Class PoissonEstimator

Estimates a Poisson distribution from samples.

Inheritance

Object

PoissonEstimator

Implements

Estimator<Poisson>

Accumulator<Poisson>

Accumulator<Double>

SettableTo<PoissonEstimator>

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 PoissonEstimator : Estimator<Poisson>, Accumulator<Poisson>, Accumulator<double>, SettableTo<PoissonEstimator>, ICloneable

Methods

Add(Poisson)

Add a distribution sample to the estimator

Declaration

public void Add(Poisson item)

Parameters

Type	Name	Description
Poisson	item	The item to add

Remarks

Assumes a Com-Poisson precision of 1.0

Add(Double)

Add a domain sample to the estimator

Declaration

public void Add(double item)

Parameters

Type	Name	Description
Double	item

Add(Double, Double)

Declaration

public void Add(double item, double weight)

Parameters

Type	Name	Description
Double	item
Double	weight

Clear()

Clear the estimator

Declaration

public void Clear()

Clone()

Clone this estimator

Declaration

public object Clone()

Returns

Type	Description
Object

GetDistribution(Poisson)

Retrieves an estimation of the distribution

Declaration

public Poisson GetDistribution(Poisson result)

Parameters

Type	Name	Description
Poisson	result

Returns

Type	Description
Poisson

SetTo(PoissonEstimator)

Set this estimator to another

Declaration

public void SetTo(PoissonEstimator value)

Parameters

Type	Name	Description
PoissonEstimator	value

Implements

Estimator<T>

Accumulator<T>

Accumulator<T>

SettableTo<T>

System.ICloneable