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
{
public static double LogEvidenceRatio(Vector sum, Vector aMean, PositiveDefiniteMatrix aVariance, Vector bMean, PositiveDefiniteMatrix bVariance);
}
}
.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