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)
netcoreapp3.0
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
{
[Fresh]
public static Vector ArrayMean([Proper] VectorGaussian array, PositiveDefiniteMatrix ArrayVariance, Vector 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 netcoreapp3.0 | |
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 framework does not have platform annotations. |
- Built-in API
- Package-provided API