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)
netcoreapp2.0
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 void SetTo(Gaussian that);
}
}
.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 netcoreapp2.0 | |
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