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)
xamarinios
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
{
public static Gaussian ItemAverageConditional([SkipIfUniform] VectorGaussian array, Vector ArrayMean, PositiveDefiniteMatrix ArrayVariance, int index);
}
}
.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 xamarinios | |
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