- VectorGaussianOp - AverageLogFactor(Vector, Vector, PositiveDefiniteMatrix) 
- AverageLogFactor(Vector, Vector, Wishart, PositiveDefiniteMatrix, Double) 
- AverageLogFactor(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix) 
- AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix) 
- AverageLogFactor(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart, PositiveDefiniteMatrix, Double) 
- AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, Wishart, PositiveDefiniteMatrix, Double) 
- AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix) 
- AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart, PositiveDefiniteMatrix, Double) 
- LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix) 
- LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix) 
- LogAverageFactor(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix) 
- LogEvidenceRatio(Vector, Vector, PositiveDefiniteMatrix) 
- LogEvidenceRatio(VectorGaussian, Vector, PositiveDefiniteMatrix) 
- LogEvidenceRatio(VectorGaussian, VectorGaussian, PositiveDefiniteMatrix) 
- LogEvidenceRatio(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix) 
- MeanAverageConditional(Vector, PositiveDefiniteMatrix, VectorGaussian) 
- MeanAverageConditional(VectorGaussian, PositiveDefiniteMatrix, VectorGaussian) 
- MeanAverageLogarithm(Vector, PositiveDefiniteMatrix, VectorGaussian) 
- MeanAverageLogarithm(Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian) 
- MeanAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian) 
- MeanAverageLogarithm(VectorGaussian, Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian) 
- MeanConditional(Vector, PositiveDefiniteMatrix, VectorGaussian) 
- MeanMean(VectorGaussian, PositiveDefiniteMatrix, Vector) 
- MeanMeanInit(VectorGaussian) 
- MeanVariance(VectorGaussian, PositiveDefiniteMatrix) 
- MeanVarianceInit(VectorGaussian) 
- PrecisionAverageConditional(Vector, Vector, Wishart) 
- PrecisionAverageLogarithm(Vector, Vector, Wishart) 
- PrecisionAverageLogarithm(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart) 
- PrecisionAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, Wishart) 
- PrecisionAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart) 
- PrecisionConditional(Vector, Vector, Wishart) 
- PrecisionConditional(Vector, Vector, Wishart, Vector) 
- PrecisionMean(Wishart, PositiveDefiniteMatrix) 
- PrecisionMeanInit(Wishart) 
- PrecisionMeanLogDet(Wishart) 
- SampleAverageConditional(Vector, PositiveDefiniteMatrix, VectorGaussian) 
- SampleAverageConditional(VectorGaussian, PositiveDefiniteMatrix, VectorGaussian) 
- SampleAverageConditionalInit(Vector) 
- SampleAverageConditionalInit(VectorGaussian) 
- SampleAverageLogarithm(Vector, PositiveDefiniteMatrix, VectorGaussian) 
- SampleAverageLogarithm(Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian) 
- SampleAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian) 
- SampleAverageLogarithm(VectorGaussian, Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian) 
- SampleAverageLogarithmInit(Vector) 
- SampleAverageLogarithmInit(VectorGaussian) 
- SampleConditional(Vector, PositiveDefiniteMatrix, VectorGaussian) 
- SampleMean(VectorGaussian, PositiveDefiniteMatrix, Vector) 
- SampleMeanInit(VectorGaussian) 
- SampleVariance(VectorGaussian, PositiveDefiniteMatrix) 
- SampleVarianceInit(VectorGaussian) 
 
net8.0
    namespace Microsoft.ML.Probabilistic.Factors
{
    [Buffers(new[] { "SampleMean", "SampleVariance", "MeanMean", "MeanVariance", "PrecisionMean", "PrecisionMeanLogDet" })]
    [FactorMethod(typeof(VectorGaussian), "Sample", new[] { typeof(Vector), typeof(PositiveDefiniteMatrix) })]
    [FactorMethod(new[] { "sample", "mean", "precision" }, typeof(Factor), "VectorGaussian", new[] {  })]
    [Quality(QualityBand.Stable)]
    public static class VectorGaussianOp
    {
        [Skip]
        public static PositiveDefiniteMatrix MeanVarianceInit([IgnoreDependency] VectorGaussian Mean);
    }
}
            | .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 net8.0 | |
| 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