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
{
public static double LogAverageFactor(double innerProduct, DenseVector AMean, PositiveDefiniteMatrix AVariance, Vector B);
}
}
.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