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)
net5.0
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
{
[DataMember]
public double Precision;
}
}
.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 net5.0 | |
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 API is supported on all platforms. |
- Built-in API
- Package-provided API