WeightedEvaluation (Apache Commons Math 3.6.1 API)

org.apache.commons.math3.stat.descriptive

## Interface WeightedEvaluation

- All Known Implementing Classes:
    Mean, Product, Variance

      public interface WeightedEvaluation

  Weighted evaluation for statistics.
  Since:
    2.1

- - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `double` | `evaluate(double[] values, double[] weights)` Returns the result of evaluating the statistic over the input array, using the supplied weights.
    `double` | `evaluate(double[] values, double[] weights, int begin, int length)` Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.

- - ### Method Detail

    - #### evaluate

          double evaluate(double[] values,
                        double[] weights)
                          throws MathIllegalArgumentException

      Returns the result of evaluating the statistic over the input array, using the supplied weights.
      Parameters:
        `values` - input array
        `weights` - array of weights
      Returns:
        the value of the weighted statistic applied to the input array
      Throws:
        `MathIllegalArgumentException` - if either array is null, lengths do not match, weights contain NaN, negative or infinite values, or weights does not include at least on positive value

    - #### evaluate

          double evaluate(double[] values,
                        double[] weights,
                        int begin,
                        int length)
                          throws MathIllegalArgumentException

      Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
      Parameters:
        `values` - the input array
        `weights` - array of weights
        `begin` - the index of the first element to include
        `length` - the number of elements to include
      Returns:
        the value of the weighted statistic applied to the included array entries
      Throws:
        `MathIllegalArgumentException` - if either array is null, lengths do not match, indices are invalid, weights contain NaN, negative or infinite values, or weights does not include at least on positive value

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