Class BufferTesterCopyOp

Provides outgoing messages for Microsoft.ML.Probabilistic.Factors.BufferTester.Copy``1(``0), given random arguments to the function.

Inheritance

Object

BufferTesterCopyOp

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(BufferTester), "Copy<>", new Type[]{})]
[Buffers(new string[]{"buffer"})]
[Quality(QualityBand.Experimental)]
public static class BufferTesterCopyOp

Methods

Buffer<T>(T, T, T)

Update the buffer buffer.

Declaration

public static T Buffer<T>(T copy, T value, T result)

Parameters

Type	Name	Description
T	copy	Incoming message from copy.
T	value	Incoming message from value.
T	result	Modified to contain the outgoing message.

Returns

Type	Description
T	result

Type Parameters

Name	Description
T	The type of the value.

Remarks

BufferInit<T>(T)

Initialize the buffer buffer.

Declaration

public static T BufferInit<T>(T value)

Parameters

Type	Name	Description
T	value	Incoming message from value.

Returns

Type	Description
T	Initial value of buffer buffer.

Type Parameters

Name	Description
T	The type of the value.

Remarks

CopyAverageConditional<T>(T, T)

EP message to copy.

Declaration

public static T CopyAverageConditional<T>(T value, T buffer)

Parameters

Type	Name	Description
T	value	Incoming message from value.
T	buffer	Buffer buffer.

Returns

Type	Description
T	The outgoing EP message to the copy argument.

Type Parameters

Name	Description
T	The type of the value.

Remarks

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

ValueAverageConditional<T>(T)

EP message to value.

Declaration

public static T ValueAverageConditional<T>(T copy)

Parameters

Type	Name	Description
T	copy	Incoming message from copy.

Returns

Type	Description
T	The outgoing EP message to the value argument.

Type Parameters

Name	Description
T	The type of the value.

Remarks

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