public class AggregatorImpls extends Object
Modifier and Type | Class and Description |
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static class |
AggregatorImpls.AggregableCount<T> |
static class |
AggregatorImpls.AggregableCountUnique<T>
This distinct count is based on streamlib's implementation of "HyperLogLog in Practice:
Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm", available
here.
|
static class |
AggregatorImpls.AggregableFirst<T> |
static class |
AggregatorImpls.AggregableLast<T> |
static class |
AggregatorImpls.AggregableMax<T extends Number & Comparable<T>> |
static class |
AggregatorImpls.AggregableMean<T extends Number> |
static class |
AggregatorImpls.AggregableMin<T extends Number & Comparable<T>> |
static class |
AggregatorImpls.AggregablePopulationVariance<T extends Number>
This class offers an aggregable reduce operation for the population variance, i.e.
|
static class |
AggregatorImpls.AggregableProd<T extends Number> |
static class |
AggregatorImpls.AggregableRange<T extends Number & Comparable<T>> |
static class |
AggregatorImpls.AggregableStdDev<T extends Number>
This class offers an aggregable reduce operation for the unbiased standard deviation, i.e.
|
static class |
AggregatorImpls.AggregableSum<T extends Number> |
static class |
AggregatorImpls.AggregableUncorrectedStdDev<T extends Number>
This class offers an aggregable reduce operation for the biased standard deviation, i.e.
|
static class |
AggregatorImpls.AggregableVariance<T extends Number>
This class offers an aggregable reduce operation for the unbiased variance, i.e.
|
Constructor and Description |
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AggregatorImpls() |
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