Class GetJaggedItemsFromJaggedPointOp<T>

Provides outgoing messages for GetJaggedItemsFromJagged<T>(IReadOnlyList<IReadOnlyList<T>>, IReadOnlyList<IReadOnlyList<Int32>>, IReadOnlyList<IReadOnlyList<Int32>>), given random arguments to the function.

Inheritance

Object

GetJaggedItemsFromJaggedPointOp<T>

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(Collection), "GetJaggedItemsFromJagged<>", new Type[]{}, Default = false)]
[Quality(QualityBand.Experimental)]
public static class GetJaggedItemsFromJaggedPointOp<T>

Type Parameters

Name	Description
T	The type of an item.

Methods

ItemsAverageConditional<ItemType, DistributionType>(IList<ItemType>, IList<IList<Int32>>, IList<IList<Int32>>, Int32, ItemType)

EP message to items.

Declaration

public static ItemType ItemsAverageConditional<ItemType, DistributionType>([SkipIfAllUniform] IList<ItemType> array, IList<IList<int>> indices, IList<IList<int>> indices2, int resultIndex, ItemType result)
    where ItemType : IList<DistributionType> where DistributionType : SettableTo<DistributionType>

Parameters

Type	Name	Description
IList<ItemType>	array	Incoming message from array. Must be a proper distribution. If all elements are uniform, the result will be uniform.
IList<IList<Int32>>	indices	Incoming message from indices.
IList<IList<Int32>>	indices2	Incoming message from indices2.
Int32	resultIndex	Index of the items for which a message is desired.
ItemType	result	Modified to contain the outgoing message.

Returns

Type	Description
ItemType	result

Type Parameters

Name	Description
ItemType	The type of a sub-array.
DistributionType	The type of a distribution over array elements.

Remarks

The outgoing message is a distribution matching the moments of items as the random arguments are varied. The formula is proj[p(items) sum_(array,indices,indices2) p(array,indices,indices2) factor(items,array,indices,indices2)]/p(items).

Exceptions

Type	Condition
ImproperMessageException	array is not a proper distribution.