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)
net6.0-windows
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
}
.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 net6.0 | |
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