Class DirichletEstimator

Estimates a Dirichlet distribution from samples.

Inheritance
Object
DirichletEstimator
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Distributions
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
public class DirichletEstimator : Estimator<Dirichlet>, Accumulator<Dirichlet>, Accumulator<Vector>, SettableTo<DirichletEstimator>, ICloneable

Constructors

DirichletEstimator(Int32)

Creates a new Dirichlet estimator

Declaration
public DirichletEstimator(int dimension)
Parameters
Type Name Description
Int32 dimension

Dimension

Fields

N

Number of samples

Declaration
public int N
Field Value
Type Description
Int32

Sum

Sum

Declaration
public Vector Sum
Field Value
Type Description
Vector

Sum2

Sum of squares

Declaration
public Vector Sum2
Field Value
Type Description
Vector

Properties

Dimension

Dimension of the Dirichlet

Declaration
public int Dimension { get; }
Property Value
Type Description
Int32

Methods

Add(Dirichlet)

Adds a Dirichlet item to the estimator

Declaration
public void Add(Dirichlet item)
Parameters
Type Name Description
Dirichlet item

A Dirichlet instance

Add(Vector)

Adds a Vector sample to the estimator

Declaration
public void Add(Vector item)
Parameters
Type Name Description
Vector item

Clear()

Clears the estimator

Declaration
public void Clear()

Clone()

Returns a clone of this estimator.

Declaration
public object Clone()
Returns
Type Description
Object

GetDistribution(Dirichlet)

Gets the estimated distribution

Declaration
public Dirichlet GetDistribution(Dirichlet result)
Parameters
Type Name Description
Dirichlet result

Where to put the estimated distribution
Returns
Type Description
Dirichlet

The estimated distribution

SetTo(DirichletEstimator)

Sets the state of this estimator from the specified estimator.

Declaration
public void SetTo(DirichletEstimator value)
Parameters
Type Name Description
DirichletEstimator value

Implements