WeightedEvaluation (Hipparchus 1.7 API)

All Known Implementing Classes:

Mean, Product, Sum, Variance
```
public interface WeightedEvaluation
```
Weighted evaluation for statistics.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`default 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
```
default double evaluate(double[] values,
                        double[] weights)
                 throws MathIllegalArgumentException
```
    Returns the result of evaluating the statistic over the input array, using the supplied weights.
    The default implementation delegates to evaluate(double[], double[], int, int) in the natural way.
    
    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

Interface WeightedEvaluation

Method Summary

Method Detail

evaluate

evaluate