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)
net47
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 SetToSum(double weight1, Gaussian g1, double weight2, Gaussian g2);
}
}
.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 net47 | |
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