SubvectorOp
AverageLogFactor()
AverageLogFactor(Vector, Vector, Int32)
LogAverageFactor(VectorGaussian, VectorGaussian)
LogAverageFactor(Vector, Vector, Int32)
LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix, Int32)
LogEvidenceRatio(VectorGaussian)
LogEvidenceRatio(Vector, Vector, Int32)
LogEvidenceRatio(Vector, Vector, PositiveDefiniteMatrix, Int32)
SourceAverageConditional(Vector, Int32, VectorGaussian)
SourceAverageConditional(VectorGaussian, Int32, VectorGaussian)
SourceAverageLogarithm(Vector, Int32, VectorGaussian)
SourceAverageLogarithm(VectorGaussian, Int32, VectorGaussian)
SourceMean(VectorGaussian, PositiveDefiniteMatrix, Vector)
SourceMeanInit(VectorGaussian)
SourceVariance(VectorGaussian, PositiveDefiniteMatrix)
SourceVarianceInit(VectorGaussian)
SubvectorAverageConditional(Vector, PositiveDefiniteMatrix, Int32, VectorGaussian)
SubvectorAverageConditionalInit(Int32)
SubvectorAverageLogarithm(Vector, PositiveDefiniteMatrix, Int32, VectorGaussian)
SubvectorAverageLogarithmInit(Int32)
netcoreapp2.2
namespace Microsoft.ML.Probabilistic.Factors
{
[Buffers(new[] { "SourceMean", "SourceVariance" })]
[FactorMethod(typeof(Vector), "Subvector", new[] { typeof(Vector), typeof(int), typeof(int) })]
[Quality(QualityBand.Stable)]
public static class SubvectorOp
{
[Fresh]
public static PositiveDefiniteMatrix SourceVariance([Proper] VectorGaussian Source, PositiveDefiniteMatrix result);
}
}
.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 netcoreapp2.2 | |
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