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)
net5.0
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 net5.0 | |
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 API is supported on all platforms. |
- Built-in API
- Package-provided API