Package weka.estimators

Class UnivariateEqualFrequencyHistogramEstimator

java.lang.Object
weka.estimators.UnivariateEqualFrequencyHistogramEstimator
All Implemented Interfaces:
Serializable, RevisionHandler, UnivariateDensityEstimator, UnivariateIntervalEstimator, UnivariateQuantileEstimator
public class UnivariateEqualFrequencyHistogramEstimator extends Object implements UnivariateDensityEstimator, UnivariateIntervalEstimator, UnivariateQuantileEstimator, Serializable
Simple histogram density estimator. Uses equal-frequency histograms based on the specified number of bins (default: 10).
Version:
$Revision: 11318 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    static final double
    CONST
    Constant for Gaussian density.

  • Constructor Summary

    Constructors
    Constructor
    Description
    UnivariateEqualFrequencyHistogramEstimator()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    void
    addValue(double value, double weight)
    Adds a value to the density estimator.
    int
    getNumBins()
    Gets the number of bins
    String
    getRevision()
    Returns the revision string.
    boolean
    getUpdateWeightsOnly()
    Gets whether only weights should be udpated.*
    String
    globalInfo()
    Returns a string describing the estimator.
    void
    initializeStatistics()
    Triggers construction of estimator based on current data and then initializes the statistics.
    double
    logDensity(double value)
    Returns the natural logarithm of the density estimate at the given point.
    static void
    main(String[] args)
    Main method, used for testing this class.
    double[][]
    predictIntervals(double conf)
    Returns the interval for the given confidence value.
    double
    predictQuantile(double percentage)
    Returns the quantile for the given percentage.
    void
    setNumBins(int numBins)
    Sets the number of bins
    void
    setUpdateWeightsOnly(boolean flag)
    Sets whether only weights should be udpated.
    String
    toString()
    Returns textual description of this estimator.

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

  • Field Details

    • CONST

      public static final double CONST
      Constant for Gaussian density.

  • Constructor Details

    • UnivariateEqualFrequencyHistogramEstimator

      public UnivariateEqualFrequencyHistogramEstimator()

  • Method Details

    • globalInfo

      public String globalInfo()
      Returns a string describing the estimator.

    • getNumBins

      public int getNumBins()
      Gets the number of bins
      Returns:
      the number of bins.

    • setNumBins

      public void setNumBins(int numBins)
      Sets the number of bins
      Parameters:
      numBins - the number of bins

    • initializeStatistics

      public void initializeStatistics()
      Triggers construction of estimator based on current data and then initializes the statistics.

    • setUpdateWeightsOnly

      public void setUpdateWeightsOnly(boolean flag)
      Sets whether only weights should be udpated.

    • getUpdateWeightsOnly

      public boolean getUpdateWeightsOnly()
      Gets whether only weights should be udpated.*

    • addValue

      public void addValue(double value, double weight)
      Adds a value to the density estimator.
      Specified by:
      addValue in interface UnivariateDensityEstimator
      Specified by:
      addValue in interface UnivariateIntervalEstimator
      Specified by:
      addValue in interface UnivariateQuantileEstimator
      Parameters:
      value - the value to add
      weight - the weight of the value

    • predictIntervals

      public double[][] predictIntervals(double conf)
      Returns the interval for the given confidence value.
      Specified by:
      predictIntervals in interface UnivariateIntervalEstimator
      Parameters:
      conf - the confidence value in the interval [0, 1]
      Returns:
      the interval

    • predictQuantile

      public double predictQuantile(double percentage)
      Returns the quantile for the given percentage.
      Specified by:
      predictQuantile in interface UnivariateQuantileEstimator
      Parameters:
      percentage - the percentage
      Returns:
      the quantile

    • logDensity

      public double logDensity(double value)
      Returns the natural logarithm of the density estimate at the given point.
      Specified by:
      logDensity in interface UnivariateDensityEstimator
      Parameters:
      value - the value at which to evaluate
      Returns:
      the natural logarithm of the density estimate at the given value

    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Returns:
      the revision

    • toString

      public String toString()
      Returns textual description of this estimator.
      Overrides:
      toString in class Object

    • main

      public static void main(String[] args)
      Main method, used for testing this class.