Class TruncatedGaussianEstimator

Estimates a TruncatedGaussian distribution from samples.

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

Constructors

TruncatedGaussianEstimator()

Creates a new TruncatedGaussian estimator

Declaration
public TruncatedGaussianEstimator()

Fields

maxUpperBound

Declaration
public double maxUpperBound
Field Value
Type Description
Double

minLowerBound

Declaration
public double minLowerBound
Field Value
Type Description
Double

mva

Where to accumulate means and variances

Declaration
public MeanVarianceAccumulator mva
Field Value
Type Description
MeanVarianceAccumulator

Methods

Add(TruncatedGaussian)

Adds a TruncatedGaussian distribution item to the estimator

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

The distribution instance to add

Clear()

Clears the accumulator

Declaration
public void Clear()

Clone()

Returns a clone of this estimator.

Declaration
public object Clone()
Returns
Type Description
Object

GetDistribution(TruncatedGaussian)

Computes the maximum-likelihood TruncatedGaussian from the samples.

Declaration
public TruncatedGaussian GetDistribution(TruncatedGaussian result)
Parameters
Type Name Description
TruncatedGaussian result
Returns
Type Description
TruncatedGaussian

Returns a new TruncatedGaussian object.

SetTo(TruncatedGaussianEstimator)

Sets the state of this estimator from the specified estimator.

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

Implements