-instance classifier for the
relational data.
|
java.lang.String[] |
getOptions()
Gets the current settings of the classifier.
|
java.lang.String |
getRevision()
Returns the revision string.
|
TechnicalInformation |
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.
|
java.lang.String |
globalInfo()
Returns a string describing this filter
|
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options
|
static void |
main(java.lang.String[] argv)
Main method for testing this class.
|
java.lang.String |
maxIterationsTipText()
Returns the tip text for this property
|
void |
setDiscretizeBin(int bin)
Set the number of bins in discretization
|
void |
setMaxIterations(int maxIterations)
Set the maximum number of boost iterations
|
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
|
java.lang.String |
toString()
Gets a string describing the classifier.
|
classifierTipText, getClassifier, setClassifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class SingleClassifierEnhancer
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-D Turn on debugging output.
-B <num> The number of bins in discretization (default 0, no discretization)
-R <num> Maximum number of boost iterations. (default 10)
-W <class name> Full name of classifier to boost. eg: weka.classifiers.bayes.NaiveBayes
-D If set, classifier is run in debug mode and may output additional info to the console
setOptions
in interface OptionHandler
setOptions
in class SingleClassifierEnhancer
options
- the list of options as an array of stringsjava.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class SingleClassifierEnhancer
public java.lang.String maxIterationsTipText()
public void setMaxIterations(int maxIterations)
maxIterations
- the maximum number of boost iterationspublic int getMaxIterations()
public java.lang.String discretizeBinTipText()
public void setDiscretizeBin(int bin)
bin
- the number of bins in discretizationpublic int getDiscretizeBin()
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class SingleClassifierEnhancer
Capabilities
public Capabilities getMultiInstanceCapabilities()
getMultiInstanceCapabilities
in interface MultiInstanceCapabilitiesHandler
Capabilities
public void buildClassifier(Instances exps) throws java.lang.Exception
buildClassifier
in class Classifier
exps
- the training data to be used for generating the
boosted classifier.java.lang.Exception
- if the classifier could not be built successfullypublic double[] distributionForInstance(Instance exmp) throws java.lang.Exception
distributionForInstance
in class Classifier
exmp
- the exemplar for which distribution is computedjava.lang.Exception
- if the distribution can't be computed successfullypublic java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Classifier
public static void main(java.lang.String[] argv)
argv
- should contain the command line arguments to the
scheme (see Evaluation)