VectorElementOp
ArrayAverageConditional(Double, Int32, VectorGaussian)
ArrayAverageConditional(Gaussian, Int32, VectorGaussian)
ArrayAverageLogarithm(Double, Int32, VectorGaussian)
ArrayAverageLogarithm(Gaussian, Int32, VectorGaussian)
ArrayMean(VectorGaussian, PositiveDefiniteMatrix, Vector)
ArrayMeanInit(VectorGaussian)
ArrayVariance(VectorGaussian, PositiveDefiniteMatrix)
ArrayVarianceInit(VectorGaussian)
AverageLogFactor(Gaussian, VectorGaussian)
AverageLogFactor(Double, VectorGaussian, Vector, PositiveDefiniteMatrix, Int32)
ItemAverageConditional(VectorGaussian, Vector, PositiveDefiniteMatrix, Int32)
ItemAverageConditionalInit()
ItemAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, Int32)
ItemAverageLogarithmInit()
LogAverageFactor(Double, VectorGaussian, Vector, PositiveDefiniteMatrix, Int32)
LogEvidenceRatio(Double, VectorGaussian, Vector, PositiveDefiniteMatrix, Int32)
netcoreapp2.2
namespace Microsoft.ML.Probabilistic.Factors
{
[Buffers(new[] { "ArrayMean", "ArrayVariance" })]
[FactorMethod(typeof(Collection), "GetItem<>", new[] { typeof(double), typeof(Vector), typeof(int) })]
[Quality(QualityBand.Preview)]
public static class VectorElementOp
{
[Skip]
public static PositiveDefiniteMatrix ArrayVarianceInit([IgnoreDependency] VectorGaussian array);
}
}
.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 netcoreapp2.2 | |
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