AggregatableStatistic (Hipparchus 1.7 API)

Type Parameters:

T - the type of statistic

All Known Implementing Classes:

GeometricMean, Max, Mean, Min, Product, RandomPercentile, SecondMoment, StreamingStatistics, Sum, SumOfLogs, SumOfSquares, Variance
```
public interface AggregatableStatistic<T>
```
An interface for statistics that can aggregate results.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`default void`	`aggregate(Iterable<T> others)` Aggregates the results from the provided instances into this instance.
`default void`	`aggregate(T... others)` Aggregates the results from the provided instances into this instance.
`void`	`aggregate(T other)` Aggregates the provided instance into this instance.

- Method Detail
  - aggregate
```
void aggregate(T other)
        throws NullArgumentException
```
    Aggregates the provided instance into this instance.
    This method can be used to combine statistics computed over partitions or subsamples - i.e., the value of this instance after this operation should be the same as if a single statistic would have been applied over the combined dataset.
    
    Parameters:
    
    other - the instance to aggregate into this instance
    
    Throws:
    
    NullArgumentException - if the input is null
  - aggregate
```
default void aggregate(T... others)
```
    Aggregates the results from the provided instances into this instance.
    This method can be used to combine statistics computed over partitions or subsamples - i.e., the value of this instance after this operation should be the same as if a single statistic would have been applied over the combined dataset.
    
    Parameters:
    
    others - the other instances to aggregate into this instance
    
    Throws:
    
    NullArgumentException - if either others or any instance is null
  - aggregate
```
default void aggregate(Iterable<T> others)
```
    Aggregates the results from the provided instances into this instance.
    This method can be used to combine statistics computed over partitions or subsamples - i.e., the value of this instance after this operation should be the same as if a single statistic would have been applied over the combined dataset.
    
    Parameters:
    
    others - the other instances to aggregate into this instance
    
    Throws:
    
    NullArgumentException - if either others or any instance is null

Interface AggregatableStatistic<T>

Method Summary

Method Detail

aggregate

aggregate

aggregate