Class ReplicateOp_NoDivide

Provides outgoing messages for the following factors:

• Replicate<T>(T, Int32)
• ReplicateWithMarginal<T>(T, Int32, out T)

, given random arguments to the function.

Inheritance

Object

ReplicateOp_NoDivide

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(Clone), "Replicate<>", new Type[]{}, Default = false)]
[FactorMethod(typeof(Clone), "ReplicateWithMarginal<>", new Type[]{}, Default = false)]
[Quality(QualityBand.Mature)]
public static class ReplicateOp_NoDivide

Methods

DefAverageConditional<T>(T[], T)

EP message to Def.

Declaration

public static T DefAverageConditional<T>([SkipIfAllUniform] T[] Uses, T result)
    where T : SettableToProduct<T>, SettableTo<T>, SettableToUniform

Parameters

Type	Name	Description
T[]	Uses	Incoming message from Uses. Must be a proper distribution. If all elements are uniform, the result will be uniform.
T	result	Modified to contain the outgoing message.

Returns

Type	Description
T	result

Type Parameters

Name	Description
T	The type of the messages.

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	Uses is not a proper distribution.

DefAverageConditional<T>(IReadOnlyList<T>, T)

Declaration

public static T DefAverageConditional<T>([SkipIfAllUniform] IReadOnlyList<T> Uses, T result)
    where T : SettableToProduct<T>, SettableTo<T>, SettableToUniform

Parameters

Type	Name	Description
IReadOnlyList<T>	Uses
T	result

Returns

Type	Description
T

Type Parameters

Name	Description
T	The type of the messages.

MarginalAverageConditional<T>(T[], T, T)

Declaration

[SkipIfAllUniform]
public static T MarginalAverageConditional<T>(T[] Uses, T Def, T result)
    where T : SettableToProduct<T>, SettableTo<T>

Parameters

Type	Name	Description
T[]	Uses	Incoming message from Uses.
T	Def	Incoming message from Def.
T	result	Modified to contain the outgoing message.

Returns

Type	Description
T	result

Type Parameters

Name	Description
T	The type of the messages.

Remarks

MarginalAverageConditional<T>(IReadOnlyList<T>, T, T)

Declaration

[SkipIfAllUniform]
public static T MarginalAverageConditional<T>(IReadOnlyList<T> Uses, T Def, T result)
    where T : SettableToProduct<T>, SettableTo<T>

Parameters

Type	Name	Description
IReadOnlyList<T>	Uses
T	Def
T	result

Returns

Type	Description
T

Type Parameters

Name	Description
T	The type of the messages.

UsesAverageConditional<T>(T[], T, Int32, T)

EP message to Uses.

Declaration

[SkipIfAllUniform]
public static T UsesAverageConditional<T>(T[] Uses, T Def, int resultIndex, T result)
    where T : SettableToProduct<T>, SettableTo<T>

Parameters

Type	Name	Description
T[]	Uses	Incoming message from Uses.
T	Def	Incoming message from Def.
Int32	resultIndex	Index of the Uses for which a message is desired.
T	result	Modified to contain the outgoing message.

Returns

Type	Description
T	result

Type Parameters

Name	Description
T	The type of the messages.

Remarks

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

UsesAverageConditional<T>(IReadOnlyList<T>, T, Int32, T)

Declaration

[SkipIfAllUniform]
public static T UsesAverageConditional<T>(IReadOnlyList<T> Uses, T Def, int resultIndex, T result)
    where T : SettableToProduct<T>, SettableTo<T>

Parameters

Type	Name	Description
IReadOnlyList<T>	Uses
T	Def
Int32	resultIndex
T	result

Returns

Type	Description
T

Type Parameters

Name	Description
T	The type of the messages.