Gaussian
MeanTimesPrecision
Precision
Gaussian(Gaussian)
Gaussian(Double, Double)
IsPointMass
Point
Clone()
Equals(Object)
FromDerivatives(Double, Double, Double, Boolean)
FromMeanAndPrecision(Double, Double)
FromMeanAndVariance(Double, Double)
FromNatural(Double, Double)
GetAverageLog(Gaussian)
GetDerivatives(Double, Double, Double)
GetDerivatives(Gaussian, Double, Double, Double)
GetHashCode()
GetLogAverageOf(Gaussian)
GetLogAverageOfPower(Gaussian, Double)
GetLogNormalizer()
GetLogProb(Double)
GetLogProb(Double, Double, Double)
GetMean()
GetMeanAndPrecision(Double, Double)
GetMeanAndVariance(Double, Double)
GetMode()
GetNatural(Double, Double)
GetProbBetween(Double, Double)
GetProbLessThan(Double)
GetQuantile(Double)
GetVariance()
IsProper()
IsUniform()
MaxDiff(Object)
PointMass(Double)
Sample()
Sample(Double)
Sample(Double, Double)
SetMeanAndPrecision(Double, Double)
SetMeanAndVariance(Double, Double)
SetNatural(Double, Double)
SetTo(Gaussian)
SetToPower(Gaussian, Double)
SetToProduct(Gaussian, Gaussian)
SetToRatio(Gaussian, Gaussian, Boolean)
SetToSum(Double, Gaussian, Double, Gaussian)
SetToUniform()
ToString()
ToString(String)
Truncate(Double, Double)
Uniform()
WeightedSum<T>(T, Double, T, Double, T)
operator !=(Gaussian, Gaussian)
operator *(Gaussian, Gaussian)
operator /(Gaussian, Gaussian)
operator ^(Gaussian, Double)
operator ==(Gaussian, Gaussian)
netcoreapp3.1
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Mature)]
public struct Gaussian : CanGetAverageLog<Gaussian>, CanGetLogAverageOf<Gaussian>, CanGetLogAverageOfPower<Gaussian>, CanGetLogNormalizer, CanGetLogProb<double>, CanGetMean<double>, CanGetMeanAndVarianceOut<double, double>, CanGetMode<double>, CanGetProbLessThan<double>, CanGetQuantile<double>, CanGetVariance<double>, CanSetMeanAndVariance<double, double>, HasPoint<double>, IDistribution, IDistribution<double>, ITruncatableDistribution<double>, Sampleable<double>, SettableToUniform, Diffable, SettableTo<Gaussian>, SettableToPower<Gaussian>, SettableToProduct<Gaussian>, SettableToProduct<Gaussian, Gaussian>, SettableToRatio<Gaussian>, SettableToRatio<Gaussian, Gaussian>, SettableToWeightedSum<Gaussian>, ICloneable
{
public override bool Equals(object thatd);
}
}
.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 netcoreapp3.1 | |
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