TruncatedGaussian Structure

Infer.NET Documentation

Microsoft Research, Cambridge

A distribution over real numbers between an upper and lower bound. If both bounds are infinite, it reduces to an ordinary Gaussian distribution.

Namespace:�MicrosoftResearch.Infer.Distributions
Assembly:�Infer.Runtime (in Infer.Runtime.dll) Version: 2.5.30417.0 (2.5.30417.0)

Syntax

C++

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[SerializableAttribute]
[Quality(QualityBand.Preview)]
public�struct�TruncatedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, CanGetLogProb<double>, SettableTo<TruncatedGaussian>, 
	Diffable, SettableToProduct<TruncatedGaussian>, SettableToProduct<TruncatedGaussian, TruncatedGaussian>, 
	SettableToUniform, SettableToRatio<TruncatedGaussian>, SettableToRatio<TruncatedGaussian, TruncatedGaussian>, 
	SettableToPower<TruncatedGaussian>, Sampleable<double>, SettableToWeightedSum<TruncatedGaussian>, 
	CanGetMean<double>, CanGetVariance<double>, CanGetMeanAndVarianceOut<double, double>, 
	CanGetLogNormalizer, CanGetLogAverageOf<TruncatedGaussian>, CanGetLogAverageOfPower<TruncatedGaussian>, 
	CanGetAverageLog<TruncatedGaussian>

[SerializableAttribute]
[Quality(QualityBand.Preview)]
public�struct�TruncatedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, CanGetLogProb<double>, SettableTo<TruncatedGaussian>, 
	Diffable, SettableToProduct<TruncatedGaussian>, SettableToProduct<TruncatedGaussian, TruncatedGaussian>, 
	SettableToUniform, SettableToRatio<TruncatedGaussian>, SettableToRatio<TruncatedGaussian, TruncatedGaussian>, 
	SettableToPower<TruncatedGaussian>, Sampleable<double>, SettableToWeightedSum<TruncatedGaussian>, 
	CanGetMean<double>, CanGetVariance<double>, CanGetMeanAndVarianceOut<double, double>, 
	CanGetLogNormalizer, CanGetLogAverageOf<TruncatedGaussian>, CanGetLogAverageOfPower<TruncatedGaussian>, 
	CanGetAverageLog<TruncatedGaussian>

[<SealedAttribute>]
[<SerializableAttribute>]
[<Quality(QualityBand.Preview)>]
type�TruncatedGaussian =  
    struct�
��������interface�IDistribution<float>
        interface�ICloneable�
��������interface�HasPoint<float>
        interface�CanGetLogProb<float>
        interface�SettableTo<TruncatedGaussian>
        interface�Diffable�
��������interface�SettableToProduct<TruncatedGaussian>
        interface�SettableToProduct<TruncatedGaussian, TruncatedGaussian>
        interface�SettableToUniform�
��������interface�SettableToRatio<TruncatedGaussian>
        interface�SettableToRatio<TruncatedGaussian, TruncatedGaussian>
        interface�SettableToPower<TruncatedGaussian>
        interface�Sampleable<float>
        interface�SettableToWeightedSum<TruncatedGaussian>
        interface�CanGetMean<float>
        interface�CanGetVariance<float>
        interface�CanGetMeanAndVarianceOut<float, float>
        interface�CanGetLogNormalizer�
��������interface�CanGetLogAverageOf<TruncatedGaussian>
        interface�CanGetLogAverageOfPower<TruncatedGaussian>
        interface�CanGetAverageLog<TruncatedGaussian>
    end

[<SealedAttribute>]
[<SerializableAttribute>]
[<Quality(QualityBand.Preview)>]
type�TruncatedGaussian =  
    struct�
��������interface�IDistribution<float>
        interface�ICloneable�
��������interface�HasPoint<float>
        interface�CanGetLogProb<float>
        interface�SettableTo<TruncatedGaussian>
        interface�Diffable�
��������interface�SettableToProduct<TruncatedGaussian>
        interface�SettableToProduct<TruncatedGaussian, TruncatedGaussian>
        interface�SettableToUniform�
��������interface�SettableToRatio<TruncatedGaussian>
        interface�SettableToRatio<TruncatedGaussian, TruncatedGaussian>
        interface�SettableToPower<TruncatedGaussian>
        interface�Sampleable<float>
        interface�SettableToWeightedSum<TruncatedGaussian>
        interface�CanGetMean<float>
        interface�CanGetVariance<float>
        interface�CanGetMeanAndVarianceOut<float, float>
        interface�CanGetLogNormalizer�
��������interface�CanGetLogAverageOf<TruncatedGaussian>
        interface�CanGetLogAverageOfPower<TruncatedGaussian>
        interface�CanGetAverageLog<TruncatedGaussian>
    end

[SerializableAttribute]
[Quality(QualityBand::Preview)]
public�value class�TruncatedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, CanGetLogProb<double>, SettableTo<TruncatedGaussian>, 
	Diffable, SettableToProduct<TruncatedGaussian>, SettableToProduct<TruncatedGaussian, TruncatedGaussian>, 
	SettableToUniform, SettableToRatio<TruncatedGaussian>, SettableToRatio<TruncatedGaussian, TruncatedGaussian>, 
	SettableToPower<TruncatedGaussian>, Sampleable<double>, SettableToWeightedSum<TruncatedGaussian>, 
	CanGetMean<double>, CanGetVariance<double>, CanGetMeanAndVarianceOut<double, double>, 
	CanGetLogNormalizer, CanGetLogAverageOf<TruncatedGaussian>, CanGetLogAverageOfPower<TruncatedGaussian>, 
	CanGetAverageLog<TruncatedGaussian>

[SerializableAttribute]
[Quality(QualityBand::Preview)]
public�value class�TruncatedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, CanGetLogProb<double>, SettableTo<TruncatedGaussian>, 
	Diffable, SettableToProduct<TruncatedGaussian>, SettableToProduct<TruncatedGaussian, TruncatedGaussian>, 
	SettableToUniform, SettableToRatio<TruncatedGaussian>, SettableToRatio<TruncatedGaussian, TruncatedGaussian>, 
	SettableToPower<TruncatedGaussian>, Sampleable<double>, SettableToWeightedSum<TruncatedGaussian>, 
	CanGetMean<double>, CanGetVariance<double>, CanGetMeanAndVarianceOut<double, double>, 
	CanGetLogNormalizer, CanGetLogAverageOf<TruncatedGaussian>, CanGetLogAverageOfPower<TruncatedGaussian>, 
	CanGetAverageLog<TruncatedGaussian>

<SerializableAttribute> _
<Quality(QualityBand.Preview)> _
Public�Structure�TruncatedGaussian _
	Implements�IDistribution(Of�Double), ICloneable,  _
	HasPoint(Of�Double), CanGetLogProb(Of�Double), SettableTo(Of�TruncatedGaussian),  _
	Diffable, SettableToProduct(Of�TruncatedGaussian), SettableToProduct(Of�TruncatedGaussian, TruncatedGaussian),  _
	SettableToUniform, SettableToRatio(Of�TruncatedGaussian), SettableToRatio(Of�TruncatedGaussian, TruncatedGaussian),  _
	SettableToPower(Of�TruncatedGaussian), Sampleable(Of�Double), SettableToWeightedSum(Of�TruncatedGaussian),  _
	CanGetMean(Of�Double), CanGetVariance(Of�Double), CanGetMeanAndVarianceOut(Of�Double, Double),  _
	CanGetLogNormalizer, CanGetLogAverageOf(Of�TruncatedGaussian), CanGetLogAverageOfPower(Of�TruncatedGaussian),  _
	CanGetAverageLog(Of�TruncatedGaussian)

<SerializableAttribute> _
<Quality(QualityBand.Preview)> _
Public�Structure�TruncatedGaussian _
	Implements�IDistribution(Of�Double), ICloneable,  _
	HasPoint(Of�Double), CanGetLogProb(Of�Double), SettableTo(Of�TruncatedGaussian),  _
	Diffable, SettableToProduct(Of�TruncatedGaussian), SettableToProduct(Of�TruncatedGaussian, TruncatedGaussian),  _
	SettableToUniform, SettableToRatio(Of�TruncatedGaussian), SettableToRatio(Of�TruncatedGaussian, TruncatedGaussian),  _
	SettableToPower(Of�TruncatedGaussian), Sampleable(Of�Double), SettableToWeightedSum(Of�TruncatedGaussian),  _
	CanGetMean(Of�Double), CanGetVariance(Of�Double), CanGetMeanAndVarianceOut(Of�Double, Double),  _
	CanGetLogNormalizer, CanGetLogAverageOf(Of�TruncatedGaussian), CanGetLogAverageOfPower(Of�TruncatedGaussian),  _
	CanGetAverageLog(Of�TruncatedGaussian)

Remarks

The distribution is parameterized by a Gaussian and two real numbers (LowerBound, UpperBound). Between the bounds, the density is proportional to the Gaussian. Outside of the bounds, the density is zero.