Package weka.estimators

Class UnivariateMixtureEstimator

java.lang.Object
weka.estimators.UnivariateMixtureEstimator
All Implemented Interfaces:
Serializable, OptionHandler, RevisionHandler, UnivariateDensityEstimator, UnivariateIntervalEstimator, UnivariateQuantileEstimator
public class UnivariateMixtureEstimator extends Object implements UnivariateDensityEstimator, UnivariateIntervalEstimator, UnivariateQuantileEstimator, OptionHandler, Serializable
Simple weighted mixture density estimator. Uses a mixture of Gaussians and applies the leave-one-out bootstrap for model selection. Can alternatively use normalized entropy.
Version:
$Revision: 8034 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:

  • Constructor Details

    • UnivariateMixtureEstimator

      public UnivariateMixtureEstimator()

  • Method Details

    • globalInfo

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

    • getUseNormalizedEntropy

      public boolean getUseNormalizedEntropy()
      Returns:
      whether normalized entropy is used

    • setUseNormalizedEntropy

      public void setUseNormalizedEntropy(boolean useNormalizedEntropy)
      Parameters:
      useNormalizedEntropy - whether to use normalized entropy

    • numBootstrapRunsToolTipText

      public String numBootstrapRunsToolTipText()
      The tool tip for this property.

    • getNumBootstrapRuns

      public int getNumBootstrapRuns()
      Returns the number of Bootstrap runs.
      Returns:
      the number of Bootstrap runs

    • setNumBootstrapRuns

      public void setNumBootstrapRuns(int numBootstrapRuns)
      Sets the number of Bootstrap runs.
      Parameters:
      mnumBootstrapRuns - the number of Bootstrap runs

    • numComponentsToolTipText

      public String numComponentsToolTipText()
      The tool tip for this property.

    • getNumComponents

      public int getNumComponents()
      Returns the number of components to use.
      Returns:
      the m_NumComponents

    • setNumComponents

      public void setNumComponents(int numComponents)
      Sets the number of components to use.
      Parameters:
      m_NumComponents - the m_NumComponents to set

    • seedTipText

      public String seedTipText()
      Returns the tip text for this property
      Returns:
      tip text for this property suitable for displaying in the explorer/experimenter gui

    • setSeed

      public void setSeed(int seed)
      Set the seed for random number generation.
      Parameters:
      seed - the seed

    • getSeed

      public int getSeed()
      Gets the seed for the random number generations
      Returns:
      the seed for the random number generation

    • maxNumComponentsToolTipText

      public String maxNumComponentsToolTipText()
      The tool tip for this property.

    • getMaxNumComponents

      public int getMaxNumComponents()
      Returns the number of components to use.
      Returns:
      the maximum number of components to use

    • setMaxNumComponents

      public void setMaxNumComponents(int maxNumComponents)
      Sets the number of components to use.
      Parameters:
      maxNumComponents - the maximum number of components to evaluate

    • 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

    • buildModel

      public UnivariateMixtureEstimator.MM buildModel(int K, double[] values, double[] weights)
      Build mixture model. Assumes K >= 1, values.length >= 1, and values.length = weights.length.

    • resampleWithWeights

      public double[][] resampleWithWeights(Random random, boolean[] sampled)
      Creates a new dataset of the same size using random sampling with replacement according to the given weight vector. The weights of the instances in the new dataset are set to one.

    • 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

    • toString

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

    • listOptions

      public Enumeration<Option> listOptions()
      Returns an enumeration that lists the command-line options that are available
      Specified by:
      listOptions in interface OptionHandler
      Returns:
      the list of options as an enumeration

    • setOptions

      public void setOptions(String[] options) throws Exception
      Sets options based on the given array of strings.
      Specified by:
      setOptions in interface OptionHandler
      Parameters:
      options - the list of options to parse
      Throws:
      Exception - if an option is not supported

    • getOptions

      public String[] getOptions()
      Returns the current set of options.
      Specified by:
      getOptions in interface OptionHandler
      Returns:
      the current set of options as a string

    • getRevision

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

    • main

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