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)
netcoreapp2.1
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 bool IsProper();
}
}
.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 netcoreapp2.1 | |
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