InnerProductOpBase
InnerProductOpBase()
AAverageConditional(Double, Vector, VectorGaussian)
AAverageConditional(Gaussian, Vector, VectorGaussian)
AAverageConditional(Gaussian, Vector, DenseVector, PositiveDefiniteMatrix, VectorGaussian)
AAverageLogarithm(Double, Vector, VectorGaussian)
AAverageLogarithm(Double, VectorGaussian, VectorGaussian)
AAverageLogarithm(Gaussian, Vector, VectorGaussian)
AAverageLogarithm(Gaussian, VectorGaussian, DenseVector, PositiveDefiniteMatrix, VectorGaussian)
AMean(VectorGaussian, PositiveDefiniteMatrix, DenseVector)
AMeanInit(VectorGaussian)
AVariance(VectorGaussian, PositiveDefiniteMatrix)
AVarianceInit(VectorGaussian)
AverageLogFactor()
BAverageConditional(Double, Vector, VectorGaussian)
BAverageConditional(Gaussian, Vector, VectorGaussian)
BAverageLogarithm(Double, Vector, VectorGaussian)
BAverageLogarithm(Double, VectorGaussian, VectorGaussian)
BAverageLogarithm(Gaussian, Vector, VectorGaussian)
BAverageLogarithm(Gaussian, VectorGaussian, DenseVector, PositiveDefiniteMatrix, VectorGaussian)
BMean(VectorGaussian, PositiveDefiniteMatrix, DenseVector)
BMeanInit(VectorGaussian)
BVariance(VectorGaussian, PositiveDefiniteMatrix)
BVarianceInit(VectorGaussian)
InnerProductAverageConditional(DenseVector, PositiveDefiniteMatrix, Vector)
InnerProductAverageConditional(Vector, DenseVector, PositiveDefiniteMatrix)
InnerProductAverageConditionalInit()
InnerProductAverageLogarithm(DenseVector, PositiveDefiniteMatrix, Vector)
InnerProductAverageLogarithm(Vector, DenseVector, PositiveDefiniteMatrix)
InnerProductAverageLogarithm(DenseVector, PositiveDefiniteMatrix, DenseVector, PositiveDefiniteMatrix)
InnerProductAverageLogarithmInit()
LogAverageFactor(Gaussian, Gaussian)
LogAverageFactor(Double, DenseVector, PositiveDefiniteMatrix, Vector)
LogAverageFactor(Double, Vector, DenseVector, PositiveDefiniteMatrix)
LogEvidenceRatio(Gaussian, Vector, VectorGaussian)
LogEvidenceRatio(Gaussian, VectorGaussian, Vector)
LogEvidenceRatio(Double, DenseVector, PositiveDefiniteMatrix, Vector)
LogEvidenceRatio(Double, Vector, DenseVector, PositiveDefiniteMatrix)
netcoreapp2.0
namespace Microsoft.ML.Probabilistic.Factors
{
public class InnerProductOpBase
{
[NotSupported("Variational Message Passing does not support an InnerProduct factor with fixed output.")]
public static VectorGaussian BAverageLogarithm(double innerProduct, [SkipIfUniform] VectorGaussian A, VectorGaussian 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