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)
xamarinwatchos
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
{
public static double LogEvidenceRatio(Vector subvector, Vector SourceMean, PositiveDefiniteMatrix SourceVariance, int startIndex);
}
}
.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 xamarinwatchos | |
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