SplitSubarrayOp<T>
ArrayAverageConditional<DistributionType, ArrayType>(IList<IList<Int32>>, IReadOnlyList<IReadOnlyList<T>>, ArrayType)
ArrayAverageConditional<DistributionType, ArrayType>(IReadOnlyList<IReadOnlyList<DistributionType>>, IList<IList<Int32>>, ArrayType)
ArrayAverageLogarithm<DistributionType, ArrayType>(IList<IList<Int32>>, IReadOnlyList<IReadOnlyList<T>>, ArrayType)
ArrayAverageLogarithm<DistributionType, ArrayType>(IReadOnlyList<IReadOnlyList<DistributionType>>, IList<IList<Int32>>, ArrayType)
AverageLogFactor(IReadOnlyList<IReadOnlyList<T>>, IReadOnlyList<T>, IList<IList<Int32>>)
AverageLogFactor<DistributionType, ItemType>(IList<DistributionType>, IList<ItemType>, IList<IList<Int32>>)
AverageLogFactor<DistributionType, ItemType>(IList<ItemType>, IList<DistributionType>, IList<IList<Int32>>)
AverageLogFactor<DistributionType, ItemType>(IList<ItemType>, IList<T>, IList<IList<Int32>>)
ItemsAverageConditional<DistributionType, ItemType>(IReadOnlyList<DistributionType>, IList<IList<Int32>>, Int32, ItemType)
ItemsAverageLogarithm<DistributionType, ItemType, ResultType>(IList<DistributionType>, IList<IList<Int32>>, ResultType)
LogAverageFactor(IReadOnlyList<IReadOnlyList<T>>, IReadOnlyList<T>, IList<IList<Int32>>)
LogAverageFactor<DistributionType>(IList<DistributionType>, IReadOnlyList<IReadOnlyList<T>>, IList<IList<Int32>>)
LogAverageFactor<DistributionType>(IReadOnlyList<IReadOnlyList<DistributionType>>, IList<DistributionType>, IList<IList<Int32>>)
LogAverageFactor<DistributionType>(IReadOnlyList<IReadOnlyList<DistributionType>>, IReadOnlyList<T>, IList<IList<Int32>>)
LogEvidenceRatio(IReadOnlyList<IReadOnlyList<T>>, IReadOnlyList<T>, IList<IList<Int32>>)
LogEvidenceRatio<DistributionType>(IList<DistributionType>, IReadOnlyList<IReadOnlyList<T>>, IList<IList<Int32>>)
LogEvidenceRatio<DistributionType, ItemType>(IList<ItemType>, IList<T>, IList<IList<Int32>>)
LogEvidenceRatio<DistributionType, ItemArrayType, ItemType>(ItemArrayType, IList<DistributionType>, IList<IList<Int32>>, ItemArrayType)
netstandard2.0
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Collection), "SplitSubarray<>", new[] { }, Default = true)]
[Quality(QualityBand.Preview)]
public static class SplitSubarrayOp<T>
{
public static double LogEvidenceRatio<DistributionType, ItemArrayType, ItemType>(ItemArrayType items, IList<DistributionType> array, IList<IList<int>> indices, ItemArrayType to_items)
where DistributionType, CanGetLogAverageOf<DistributionType>, SettableToUniform, SettableToProduct<DistributionType>, ICloneable
where ItemArrayType, IList<ItemType>
where ItemType, IList<DistributionType>;
}
}
.NET | 5.06.07.08.09.010.0 |
---|---|
.NET Core | 2.02.12.23.03.1 |
.NET Framework | 4.6.14.6.24.74.7.14.7.24.84.8.1 |
.NET Standard | 2.02.1 |
Information specific to netstandard2.0 | |
Assembly | Microsoft.ML.Probabilistic , Version=0.4.2403.801, PublicKeyToken=e4813102a62778da |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML.Probabilistic (0.4.2403.801) netstandard2.0 |
Platform Restrictions | This framework does not have platform annotations. |
- Built-in API
- Package-provided API