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)
netcoreapp2.0
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 PositiveDefiniteMatrix BVariance([Proper] VectorGaussian b, PositiveDefiniteMatrix 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 netcoreapp2.0 | |
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 framework does not have platform annotations. |
- Built-in API
- Package-provided API