org.datavec.api.transform.ops

Class AggregatorImpls.AggregableVariance<T extends Number>

java.lang.Object

org.datavec.api.transform.ops.AggregatorImpls.AggregableVariance<T>

All Implemented Interfaces:

Serializable, IAggregableReduceOp<T,Writable>, org.nd4j.linalg.function.Consumer<T>, org.nd4j.linalg.function.Supplier<Writable>

Direct Known Subclasses:

AggregatorImpls.AggregablePopulationVariance

Enclosing class:

AggregatorImpls

public static class AggregatorImpls.AggregableVariance<T extends Number>
extends Object
implements IAggregableReduceOp<T,Writable>

This class offers an aggregable reduce operation for the unbiased variance, i.e. the estimator of the arithmetic mean of squared differences to the mean, corrected with Bessel's correction. See https://en.wikipedia.org/wiki/Variance#Population_variance_and_sample_variance This is computed with Welford's method for increased numerical stability & aggregability.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AggregableVariance()

Method Summary

Modifier and Type	Method and Description
void	accept(T n)
<U extends IAggregableReduceOp<T,Writable>> void	combine(U acc)
Writable	get()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AggregableVariance

public AggregableVariance()

Method Detail

accept

public void accept(T n)

Specified by:

accept in interface org.nd4j.linalg.function.Consumer<T extends Number>

combine

public <U extends IAggregableReduceOp<T,Writable>> void combine(U acc)

Specified by:

combine in interface IAggregableReduceOp<T extends Number,Writable>

get

public Writable get()

Specified by:

get in interface org.nd4j.linalg.function.Supplier<Writable>