Class IndexOfMaximumOp_Fast

Provides outgoing messages for IndexOfMaximumDouble(IList<Double>), given random arguments to the function.

Inheritance

Object

IndexOfMaximumOp_Fast

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(MMath), "IndexOfMaximumDouble", new Type[]{}, Default = false)]
[Quality(QualityBand.Experimental)]
public static class IndexOfMaximumOp_Fast

Methods

IndexOfMaximumDoubleAverageConditional(IList<Gaussian>, Discrete)

EP message to indexOfMaximumDouble.

Declaration

public static Discrete IndexOfMaximumDoubleAverageConditional(IList<Gaussian> list, Discrete result)

Parameters

Type	Name	Description
IList<Gaussian>	list	Incoming message from `list`. Must be a proper distribution. If any element is uniform, the result will be uniform.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	`list` is not a proper distribution.

IndexOfMaximumDoubleAverageConditional2(IList<Gaussian>, Discrete)