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

Methods

BufferTG(TruncatedGaussian, TruncatedGaussian, TruncatedGaussian, RpropBufferData)

Declaration

[SkipIfAllUniform]
public static RpropBufferData BufferTG(TruncatedGaussian use, TruncatedGaussian def, TruncatedGaussian to_marginal, RpropBufferData bufferTG)

Parameters

Type	Name	Description
TruncatedGaussian	use
TruncatedGaussian	def
TruncatedGaussian	to_marginal
RpropBufferData	bufferTG

Returns

Type	Description
RpropBufferData

BufferTGInit()

Declaration

public static RpropBufferData BufferTGInit()

Returns

Type	Description
RpropBufferData

MarginalAverageConditional(TruncatedGaussian, TruncatedGaussian, RpropBufferData, TruncatedGaussian)

EP message to marginal.

Declaration

public static TruncatedGaussian MarginalAverageConditional(TruncatedGaussian use, TruncatedGaussian def, RpropBufferData bufferTG, TruncatedGaussian result)

Parameters

Type	Name	Description
TruncatedGaussian	use	Incoming message from `use`.
TruncatedGaussian	def	Incoming message from `def`.
RpropBufferData	bufferTG	Buffer `bufferTG`.
TruncatedGaussian	result	Modified to contain the outgoing message.

Returns

Type	Description
TruncatedGaussian	`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).