Class MeanVarianceAccumulatorSkipNaNs

Decorator of MeanVarianceAccumulator that does not add if any input is NaN.

Inheritance

Object

MeanVarianceAccumulatorSkipNaNs

Implements

Accumulator<Double>

SettableTo<MeanVarianceAccumulatorSkipNaNs>

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 MeanVarianceAccumulatorSkipNaNs : Accumulator<double>, SettableTo<MeanVarianceAccumulatorSkipNaNs>, ICloneable

Properties

Count

Sample count

Declaration

public double Count { get; }

Property Value

Type	Description
Double

Mean

The sample mean

Declaration

public double Mean { get; }

Property Value

Type	Description
Double

Variance

Sample variance

Declaration

public double Variance { get; }

Property 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 weight)

Parameters

Type	Name	Description
Double	x
Double	weight

Add(Double, Double, Double)

Adds a noisy observation.

Declaration

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

Parameters

Type	Name	Description
Double	x
Double	noiseVariance
Double	weight

Clear()

Clears the accumulator

Declaration

public void Clear()

Clone()

Returns a clone of this estimator.

Declaration

public object Clone()

Returns

Type	Description
Object

SetTo(MeanVarianceAccumulatorSkipNaNs)

Sets the state of this estimator from the specified estimator.

Declaration

public void SetTo(MeanVarianceAccumulatorSkipNaNs value)

Parameters

Type	Name	Description
MeanVarianceAccumulatorSkipNaNs	value

Implements

Accumulator<T>

SettableTo<T>

System.ICloneable