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)
xamarinios
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 VectorGaussian SourceAverageConditional([SkipIfUniform] VectorGaussian subvector, int startIndex, VectorGaussian 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 xamarinios | |
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