Poisson
Precision
Rate
Poisson(Double)
Poisson(Poisson)
Poisson(Double, Double)
IsPointMass
Point
Clone()
Equals(Object)
FromMeanAndMeanLogFactorial(Double, Double)
GetAverageLog(Poisson)
GetHashCode()
GetLogAverageOf(Poisson)
GetLogAverageOfPower(Poisson, Double)
GetLogNormalizer()
GetLogNormalizer(Double, Double)
GetLogPowerSum(Double, Double, Double)
GetLogProb(Int32)
GetMean()
GetMeanAndVariance(Double, Double)
GetMeanLogFactorial()
GetNormalizer(Double, Double)
GetSumLogFactorial(Double, Double)
GetSumLogFactorial2(Double, Double)
GetSumXLogFactorial(Double, Double)
GetVariance()
IsProper()
IsUniform()
MaxDiff(Object)
PointMass(Int32)
Sample()
Sample(Double)
Sample(Int32)
Sample(Double, Double)
SetMeanAndVariance(Double, Double)
SetTo(Poisson)
SetToPower(Poisson, Double)
SetToProduct(Poisson, Poisson)
SetToRatio(Poisson, Poisson, Boolean)
SetToSum(Double, Poisson, Double, Poisson)
SetToUniform()
ToString()
Uniform()
operator !=(Poisson, Poisson)
operator *(Poisson, Poisson)
operator /(Poisson, Poisson)
operator ^(Poisson, Double)
operator ==(Poisson, Poisson)
xamarinmac
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Stable)]
public struct Poisson : CanGetAverageLog<Poisson>, CanGetLogAverageOf<Poisson>, CanGetLogAverageOfPower<Poisson>, CanGetLogProb<int>, CanGetMean<double>, CanGetMeanAndVarianceOut<double, double>, CanGetVariance<double>, CanSetMeanAndVariance<double, double>, HasPoint<int>, IDistribution, IDistribution<int>, Sampleable<int>, SettableToUniform, Diffable, SettableTo<Poisson>, SettableToPower<Poisson>, SettableToProduct<Poisson>, SettableToProduct<Poisson, Poisson>, SettableToRatio<Poisson>, SettableToRatio<Poisson, Poisson>, SettableToWeightedSum<Poisson>, ICloneable
{
public double GetLogAverageOf(Poisson 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 xamarinmac | |
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