Class LinearOp

Provides outgoing messages for Linear(Int32, Int32, Double), given random arguments to the function.

Inheritance

Object

LinearOp

Inherited Members

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(Undirected), "Linear", new Type[]{})]
[Quality(QualityBand.Experimental)]
public class LinearOp

Methods

AMaxConditional(UnnormalizedDiscrete, Double, UnnormalizedDiscrete)

Declaration

public static UnnormalizedDiscrete AMaxConditional(UnnormalizedDiscrete B, double logUnitCost, UnnormalizedDiscrete result)

Parameters

Type	Name	Description
UnnormalizedDiscrete	B	Incoming message from b.
Double	logUnitCost	Constant value for logUnitCost.
UnnormalizedDiscrete	result	Modified to contain the outgoing message.

Returns

Type	Description
UnnormalizedDiscrete	result

Remarks

BMaxConditional(UnnormalizedDiscrete, Double, UnnormalizedDiscrete)

Declaration

public static UnnormalizedDiscrete BMaxConditional(UnnormalizedDiscrete A, double logUnitCost, UnnormalizedDiscrete result)

Parameters

Type	Name	Description
UnnormalizedDiscrete	A	Incoming message from a.
Double	logUnitCost	Constant value for logUnitCost.
UnnormalizedDiscrete	result	Modified to contain the outgoing message.

Returns

Type	Description
UnnormalizedDiscrete	result

Remarks