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Class weka.classifiers.functions.SimpleLinearRegression 

java.lang.Object
    |
    +----weka.classifiers.Classifier
            |
            +----weka.classifiers.functions.SimpleLinearRegression
public class SimpleLinearRegression
extends Classifier
implements WeightedInstancesHandler
Class for learning 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.

Version:
$Revision: 1.2 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)

Constructor Index

o SimpleLinearRegression()
 

Method Index

o buildClassifier(Instances)
 
o classifyInstance(Instance)
 
o main(String[])
Main method for testing this class
o toString()
 

Constructor Detail

o SimpleLinearRegression
public SimpleLinearRegression()

Method Detail

o classifyInstance
public double classifyInstance(Instance inst) throws java.lang.Exception
Overrides:
classifyInstance in class Classifier
o buildClassifier
public void buildClassifier(Instances insts) throws java.lang.Exception
Overrides:
buildClassifier in class Classifier
o toString
public java.lang.String toString()
Overrides:
toString in class java.lang.Object
o main
public static void main(java.lang.String argv[])
          Main method for testing this class
Parameters:
argv - options 
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