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)
net462
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
}
nuget.org | 0.0 %
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.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 net462 | |
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