WrappedGaussian Structure

Infer.NET Documentation

Microsoft Research, Cambridge

A Gaussian distribution on a periodic domain, such as angles between 0 and 2*pi.

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.Experimental)]
public�struct�WrappedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, Diffable, SettableToUniform, CanGetLogProb<double>, 
	SettableTo<WrappedGaussian>, SettableToProduct<WrappedGaussian>, SettableToProduct<WrappedGaussian, WrappedGaussian>, 
	SettableToRatio<WrappedGaussian>, SettableToRatio<WrappedGaussian, WrappedGaussian>, 
	SettableToWeightedSum<WrappedGaussian>, SettableToPower<WrappedGaussian>, Sampleable<double>, 
	CanGetLogAverageOf<WrappedGaussian>, CanGetLogAverageOfPower<WrappedGaussian>, CanGetAverageLog<WrappedGaussian>

[SerializableAttribute]
[Quality(QualityBand.Experimental)]
public�struct�WrappedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, Diffable, SettableToUniform, CanGetLogProb<double>, 
	SettableTo<WrappedGaussian>, SettableToProduct<WrappedGaussian>, SettableToProduct<WrappedGaussian, WrappedGaussian>, 
	SettableToRatio<WrappedGaussian>, SettableToRatio<WrappedGaussian, WrappedGaussian>, 
	SettableToWeightedSum<WrappedGaussian>, SettableToPower<WrappedGaussian>, Sampleable<double>, 
	CanGetLogAverageOf<WrappedGaussian>, CanGetLogAverageOfPower<WrappedGaussian>, CanGetAverageLog<WrappedGaussian>

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

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

[SerializableAttribute]
[Quality(QualityBand::Experimental)]
public�value class�WrappedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, Diffable, SettableToUniform, CanGetLogProb<double>, 
	SettableTo<WrappedGaussian>, SettableToProduct<WrappedGaussian>, SettableToProduct<WrappedGaussian, WrappedGaussian>, 
	SettableToRatio<WrappedGaussian>, SettableToRatio<WrappedGaussian, WrappedGaussian>, 
	SettableToWeightedSum<WrappedGaussian>, SettableToPower<WrappedGaussian>, Sampleable<double>, 
	CanGetLogAverageOf<WrappedGaussian>, CanGetLogAverageOfPower<WrappedGaussian>, CanGetAverageLog<WrappedGaussian>

[SerializableAttribute]
[Quality(QualityBand::Experimental)]
public�value class�WrappedGaussian : IDistribution<double>, 
	ICloneable, HasPoint<double>, Diffable, SettableToUniform, CanGetLogProb<double>, 
	SettableTo<WrappedGaussian>, SettableToProduct<WrappedGaussian>, SettableToProduct<WrappedGaussian, WrappedGaussian>, 
	SettableToRatio<WrappedGaussian>, SettableToRatio<WrappedGaussian, WrappedGaussian>, 
	SettableToWeightedSum<WrappedGaussian>, SettableToPower<WrappedGaussian>, Sampleable<double>, 
	CanGetLogAverageOf<WrappedGaussian>, CanGetLogAverageOfPower<WrappedGaussian>, CanGetAverageLog<WrappedGaussian>

<SerializableAttribute> _
<Quality(QualityBand.Experimental)> _
Public�Structure�WrappedGaussian _
	Implements�IDistribution(Of�Double), ICloneable,  _
	HasPoint(Of�Double), Diffable, SettableToUniform, CanGetLogProb(Of�Double),  _
	SettableTo(Of�WrappedGaussian), SettableToProduct(Of�WrappedGaussian), SettableToProduct(Of�WrappedGaussian, WrappedGaussian),  _
	SettableToRatio(Of�WrappedGaussian), SettableToRatio(Of�WrappedGaussian, WrappedGaussian),  _
	SettableToWeightedSum(Of�WrappedGaussian), SettableToPower(Of�WrappedGaussian), Sampleable(Of�Double),  _
	CanGetLogAverageOf(Of�WrappedGaussian), CanGetLogAverageOfPower(Of�WrappedGaussian), CanGetAverageLog(Of�WrappedGaussian)

<SerializableAttribute> _
<Quality(QualityBand.Experimental)> _
Public�Structure�WrappedGaussian _
	Implements�IDistribution(Of�Double), ICloneable,  _
	HasPoint(Of�Double), Diffable, SettableToUniform, CanGetLogProb(Of�Double),  _
	SettableTo(Of�WrappedGaussian), SettableToProduct(Of�WrappedGaussian), SettableToProduct(Of�WrappedGaussian, WrappedGaussian),  _
	SettableToRatio(Of�WrappedGaussian), SettableToRatio(Of�WrappedGaussian, WrappedGaussian),  _
	SettableToWeightedSum(Of�WrappedGaussian), SettableToPower(Of�WrappedGaussian), Sampleable(Of�Double),  _
	CanGetLogAverageOf(Of�WrappedGaussian), CanGetLogAverageOfPower(Of�WrappedGaussian), CanGetAverageLog(Of�WrappedGaussian)

Remarks

The distribution is represented by a unwrapped Gaussian and a period length L. To get the wrapped density, the unwrapped density is summed over all shifts by L, i.e. p(x) = sum_k N(x + Lk; m, v) over all integers k The wrapped density is automatically normalized over the range [0,L) because it simply moves the probability mass that was previously distributed over the real line to all lie in the interval [0,L).