Class MedianAbsoluteDeviationAggregationDescriptor<T>

This single-value aggregation approximates the median absolute deviation of its search results.

Median absolute deviation is a measure of variability. It is a robust statistic, meaning that it is useful for describing data that may have outliers, or may not be normally distributed. For such data it can be more descriptive than standard deviation.

It is calculated as the median of each data point’s deviation from the median of the entire sample. That is, for a random variable

, the median absolute deviation is

median(|median(X) - Xi|).

Inheritance

object

DescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation>

MetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>

FormattableMetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>

MedianAbsoluteDeviationAggregationDescriptor<T>

Implements

IDescriptor

IMedianAbsoluteDeviationAggregation

IFormattableMetricAggregation

IMetricAggregation

IAggregation

Inherited Members

FormattableMetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>.Format(string)

MetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>.Field(Field)

MetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>.Field<TValue>(Expression<Func<T, TValue>>)

MetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>.Script(string)

MetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>.Script(Func<ScriptDescriptor, IScript>)

MetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>.Missing(double?)

MetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>.Meta(Func<FluentDictionary<string, object>, FluentDictionary<string, object>>)

DescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation>.Self

DescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation>.Assign<TValue>(TValue, Action<IMedianAbsoluteDeviationAggregation, TValue>)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: OpenSearch.Client

Assembly: OpenSearch.Client.dll

Syntax

public class MedianAbsoluteDeviationAggregationDescriptor<T> : FormattableMetricAggregationDescriptorBase<MedianAbsoluteDeviationAggregationDescriptor<T>, IMedianAbsoluteDeviationAggregation, T>, IDescriptor, IMedianAbsoluteDeviationAggregation, IFormattableMetricAggregation, IMetricAggregation, IAggregation where T : class

Type Parameters

Name	Description
T

Methods

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Compression(double?)

TDigest algorithm component that controls memory usage and approximation error. By increasing the compression value, you can increase the accuracy at the cost of more memory. Larger compression values also make the algorithm slower since the underlying tree data structure grows in size, resulting in more expensive operations. The default compression value is 100.

Declaration

public MedianAbsoluteDeviationAggregationDescriptor<T> Compression(double? compression)

Parameters

Type	Name	Description
double?	compression

Returns

Type	Description
MedianAbsoluteDeviationAggregationDescriptor<T>