Class GetItemsOp<T>
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Factors
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
[FactorMethod(typeof(Collection), "GetItems<>", new Type[]{}, Default = true)]
[Quality(QualityBand.Mature)]
[Buffers(new string[]{"marginal"})]
public static class GetItemsOp<T>
  Type Parameters
| Name | Description | 
|---|---|
| T | The type of an item.  | 
      
Methods
ArrayAverageConditional<DistributionType, ArrayType>(IReadOnlyList<DistributionType>, IReadOnlyList<Int32>, ArrayType)
EP message to array.
Declaration
public static ArrayType ArrayAverageConditional<DistributionType, ArrayType>([SkipIfAllUniform] IReadOnlyList<DistributionType> items, IReadOnlyList<int> indices, ArrayType result)
    where DistributionType : SettableToProduct<DistributionType> where ArrayType : IList<DistributionType>, SettableToUniform
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| ArrayType | result | Modified to contain the outgoing message.  | 
      
Returns
| Type | Description | 
|---|---|
| ArrayType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
| ArrayType | The type of the resulting array.  | 
      
Remarks
The outgoing message is a distribution matching the moments of array as the random arguments are varied. The formula is proj[p(array) sum_(items) p(items) factor(items,array,indices)]/p(array).
Exceptions
| Type | Condition | 
|---|---|
| ImproperMessageException | 
  | 
      
ArrayAverageConditional<DistributionType, ArrayType>(IReadOnlyList<T>, IReadOnlyList<Int32>, ArrayType)
EP message to array.
Declaration
public static ArrayType ArrayAverageConditional<DistributionType, ArrayType>([SkipIfAllUniform] IReadOnlyList<T> items, IReadOnlyList<int> indices, ArrayType result)
    where DistributionType : HasPoint<T> where ArrayType : IList<DistributionType>, SettableToUniform
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| ArrayType | result | Modified to contain the outgoing message.  | 
      
Returns
| Type | Description | 
|---|---|
| ArrayType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
| ArrayType | The type of the resulting array.  | 
      
Remarks
The outgoing message is a distribution matching the moments of array as the random arguments are varied. The formula is proj[p(array) sum_(items) p(items) factor(items,array,indices)]/p(array).
Exceptions
| Type | Condition | 
|---|---|
| ImproperMessageException | 
  | 
      
ArrayAverageLogarithm<DistributionType, ArrayType>(IReadOnlyList<DistributionType>, IReadOnlyList<Int32>, ArrayType)
VMP message to array.
Declaration
public static ArrayType ArrayAverageLogarithm<DistributionType, ArrayType>([SkipIfAllUniform] IReadOnlyList<DistributionType> items, IReadOnlyList<int> indices, ArrayType result)
    where DistributionType : SettableToUniform, SettableToProduct<DistributionType> where ArrayType : IList<DistributionType>, SettableToUniform
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| ArrayType | result | Modified to contain the outgoing message.  | 
      
Returns
| Type | Description | 
|---|---|
| ArrayType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
| ArrayType | The type of the resulting array.  | 
      
Remarks
The outgoing message is the factor viewed as a function of array with items integrated out. The formula is sum_items p(items) factor(items,array,indices).
Exceptions
| Type | Condition | 
|---|---|
| ImproperMessageException | 
  | 
      
ArrayAverageLogarithm<DistributionType, ArrayType>(IReadOnlyList<T>, IReadOnlyList<Int32>, ArrayType)
VMP message to array.
Declaration
public static ArrayType ArrayAverageLogarithm<DistributionType, ArrayType>(IReadOnlyList<T> items, IReadOnlyList<int> indices, ArrayType result)
    where DistributionType : HasPoint<T> where ArrayType : IList<DistributionType>, SettableToUniform
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| ArrayType | result | Modified to contain the outgoing message.  | 
      
Returns
| Type | Description | 
|---|---|
| ArrayType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
| ArrayType | The type of the resulting array.  | 
      
Remarks
The outgoing message is the factor viewed as a function of array with items integrated out. The formula is sum_items p(items) factor(items,array,indices).
AverageLogFactor(IReadOnlyList<T>, IReadOnlyList<T>, IReadOnlyList<Int32>)
Evidence message for VMP.
Declaration
public static double AverageLogFactor(IReadOnlyList<T> items, IReadOnlyList<T> array, IReadOnlyList<int> indices)
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<T> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Zero.  | 
      
Remarks
In Variational Message Passing, the evidence contribution of a deterministic factor is zero. Adding up these values across all factors and variables gives the log-evidence estimate for VMP.
AverageLogFactor<DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<DistributionType>)
Evidence message for VMP.
Declaration
public static double AverageLogFactor<DistributionType>(IReadOnlyList<DistributionType> items, IReadOnlyList<DistributionType> array)
    where DistributionType : SettableToProduct<DistributionType>, CanGetLogAverageOf<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<DistributionType> | array | Incoming message from   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Zero.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
In Variational Message Passing, the evidence contribution of a deterministic factor is zero. Adding up these values across all factors and variables gives the log-evidence estimate for VMP.
AverageLogFactor<DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<T>)
Evidence message for VMP.
Declaration
public static double AverageLogFactor<DistributionType>(IReadOnlyList<DistributionType> items, IReadOnlyList<T> array)
    where DistributionType : CanGetLogProb<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<T> | array | Incoming message from   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Zero.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
In Variational Message Passing, the evidence contribution of a deterministic factor is zero. Adding up these values across all factors and variables gives the log-evidence estimate for VMP.
AverageLogFactor<DistributionType>(IReadOnlyList<T>, IReadOnlyList<DistributionType>)
Evidence message for VMP.
Declaration
public static double AverageLogFactor<DistributionType>(IReadOnlyList<T> items, IReadOnlyList<DistributionType> array)
    where DistributionType : HasPoint<T>, CanGetLogProb<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<DistributionType> | array | Incoming message from   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Zero.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
In Variational Message Passing, the evidence contribution of a deterministic factor is zero. Adding up these values across all factors and variables gives the log-evidence estimate for VMP.
ItemsAverageConditional<ArrayType, DistributionType>(DistributionType, ArrayType, ArrayType, IReadOnlyList<Int32>, Int32, DistributionType)
EP message to items.
Declaration
public static DistributionType ItemsAverageConditional<ArrayType, DistributionType>(DistributionType items, ArrayType array, [SkipIfAllUniform] ArrayType marginal, IReadOnlyList<int> indices, int resultIndex, DistributionType result)
    where ArrayType : IList<DistributionType> where DistributionType : SettableToProduct<DistributionType>, SettableToRatio<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| DistributionType | items | Incoming message from   | 
      
| ArrayType | array | Incoming message from   | 
      
| ArrayType | marginal | Buffer   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| Int32 | resultIndex | Index of the   | 
      
| DistributionType | result | Modified to contain the outgoing message.  | 
      
Returns
| Type | Description | 
|---|---|
| DistributionType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| ArrayType | The type of an array for the marginal.  | 
      
| 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) p(array) factor(items,array,indices)]/p(items).
ItemsAverageLogarithm<DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<Int32>, Int32, DistributionType)
VMP message to items.
Declaration
public static DistributionType ItemsAverageLogarithm<DistributionType>([SkipIfAllUniform] IReadOnlyList<DistributionType> array, IReadOnlyList<int> indices, int resultIndex, DistributionType result)
    where DistributionType : SettableTo<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| Int32 | resultIndex | Index of the   | 
      
| DistributionType | result | Modified to contain the outgoing message.  | 
      
Returns
| Type | Description | 
|---|---|
| DistributionType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| 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[sum_(array) p(array) factor(items,array,indices)].
Exceptions
| Type | Condition | 
|---|---|
| ImproperMessageException | 
  | 
      
ItemsAverageLogarithm2<DistributionType, ResultType>(IReadOnlyList<DistributionType>, IReadOnlyList<Int32>, ResultType)
Declaration
public static ResultType ItemsAverageLogarithm2<DistributionType, ResultType>([SkipIfAllUniform] IReadOnlyList<DistributionType> array, IReadOnlyList<int> indices, ResultType result)
    where DistributionType : SettableTo<DistributionType> where ResultType : IList<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | array | |
| IReadOnlyList<Int32> | indices | |
| ResultType | result | 
Returns
| Type | Description | 
|---|---|
| ResultType | 
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | |
| ResultType | 
ItemsAverageLogarithmInit<TDist>(DistributionRefArray<TDist, T>, IReadOnlyList<Int32>)
Declaration
public static DistributionRefArray<TDist, T> ItemsAverageLogarithmInit<TDist>(DistributionRefArray<TDist, T> array, IReadOnlyList<int> indices)
    where TDist : class, SettableTo<TDist>, SettableToProduct<TDist>, SettableToRatio<TDist>, SettableToPower<TDist>, SettableToWeightedSum<TDist>, CanGetLogAverageOf<TDist>, CanGetLogAverageOfPower<TDist>, CanGetAverageLog<TDist>, IDistribution<T>, Sampleable<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| DistributionRefArray<TDist, T> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| DistributionRefArray<TDist, T> | 
Type Parameters
| Name | Description | 
|---|---|
| TDist | The type of a distribution over array elements.  | 
      
Remarks
ItemsAverageLogarithmInit<TDist>(DistributionStructArray<TDist, T>, IReadOnlyList<Int32>)
Declaration
public static DistributionStructArray<TDist, T> ItemsAverageLogarithmInit<TDist>(DistributionStructArray<TDist, T> array, IReadOnlyList<int> indices)
    where TDist : struct, SettableToProduct<TDist>, SettableToRatio<TDist>, SettableToPower<TDist>, SettableToWeightedSum<TDist>, CanGetLogAverageOf<TDist>, CanGetLogAverageOfPower<TDist>, CanGetAverageLog<TDist>, IDistribution<T>, Sampleable<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| DistributionStructArray<TDist, T> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| DistributionStructArray<TDist, T> | 
Type Parameters
| Name | Description | 
|---|---|
| TDist | The type of a distribution over array elements.  | 
      
Remarks
LogAverageFactor(IReadOnlyList<T>, IReadOnlyList<T>, IReadOnlyList<Int32>)
Evidence message for EP.
Declaration
public static double LogAverageFactor(IReadOnlyList<T> items, IReadOnlyList<T> array, IReadOnlyList<int> indices)
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<T> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's average value across the given argument distributions.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices)).
LogAverageFactor<DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<DistributionType>, IReadOnlyList<Int32>)
Evidence message for EP.
Declaration
public static double LogAverageFactor<DistributionType>(IReadOnlyList<DistributionType> items, IReadOnlyList<DistributionType> array, IReadOnlyList<int> indices)
    where DistributionType : IDistribution<T>, SettableToProduct<DistributionType>, CanGetLogAverageOf<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<DistributionType> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's average value across the given argument distributions.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices)).
LogAverageFactor<DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<T>, IReadOnlyList<Int32>)
Evidence message for EP.
Declaration
public static double LogAverageFactor<DistributionType>(IReadOnlyList<DistributionType> items, IReadOnlyList<T> array, IReadOnlyList<int> indices)
    where DistributionType : CanGetLogProb<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<T> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's average value across the given argument distributions.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices)).
LogAverageFactor<DistributionType>(IReadOnlyList<T>, IReadOnlyList<DistributionType>, IReadOnlyList<Int32>)
Evidence message for EP.
Declaration
public static double LogAverageFactor<DistributionType>(IReadOnlyList<T> items, IReadOnlyList<DistributionType> array, IReadOnlyList<int> indices)
    where DistributionType : HasPoint<T>, CanGetLogProb<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<DistributionType> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's average value across the given argument distributions.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices)).
LogEvidenceRatio(IReadOnlyList<T>, IReadOnlyList<T>, IReadOnlyList<Int32>)
Evidence message for EP.
Declaration
public static double LogEvidenceRatio(IReadOnlyList<T> items, IReadOnlyList<T> array, IReadOnlyList<int> indices)
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<T> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's contribution the EP model evidence.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices) / sum_items p(items) messageTo(items)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.
LogEvidenceRatio<DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<DistributionType>, IReadOnlyList<Int32>, IReadOnlyList<DistributionType>)
Evidence message for EP.
Declaration
public static double LogEvidenceRatio<DistributionType>(IReadOnlyList<DistributionType> items, IReadOnlyList<DistributionType> array, IReadOnlyList<int> indices, IReadOnlyList<DistributionType> to_items)
    where DistributionType : SettableToUniform, SettableToProduct<DistributionType>, CanGetLogAverageOf<DistributionType>, ICloneable
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<DistributionType> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| IReadOnlyList<DistributionType> | to_items | Previous outgoing message to   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's contribution the EP model evidence.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices) / sum_items p(items) messageTo(items)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.
LogEvidenceRatio<DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<T>, IReadOnlyList<Int32>)
Evidence message for EP.
Declaration
public static double LogEvidenceRatio<DistributionType>(IReadOnlyList<DistributionType> items, IReadOnlyList<T> array, IReadOnlyList<int> indices)
    where DistributionType : CanGetLogProb<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<T> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's contribution the EP model evidence.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices) / sum_items p(items) messageTo(items)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.
LogEvidenceRatio<DistributionType>(IReadOnlyList<T>, IReadOnlyList<DistributionType>, IReadOnlyList<Int32>)
Evidence message for EP.
Declaration
public static double LogEvidenceRatio<DistributionType>(IReadOnlyList<T> items, IReadOnlyList<DistributionType> array, IReadOnlyList<int> indices)
    where DistributionType : HasPoint<T>, CanGetLogProb<T>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<T> | items | Incoming message from   | 
      
| IReadOnlyList<DistributionType> | array | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
Returns
| Type | Description | 
|---|---|
| Double | Logarithm of the factor's contribution the EP model evidence.  | 
      
Type Parameters
| Name | Description | 
|---|---|
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
The formula for the result is log(sum_(items,array) p(items,array) factor(items,array,indices) / sum_items p(items) messageTo(items)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.
Marginal<ArrayType, DistributionType>(IReadOnlyList<DistributionType>, IReadOnlyList<DistributionType>, ArrayType)
Declaration
[SkipIfAllUniform(new string[]{"array", "to_array"})]
public static ArrayType Marginal<ArrayType, DistributionType>(IReadOnlyList<DistributionType> array, IReadOnlyList<DistributionType> to_array, ArrayType result)
    where ArrayType : IList<DistributionType>, SettableTo<ArrayType> where DistributionType : SettableToProduct<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| IReadOnlyList<DistributionType> | array | |
| IReadOnlyList<DistributionType> | to_array | |
| ArrayType | result | 
Returns
| Type | Description | 
|---|---|
| ArrayType | 
Type Parameters
| Name | Description | 
|---|---|
| ArrayType | The type of an array for the marginal.  | 
      
| DistributionType | The type of a distribution over array elements.  | 
      
Marginal2<ArrayType, DistributionType>(ArrayType, IReadOnlyList<DistributionType>, IReadOnlyList<Int32>, ArrayType)
Declaration
[SkipIfAllUniform(new string[]{"array", "items"})]
public static ArrayType Marginal2<ArrayType, DistributionType>(ArrayType array, IReadOnlyList<DistributionType> items, IReadOnlyList<int> indices, ArrayType result)
    where ArrayType : IList<DistributionType>, SettableTo<ArrayType> where DistributionType : SettableToProduct<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| ArrayType | array | Incoming message from   | 
      
| IReadOnlyList<DistributionType> | items | Incoming message from   | 
      
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| ArrayType | result | Modified to contain the outgoing message.  | 
      
Returns
| Type | Description | 
|---|---|
| ArrayType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| ArrayType | The type of an array for the marginal.  | 
      
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
MarginalIncrement<ArrayType, DistributionType>(ArrayType, DistributionType, DistributionType, IReadOnlyList<Int32>, Int32)
Declaration
public static ArrayType MarginalIncrement<ArrayType, DistributionType>(ArrayType result, DistributionType to_item, DistributionType item, IReadOnlyList<int> indices, int resultIndex)
    where ArrayType : IList<DistributionType>, SettableTo<ArrayType> where DistributionType : SettableToProduct<DistributionType>
  Parameters
| Type | Name | Description | 
|---|---|---|
| ArrayType | result | Modified to contain the outgoing message.  | 
      
| DistributionType | to_item | |
| DistributionType | item | |
| IReadOnlyList<Int32> | indices | Constant value for   | 
      
| Int32 | resultIndex | Index of the   | 
      
Returns
| Type | Description | 
|---|---|
| ArrayType | 
  | 
      
Type Parameters
| Name | Description | 
|---|---|
| ArrayType | The type of an array for the marginal.  | 
      
| DistributionType | The type of a distribution over array elements.  | 
      
Remarks
MarginalInit<ArrayType>(ArrayType)
Initialize the buffer marginal.
Declaration
public static ArrayType MarginalInit<ArrayType>(ArrayType array)
    where ArrayType : ICloneable
  Parameters
| Type | Name | Description | 
|---|---|---|
| ArrayType | array | Incoming message from   | 
      
Returns
| Type | Description | 
|---|---|
| ArrayType | Initial value of buffer   | 
      
Type Parameters
| Name | Description | 
|---|---|
| ArrayType | The type of an array for the marginal.  | 
      
Remarks
Exceptions
| Type | Condition | 
|---|---|
| ImproperMessageException | 
  |