Class GaussianEstimator

Estimates a Gaussian distribution from samples.

Inheritance

Object

GaussianEstimator

Implements

Estimator<Gaussian>

Accumulator<Gaussian>

Accumulator<Double>

SettableTo<GaussianEstimator>

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.Distributions

Assembly: Microsoft.ML.Probabilistic.dll

Syntax

public class GaussianEstimator : Estimator<Gaussian>, Accumulator<Gaussian>, Accumulator<double>, SettableTo<GaussianEstimator>, ICloneable

Constructors

GaussianEstimator()

Creates a new Gaussian estimator

Declaration

public GaussianEstimator()

Fields

mva

Where to accumulate means and variances

Declaration

public MeanVarianceAccumulator mva

Field Value

Type	Description
MeanVarianceAccumulator

Methods

Add(Gaussian)

Adds a Gaussian distribution item to the estimator

Declaration

public void Add(Gaussian distribution)

Parameters

Type	Name	Description
Gaussian	distribution	The distribution instance to add

Add(Gaussian, Double)

Adds a Gaussian distribution with given weight to the estimator

Declaration

public void Add(Gaussian distribution, double weight)

Parameters

Type	Name	Description
Gaussian	distribution	The distribution instance to add
Double	weight	The weight of the distribution

Add(Double)

Adds an sample to the estimator

Declaration

public void Add(double sample)

Parameters

Type	Name	Description
Double	sample	The sample add

Add(Double, Double)

Adds a sample with a given weight to the estimator

Declaration

public void Add(double sample, double weight)

Parameters

Type	Name	Description
Double	sample	The sample to add
Double	weight	The weight of the sample

Clear()

Clears the accumulator

Declaration

public void Clear()

Clone()

Returns a clone of this estimator.

Declaration

public object Clone()

Returns

Type	Description
Object

GetDistribution(Gaussian)

Computes the maximum-likelihood Gaussian from the samples.

Declaration

public Gaussian GetDistribution(Gaussian result)

Parameters

Type	Name	Description
Gaussian	result

Returns

Type	Description
Gaussian	Returns a new Gaussian object.

SetTo(GaussianEstimator)

Sets the state of this estimator from the specified estimator.

Declaration

public void SetTo(GaussianEstimator value)

Parameters

Type	Name	Description
GaussianEstimator	value

Implements

Estimator<T>

Accumulator<T>

Accumulator<T>

SettableTo<T>

System.ICloneable