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)
net472
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 static bool operator !=(Gaussian a, Gaussian b);
}
}
Upgrade Planner | 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 net472 | |
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