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)
net6.0-windows
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 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