Package com.irurueta.numerical

Class AccurateMaximumLikelihoodEstimator.EvaluatorListener

java.lang.Object
com.irurueta.numerical.AccurateMaximumLikelihoodEstimator.EvaluatorListener
All Implemented Interfaces:
SingleDimensionFunctionEvaluatorListener
Enclosing class:
AccurateMaximumLikelihoodEstimator
private class AccurateMaximumLikelihoodEstimator.EvaluatorListener extends Object implements SingleDimensionFunctionEvaluatorListener
Internal class used by the BrentSingleOptimizer in order to evaluate the aggregation of Gaussians for all the samples in input data array with a high degree of precision.

  • Constructor Summary

    Constructors
    Modifier
    Constructor
    Description
    private
    EvaluatorListener()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    double
    evaluate(double point)
    Evaluates the aggregation of Gaussians for all the samples in input data array, by assuming that each sample has an associated small Gaussian centered at the sample value and with a small sigma value.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • EvaluatorListener

      private EvaluatorListener()

  • Method Details

    • evaluate

      public double evaluate(double point)
      Evaluates the aggregation of Gaussians for all the samples in input data array, by assuming that each sample has an associated small Gaussian centered at the sample value and with a small sigma value. The aggregation of Gaussians will generate the averaged PDF function of all the input values.
      Specified by:
      evaluate in interface SingleDimensionFunctionEvaluatorListener
      Parameters:
      point - Point where the aggregation of Gaussians will be evaluated
      Returns:
      The value of the aggregation of samples at provided point.