Wishart
Wishart()
Wishart(Int32)
Wishart(Double, Double)
Wishart(Double, PositiveDefiniteMatrix)
Wishart(Int32, Double, Double)
Dimension
IsPointMass
Point
Rate
Shape
Clone()
Equals(Object)
FromMeanAndMeanLogDeterminant(PositiveDefiniteMatrix, Double, Wishart)
FromShapeAndRate(Double, PositiveDefiniteMatrix)
FromShapeAndRate(Int32, Double, Double)
FromShapeAndScale(Double, PositiveDefiniteMatrix)
FromShapeAndScale(Int32, Double, Double)
GetAverageLog(Wishart)
GetHashCode()
GetLogAverageOf(Wishart)
GetLogAverageOfPower(Wishart, Double)
GetLogNormalizer()
GetLogNormalizer(Double, PositiveDefiniteMatrix)
GetLogProb(PositiveDefiniteMatrix)
GetLogProb(PositiveDefiniteMatrix, Double, PositiveDefiniteMatrix)
GetMean()
GetMean(PositiveDefiniteMatrix)
GetMeanAndVariance(PositiveDefiniteMatrix, PositiveDefiniteMatrix)
GetMeanLogDeterminant()
GetMode()
GetMode(PositiveDefiniteMatrix)
GetScale()
GetVariance()
GetVariance(PositiveDefiniteMatrix)
IsProper()
IsProper(Double, PositiveDefiniteMatrix)
IsUniform()
MaxDiff(Object)
PointMass(Double)
PointMass(PositiveDefiniteMatrix)
Sample()
Sample(PositiveDefiniteMatrix)
Sample(Double, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
Sample(PositiveDefiniteMatrix, LowerTriangularMatrix, LowerTriangularMatrix, Matrix)
SampleFromShapeAndRate(Double, PositiveDefiniteMatrix)
SampleFromShapeAndRate(Double, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
SampleFromShapeAndScale(Double, PositiveDefiniteMatrix)
SetDerivatives(LowerTriangularMatrix, PositiveDefiniteMatrix, PositiveDefiniteMatrix, Double, Boolean, Double)
SetMeanAndVariance(PositiveDefiniteMatrix, PositiveDefiniteMatrix)
SetShapeAndRate(Double, PositiveDefiniteMatrix)
SetShapeAndScale(Double, PositiveDefiniteMatrix)
SetTo(Wishart)
SetToPointMass()
SetToPower(Wishart, Double)
SetToProduct(Wishart, Wishart)
SetToRatio(Wishart, Wishart, Boolean)
SetToSum(Double, Wishart, Double, Wishart)
SetToUniform()
ToString()
Uniform(Int32)
WeightedSum<T>(T, Int32, Double, T, Double, T)
operator *(Wishart, Wishart)
operator /(Wishart, Wishart)
operator ^(Wishart, Double)
net10.0-windows7.0
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Mature)]
public class Wishart : CanGetAverageLog<Wishart>, CanGetLogAverageOf<Wishart>, CanGetLogAverageOfPower<Wishart>, CanGetLogNormalizer, CanGetLogProb<PositiveDefiniteMatrix>, CanGetMean<PositiveDefiniteMatrix>, CanGetMeanAndVariance<PositiveDefiniteMatrix, PositiveDefiniteMatrix>, CanGetMode<PositiveDefiniteMatrix>, CanGetVariance<PositiveDefiniteMatrix>, CanSetMeanAndVariance<PositiveDefiniteMatrix, PositiveDefiniteMatrix>, HasPoint<PositiveDefiniteMatrix>, IDistribution, IDistribution<PositiveDefiniteMatrix>, Sampleable<PositiveDefiniteMatrix>, SettableToUniform, Diffable, SettableTo<Wishart>, SettableToPower<Wishart>, SettableToProduct<Wishart>, SettableToProduct<Wishart, Wishart>, SettableToRatio<Wishart>, SettableToRatio<Wishart, Wishart>, SettableToWeightedSum<Wishart>, ICloneable
{
[IgnoreDataMember]
[XmlIgnore]
public int Dimension { get; }
}
}
nuget.org | 0.0 %
Reference this API |
---|---|
.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 net10.0 | |
Platforms | This API is only available when you target a specific platform: |
Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
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 | The property getter is supported on all platforms. |
- Built-in API
- Package-provided API