Class MeanVarianceAccumulator2

Class for accumulating weighted noisy scalar observations, and computing sample count, mean, and variance

Inheritance

Object

MeanVarianceAccumulator2

Implements

SettableTo<MeanVarianceAccumulator2>

ICloneable

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: Microsoft.ML.Probabilistic.Math

Assembly: Microsoft.ML.Probabilistic.dll

Syntax

public class MeanVarianceAccumulator2 : SettableTo<MeanVarianceAccumulator2>, ICloneable

Fields

LogCount

Sample count

Declaration

public double LogCount

Field Value

Type	Description
Double

Mean

The sample mean

Declaration

public double Mean

Field Value

Type	Description
Double

Variance

Sample variance

Declaration

public double Variance

Field Value

Type	Description
Double

Methods

Add(Double)

Adds an observation

Declaration

public void Add(double x)

Parameters

Type	Name	Description
Double	x

Add(Double, Double)

Adds a weighted observation.

Declaration

public void Add(double x, double logWeight)

Parameters

Type	Name	Description
Double	x
Double	logWeight

Add(Double, Double, Double)

Adds a noisy observation.

Declaration

public void Add(double x, double noiseVariance, double logWeight)

Parameters

Type	Name	Description
Double	x
Double	noiseVariance
Double	logWeight

Clear()

Clears the accumulator

Declaration

public void Clear()

Clone()

Returns a clone of this estimator.

Declaration

public object Clone()

Returns

Type	Description
Object

SetTo(MeanVarianceAccumulator2)

Sets the state of this estimator from the specified estimator.

Declaration

public void SetTo(MeanVarianceAccumulator2 value)

Parameters

Type	Name	Description
MeanVarianceAccumulator2	value

Implements

SettableTo<T>

System.ICloneable