public class Logistic extends Classifier implements OptionHandler, WeightedInstancesHandler, TechnicalInformationHandler
@article{leCessie1992, author = {le Cessie, S. and van Houwelingen, J.C.}, journal = {Applied Statistics}, number = {1}, pages = {191-201}, title = {Ridge Estimators in Logistic Regression}, volume = {41}, year = {1992} }Valid options are:
-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).
Constructor and Description |
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Logistic() |
Modifier and Type | Method and Description |
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void |
buildClassifier(Instances train)
Builds the classifier
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double[][] |
coefficients()
Returns the coefficients for this logistic model.
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java.lang.String |
debugTipText()
Returns the tip text for this property
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double[] |
distributionForInstance(Instance instance)
Computes the distribution for a given instance
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Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
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boolean |
getDebug()
Gets whether debugging output will be printed.
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int |
getMaxIts()
Get the value of MaxIts.
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java.lang.String[] |
getOptions()
Gets the current settings of the classifier.
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java.lang.String |
getRevision()
Returns the revision string.
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double |
getRidge()
Gets the ridge in the log-likelihood.
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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.
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java.lang.String |
globalInfo()
Returns a string describing this classifier
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java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options
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static void |
main(java.lang.String[] argv)
Main method for testing this class.
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java.lang.String |
maxItsTipText()
Returns the tip text for this property
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java.lang.String |
ridgeTipText()
Returns the tip text for this property
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void |
setDebug(boolean debug)
Sets whether debugging output will be printed.
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void |
setMaxIts(int newMaxIts)
Set the value of MaxIts.
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void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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void |
setRidge(double ridge)
Sets the ridge in the log-likelihood.
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java.lang.String |
toString()
Gets a string describing the classifier.
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classifyInstance, forName, makeCopies, makeCopy
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class Classifier
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-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 Classifier
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 Classifier
public java.lang.String debugTipText()
debugTipText
in class Classifier
public void setDebug(boolean debug)
setDebug
in class Classifier
debug
- true if debugging output should be printedpublic boolean getDebug()
getDebug
in class Classifier
public java.lang.String ridgeTipText()
public void setRidge(double ridge)
ridge
- the ridgepublic double getRidge()
public java.lang.String maxItsTipText()
public int getMaxIts()
public void setMaxIts(int newMaxIts)
newMaxIts
- Value to assign to MaxIts.public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Classifier
Capabilities
public void buildClassifier(Instances train) throws java.lang.Exception
buildClassifier
in class Classifier
train
- 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 instance) throws java.lang.Exception
distributionForInstance
in class Classifier
instance
- the instance for which distribution is computedjava.lang.Exception
- if the distribution can't be computed successfullypublic double[][] coefficients()
public 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)