VectorGaussianMoments
VectorGaussianMoments()
VectorGaussianMoments(Int32)
VectorGaussianMoments(VectorGaussianMoments)
VectorGaussianMoments(Double, Double)
VectorGaussianMoments(Vector, PositiveDefiniteMatrix)
Dimension
IsPointMass
Mean
Point
Variance
Clone()
Copy(VectorGaussianMoments)
Equals(Object)
FromMeanAndPrecision(Double, Double)
FromMeanAndPrecision(Vector, PositiveDefiniteMatrix)
FromMeanAndVariance(Double, Double)
FromMeanAndVariance(Vector, PositiveDefiniteMatrix)
GetAverageLog(VectorGaussianMoments)
GetHashCode()
GetLogAverageOf(VectorGaussianMoments)
GetLogAverageOfPower(VectorGaussianMoments, Double)
GetLogNormalizer()
GetLogProb(Vector)
GetMarginal(Int32)
GetMarginal(Int32, VectorGaussianMoments)
GetMean()
GetMean(Vector)
GetMeanAndPrecision(Vector, PositiveDefiniteMatrix)
GetMeanAndVariance(Vector, PositiveDefiniteMatrix)
GetMode()
GetVariance()
GetVariance(PositiveDefiniteMatrix)
IsProper()
IsUniform()
MaxDiff(Object)
PointMass(Double)
PointMass(Vector)
Sample()
Sample(Vector)
SetMeanAndPrecision(Vector, PositiveDefiniteMatrix)
SetMeanAndVariance(Vector, PositiveDefiniteMatrix)
SetNatural(Vector, PositiveDefiniteMatrix)
SetTo(VectorGaussianMoments)
SetToPointMass()
SetToPower(VectorGaussianMoments, Double)
SetToProduct(VectorGaussianMoments, VectorGaussianMoments)
SetToProduct(VectorGaussianMoments, IList<Gaussian>)
SetToRatio(VectorGaussianMoments, VectorGaussianMoments, Boolean)
SetToSum(Double, VectorGaussianMoments, Double, VectorGaussianMoments)
SetToUniform()
ToString()
Uniform(Int32)
WeightedSum<T>(T, Int32, Double, T, Double, T)
operator *(VectorGaussianMoments, VectorGaussianMoments)
operator /(VectorGaussianMoments, VectorGaussianMoments)
operator ^(VectorGaussianMoments, Double)
monoandroid
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Mature)]
public class VectorGaussianMoments : CanGetAverageLog<VectorGaussianMoments>, CanGetLogAverageOf<VectorGaussianMoments>, CanGetLogAverageOfPower<VectorGaussianMoments>, CanGetLogNormalizer, CanGetLogProb<Vector>, CanGetMean<DenseVector>, CanGetMeanAndVariance<Vector, PositiveDefiniteMatrix>, CanGetMode<DenseVector>, CanGetVariance<PositiveDefiniteMatrix>, CanSetMeanAndVariance<Vector, PositiveDefiniteMatrix>, HasPoint<Vector>, IDistribution, IDistribution<Vector>, Sampleable<Vector>, SettableToUniform, Diffable, SettableTo<VectorGaussianMoments>, SettableToPower<VectorGaussianMoments>, SettableToProduct<VectorGaussianMoments>, SettableToProduct<VectorGaussianMoments, VectorGaussianMoments>, SettableToRatio<VectorGaussianMoments>, SettableToRatio<VectorGaussianMoments, VectorGaussianMoments>, SettableToWeightedSum<VectorGaussianMoments>, ICloneable
{
public void SetToSum(double weight1, VectorGaussianMoments dist1, double weight2, VectorGaussianMoments dist2);
}
}
.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