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

Methods

BufferTGa(TruncatedGamma, TruncatedGamma, TruncatedGamma, RpropBufferData)

Declaration

[SkipIfAllUniform]
public static RpropBufferData BufferTGa(TruncatedGamma use, TruncatedGamma def, TruncatedGamma to_marginal, RpropBufferData bufferTGa)

Parameters

Type	Name	Description
TruncatedGamma	use
TruncatedGamma	def
TruncatedGamma	to_marginal
RpropBufferData	bufferTGa

Returns

Type	Description
RpropBufferData

BufferTGaInit()

Declaration

public static RpropBufferData BufferTGaInit()

Returns

Type	Description
RpropBufferData

MarginalAverageConditional(TruncatedGamma, TruncatedGamma, RpropBufferData, TruncatedGamma)

EP message to marginal.

Declaration

public static TruncatedGamma MarginalAverageConditional(TruncatedGamma use, TruncatedGamma def, RpropBufferData bufferTGa, TruncatedGamma result)

Parameters

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

Returns

Type	Description
TruncatedGamma	`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).