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)
net10.0-windows7.0
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 net10.0 | |
Platforms | This API is only available when you target a specific platform: |
Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
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