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)
monoandroid
namespace Microsoft.ML.Probabilistic.Factors
{
public class InnerProductOpBase
{
[Skip]
public static double LogEvidenceRatio(Gaussian innerProduct, Vector A, VectorGaussian 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 monoandroid | |
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