InnerProductPartialCovarianceOp
AAverageLogarithm(Gaussian, DistributionStructArray<Gaussian, Double>, VectorGaussian, Vector, PositiveDefiniteMatrix, DistributionStructArray<Gaussian, Double>)
AverageLogFactor()
BAverageLogarithm(Gaussian, Double[], VectorGaussian)
BAverageLogarithm(Gaussian, DistributionStructArray<Gaussian, Double>, VectorGaussian)
CovarianceOfB(VectorGaussian, PositiveDefiniteMatrix)
CovarianceOfBInit(VectorGaussian)
Eaat(DistributionStructArray<Gaussian, Double>, PositiveDefiniteMatrix)
EaatInit(DistributionStructArray<Gaussian, Double>)
Ebbt(PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)
EbbtInit(VectorGaussian)
MeanOfB(VectorGaussian, PositiveDefiniteMatrix, Vector)
MeanOfBInit(VectorGaussian)
XAverageLogarithm(Double[], VectorGaussian, Vector, PositiveDefiniteMatrix)
XAverageLogarithm(DistributionStructArray<Gaussian, Double>, VectorGaussian, Vector, PositiveDefiniteMatrix)
XAverageLogarithmInit()
xamarinmac
namespace Microsoft.ML.Probabilistic.Factors
{
[Buffers(new[] { "MeanOfB", "CovarianceOfB" })]
[FactorMethod(typeof(Factor), "InnerProduct", new[] { typeof(double[]), typeof(Vector) })]
[Quality(QualityBand.Preview)]
public static class InnerProductPartialCovarianceOp
{
public static Vector MeanOfB([Proper] VectorGaussian B, PositiveDefiniteMatrix CovarianceOfB, 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