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Java Source Code / Java Documentation » Science » weka » weka.classifiers.functions 
Source Cross Reference  Class Diagram Java Document (Java Doc) 


java.lang.Object
   weka.classifiers.Classifier
      weka.classifiers.functions.SimpleLinearRegression

SimpleLinearRegression
public class SimpleLinearRegression extends Classifier implements WeightedInstancesHandler(Code)
Learns a simple linear regression model. Picks the attribute that results in the lowest squared error. Missing values are not allowed. Can only deal with numeric attributes.

Valid options are:

 -D
 If set, classifier is run in debug mode and
 may output additional info to the console

author:
   Eibe Frank (eibe@cs.waikato.ac.nz)
version:
   $Revision: 1.9 $


Field Summary
final static  longserialVersionUID
    


Method Summary
public  voidbuildClassifier(Instances insts)
     Builds a simple linear regression model given the supplied training data.
public  doubleclassifyInstance(Instance inst)
     Generate a prediction for the supplied instance.
Parameters:
  inst - the instance to predict.
public  booleanfoundUsefulAttribute()
     Returns true if a usable attribute was found.
public  intgetAttributeIndex()
     Returns the index of the attribute used in the regression.
public  CapabilitiesgetCapabilities()
     Returns default capabilities of the classifier.
public  doublegetIntercept()
     Returns the intercept of the function.
public  doublegetSlope()
     Returns the slope of the function.
public  StringglobalInfo()
    
public static  voidmain(String[] argv)
    
public  voidsetSuppressErrorMessage(boolean s)
     Turn off the error message that is reported when no useful attribute is found.
public  StringtoString()
    

Field Detail
serialVersionUID
final static long serialVersionUID(Code)
for serialization





Method Detail
buildClassifier
public void buildClassifier(Instances insts) throws Exception(Code)
Builds a simple linear regression model given the supplied training data.
Parameters:
  insts - the training data.
throws:
  Exception - if an error occurs



classifyInstance
public double classifyInstance(Instance inst) throws Exception(Code)
Generate a prediction for the supplied instance.
Parameters:
  inst - the instance to predict. the prediction
throws:
  Exception - if an error occurs



foundUsefulAttribute
public boolean foundUsefulAttribute()(Code)
Returns true if a usable attribute was found. true if a usable attribute was found.



getAttributeIndex
public int getAttributeIndex()(Code)
Returns the index of the attribute used in the regression. the index of the attribute.



getCapabilities
public Capabilities getCapabilities()(Code)
Returns default capabilities of the classifier. the capabilities of this classifier



getIntercept
public double getIntercept()(Code)
Returns the intercept of the function. the intercept.



getSlope
public double getSlope()(Code)
Returns the slope of the function. the slope.



globalInfo
public String globalInfo()(Code)
Returns a string describing this classifier a description of the classifier suitable fordisplaying in the explorer/experimenter gui



main
public static void main(String[] argv)(Code)
Main method for testing this class
Parameters:
  argv - options



setSuppressErrorMessage
public void setSuppressErrorMessage(boolean s)(Code)
Turn off the error message that is reported when no useful attribute is found.
Parameters:
  s - if set to true turns off the error message



toString
public String toString()(Code)
Returns a description of this classifier as a string a description of the classifier.



Fields inherited from weka.classifiers.Classifier
protected boolean m_Debug(Code)(Java Doc)

Methods inherited from weka.classifiers.Classifier
abstract public void buildClassifier(Instances data) throws Exception(Code)(Java Doc)
public double classifyInstance(Instance instance) throws Exception(Code)(Java Doc)
public String debugTipText()(Code)(Java Doc)
public double[] distributionForInstance(Instance instance) throws Exception(Code)(Java Doc)
public static Classifier forName(String classifierName, String[] options) throws Exception(Code)(Java Doc)
public Capabilities getCapabilities()(Code)(Java Doc)
public boolean getDebug()(Code)(Java Doc)
public String[] getOptions()(Code)(Java Doc)
public Enumeration listOptions()(Code)(Java Doc)
public static Classifier[] makeCopies(Classifier model, int num) throws Exception(Code)(Java Doc)
public static Classifier makeCopy(Classifier model) throws Exception(Code)(Java Doc)
protected static void runClassifier(Classifier classifier, String[] options)(Code)(Java Doc)
public void setDebug(boolean debug)(Code)(Java Doc)
public void setOptions(String[] options) throws Exception(Code)(Java Doc)

Methods inherited from java.lang.Object
native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc)
public boolean equals(Object obj)(Code)(Java Doc)
protected void finalize() throws Throwable(Code)(Java Doc)
final native public Class getClass()(Code)(Java Doc)
native public int hashCode()(Code)(Java Doc)
final native public void notify()(Code)(Java Doc)
final native public void notifyAll()(Code)(Java Doc)
public String toString()(Code)(Java Doc)
final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc)
final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc)
final public void wait() throws InterruptedException(Code)(Java Doc)

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