Class BernoulliEstimator

Estimates a Bernoulli distribution from samples.

Inheritance
Object
BernoulliEstimator
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Distributions
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
public class BernoulliEstimator : Estimator<Bernoulli>, Accumulator<Bernoulli>, Accumulator<bool>, SettableTo<BernoulliEstimator>, ICloneable

Fields

N

Number of samples

Declaration
public long N
Field Value
Type Description
Int64

NProbTrue

Number of samples with value true

Declaration
public double NProbTrue
Field Value
Type Description
Double

Methods

Add(Bernoulli)

Adds a distribution item to the estimator

Declaration
public void Add(Bernoulli distribution)
Parameters
Type Name Description
Bernoulli distribution

A Bernoulli distribution

Add(Boolean)

Adds a sample to the estimator

Declaration
public void Add(bool sample)
Parameters
Type Name Description
Boolean sample

The sample - true or false

Clear()

Clears the estimator

Declaration
public void Clear()

Clone()

Returns a copy of the estimator.

Declaration
public object Clone()
Returns
Type Description
Object

GetDistribution(Bernoulli)

Gets the estimated distribution

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

A place to put the resulting distribution. This is ignored because Bernoulli is a struct
Returns
Type Description
Bernoulli

The estimated distribution

SetTo(BernoulliEstimator)

Sets this estimator's state from the supplied estimator.

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

Implements