Documentation of 'weka.estimators.MultivariateEstimator' Java class
MultivariateEstimator
weka.estimators

Interface MultivariateEstimator

  • All Known Implementing Classes:
    MultivariateGaussianEstimator


    public interface MultivariateEstimator
    Interface to Multivariate Distribution Estimation
    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method and Description
      void estimate(double[][] value, double[] weight)
      Fits the value to the density estimator.
      double logDensity(double[] value)
      Returns the natural logarithm of the density estimate at the given point.
    • Method Detail

      • estimate

        void estimate(double[][] value,
                      double[] weight)
        Fits the value to the density estimator.
        Parameters:
        value - the value to add
        weight - the weight of the value
      • logDensity

        double logDensity(double[] value)
        Returns the natural logarithm of the density estimate at the given point.
        Parameters:
        value - the value at which to evaluate
        Returns:
        the natural logarithm of the density estimate at the given value

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