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


java.lang.Object
   weka.estimators.EstimatorUtils

EstimatorUtils
public class EstimatorUtils (Code)
Contains static utility functions for Estimators.


author:
   Gabi Schmidberger (gabi@cs.waikato.ac.nz)
version:
   $Revision: 1.3 $





Method Summary
public static  StringcutpointsToString(double[] cutPoints, boolean[] cutAndLeft)
    
public static  doublefindMinDistance(Instances inst, int attrIndex)
    
public static  VectorgetInstancesFromClass(Instances data, int attrIndex, int classIndex, double classValue, Instances workData)
     Returns a dataset that contains all instances of a certain class value.
public static  InstancesgetInstancesFromClass(Instances data, int classIndex, double classValue)
     Returns a dataset that contains of all instances of a certain class value.
public static  InstancesgetInstancesFromValue(Instances data, int index, double v)
     Returns a dataset that contains of all instances of a certain value for the given attribute.
public static  intgetMinMax(Instances inst, int attrIndex, double[] minMax)
     Find the minimum and the maximum of the attribute and return it in the last parameter..
public static  voidwriteCurve(String f, Estimator est, double min, double max, int numPoints)
     Output of an n points of a density curve.
public static  voidwriteCurve(String f, Estimator est, Estimator classEst, double classIndex, double min, double max, int numPoints)
     Output of an n points of a density curve.



Method Detail
cutpointsToString
public static String cutpointsToString(double[] cutPoints, boolean[] cutAndLeft)(Code)
Returns a string representing the cutpoints



findMinDistance
public static double findMinDistance(Instances inst, int attrIndex)(Code)
Find the minimum distance between values
Parameters:
  inst - sorted instances, sorted
Parameters:
  attrIndex - index of the attribute, they are sorted after the minimal distance



getInstancesFromClass
public static Vector getInstancesFromClass(Instances data, int attrIndex, int classIndex, double classValue, Instances workData)(Code)
Returns a dataset that contains all instances of a certain class value.
Parameters:
  data - dataset to select the instances from
Parameters:
  attrIndex - index of the relevant attribute
Parameters:
  classIndex - index of the class attribute
Parameters:
  classValue - the relevant class value a dataset with only



getInstancesFromClass
public static Instances getInstancesFromClass(Instances data, int classIndex, double classValue)(Code)
Returns a dataset that contains of all instances of a certain class value.
Parameters:
  data - dataset to select the instances from
Parameters:
  classIndex - index of the class attribute
Parameters:
  classValue - the class value a dataset with only instances of one class value



getInstancesFromValue
public static Instances getInstancesFromValue(Instances data, int index, double v)(Code)
Returns a dataset that contains of all instances of a certain value for the given attribute.
Parameters:
  data - dataset to select the instances from
Parameters:
  index - the index of the attribute
Parameters:
  v - the value a subdataset with only instances of one value for the attribute



getMinMax
public static int getMinMax(Instances inst, int attrIndex, double[] minMax) throws Exception(Code)
Find the minimum and the maximum of the attribute and return it in the last parameter..
Parameters:
  inst - instances used to build the estimator
Parameters:
  attrIndex - index of the attribute
Parameters:
  minMax - the array to return minimum and maximum in number of not missing values
exception:
  Exception - if parameter minMax wasn't initialized properly



writeCurve
public static void writeCurve(String f, Estimator est, double min, double max, int numPoints) throws Exception(Code)
Output of an n points of a density curve. Filename is parameter f + ".curv".
Parameters:
  f - string to build filename
Parameters:
  est -
Parameters:
  min -
Parameters:
  max -
Parameters:
  numPoints -
throws:
  Exception - if something goes wrong



writeCurve
public static void writeCurve(String f, Estimator est, Estimator classEst, double classIndex, double min, double max, int numPoints) throws Exception(Code)
Output of an n points of a density curve. Filename is parameter f + ".curv".
Parameters:
  f - string to build filename
Parameters:
  est -
Parameters:
  classEst -
Parameters:
  classIndex -
Parameters:
  min -
Parameters:
  max -
Parameters:
  numPoints -
throws:
  Exception - if something goes wrong



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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