Class VariablePointOp_RpropBeta

Inheritance

Object

VariablePointOpBase

VariablePointOp_RpropBeta

Inherited Members

VariablePointOpBase.LogEvidenceRatio<TDist>(TDist, TDist, TDist)

VariablePointOpBase.MarginalAverageConditionalInit<TDist>(TDist)

VariablePointOpBase.UseAverageConditional<TDist>(TDist)

VariablePointOpBase.DefAverageConditional<TDist>(TDist)

VariablePointOpBase.AverageLogFactor()

VariablePointOpBase.UseAverageLogarithm<TDist>(TDist)

VariablePointOpBase.DefAverageLogarithm<TDist>(TDist)

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: Microsoft.ML.Probabilistic.Factors

Assembly: Microsoft.ML.Probabilistic.dll

Syntax

[FactorMethod(typeof(Clone), "VariablePoint<>", new Type[]{}, Default = true)]
[Buffers(new string[]{"bufferBeta"})]
[Quality(QualityBand.Preview)]
public class VariablePointOp_RpropBeta : VariablePointOpBase

Methods

BufferBeta(Beta, Beta, Beta, RpropBufferData)

Declaration

[SkipIfAllUniform]
public static RpropBufferData BufferBeta(Beta use, Beta def, Beta to_marginal, RpropBufferData bufferBeta)

Parameters

Type	Name	Description
Beta	use
Beta	def
Beta	to_marginal
RpropBufferData	bufferBeta

Returns

Type	Description
RpropBufferData

BufferBetaInit()

Declaration

public static RpropBufferData BufferBetaInit()

Returns

Type	Description
RpropBufferData

MarginalAverageConditional(Beta, Beta, RpropBufferData, Beta)

EP message to marginal.

Declaration

public static Beta MarginalAverageConditional(Beta use, Beta def, RpropBufferData bufferBeta, Beta result)

Parameters

Type	Name	Description
Beta	use	Incoming message from use.
Beta	def	Incoming message from def.
RpropBufferData	bufferBeta	Buffer bufferBeta.
Beta	result	Modified to contain the outgoing message.

Returns

Type	Description
Beta	result

Remarks

The outgoing message is a distribution matching the moments of marginal as the random arguments are varied. The formula is proj[p(marginal) sum_(use,def) p(use,def) factor(use,def,marginal)]/p(marginal).