PlusVectorOp
AAverageConditional(VectorGaussian, Vector, VectorGaussian)
AAverageConditional(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)
AAverageLogarithm(VectorGaussian, Vector, VectorGaussian)
AConditional(Vector, Vector, VectorGaussian)
AMean(VectorGaussian, PositiveDefiniteMatrix, Vector)
AMeanInit(VectorGaussian)
AVariance(VectorGaussian, PositiveDefiniteMatrix)
AVarianceInit(VectorGaussian)
AverageLogFactor(VectorGaussian)
AverageLogFactor(Vector, VectorGaussian)
AverageLogFactor(Vector, Vector, Vector)
AverageLogFactor(Vector, Vector, VectorGaussian)
BAverageConditional(VectorGaussian, Vector, VectorGaussian)
BAverageConditional(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)
BAverageLogarithm(VectorGaussian, Vector, VectorGaussian)
BMean(VectorGaussian, PositiveDefiniteMatrix, Vector)
BMeanInit(VectorGaussian)
BVariance(VectorGaussian, PositiveDefiniteMatrix)
BVarianceInit(VectorGaussian)
LogAverageFactor(Vector, Vector, Vector)
LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio(VectorGaussian)
LogEvidenceRatio(Vector, Vector, Vector)
LogEvidenceRatio(Vector, Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)
SumAverageConditional(Vector, VectorGaussian, VectorGaussian)
SumAverageConditional(VectorGaussian, Vector, VectorGaussian)
SumAverageConditional(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)
SumAverageLogarithm(Vector, VectorGaussian, VectorGaussian)
SumAverageLogarithm(VectorGaussian, Vector, VectorGaussian)
SumAverageLogarithm(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)
SumConditional(Vector, Vector, VectorGaussian)
SumMean(VectorGaussian, PositiveDefiniteMatrix, Vector)
SumMeanInit(VectorGaussian)
SumVariance(VectorGaussian, PositiveDefiniteMatrix)
SumVarianceInit(VectorGaussian)
xamarinmac
namespace Microsoft.ML.Probabilistic.Factors
{
[Buffers(new[] { "SumMean", "SumVariance", "aMean", "aVariance", "bMean", "bVariance" })]
[FactorMethod(typeof(Factor), "Plus", new[] { typeof(Vector), typeof(Vector) }, Default = true)]
[Quality(QualityBand.Experimental)]
public static class PlusVectorOp
{
[Fresh]
public static Vector BMean([Proper] VectorGaussian b, PositiveDefiniteMatrix bVariance, Vector 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 xamarinmac | |
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