TruncatedPoisson
PositiveInfinityEndPoint
TruncatedPoisson()
TruncatedPoisson(LeftTruncatedPoisson)
TruncatedPoisson(Double, Int32)
TruncatedPoisson(LeftTruncatedPoisson, Int32)
TruncatedPoisson(Poisson, Int32)
TruncatedPoisson(Double, Double, Int32)
TruncatedPoisson(Poisson, Int32, Int32)
TruncatedPoisson(Double, Double, Int32, Int32)
EndPoint
EndPointIsPositiveInfinity
IsPointMass
LogNormalizer
Point
Precision
Rate
StartPoint
Clone()
FromMeanAndStartPoint(Double, Double, Int32, Double, Int32)
FromMeanAndStartPointAndEndPoint(Double, Double, Int32, Int32, Double, Int32)
GetAverageLog(TruncatedPoisson)
GetEndPoint()
GetLogAverageOf(TruncatedPoisson)
GetLogNormalizer()
GetLogNormalizer(Double, Double, Int32, Int32)
GetLogProb(Int32)
GetMean()
GetStartPoint()
IsPartialUniform()
IsProper()
IsUniform()
MaxDiff(Object)
PartialUniform(Int32)
PartialUniform(Int32, Int32)
PointMass(Int32)
Sample()
Sample(Int32)
SetTo(Discrete)
SetTo(LeftTruncatedPoisson)
SetTo(TruncatedPoisson)
SetToPartialUniform()
SetToPartialUniform(Int32, Int32)
SetToPartialUniformOf(Discrete)
SetToPartialUniformOf(TruncatedPoisson)
SetToProduct(TruncatedPoisson, TruncatedPoisson)
SetToUniform()
ToString()
TruncateLeft(Int32)
TruncateRight(Int32)
Uniform()
net461
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Experimental)]
public class TruncatedPoisson : CanGetAverageLog<TruncatedPoisson>, CanGetLogAverageOf<TruncatedPoisson>, CanGetLogNormalizer, CanGetLogProb<int>, CanGetMean<double>, HasPoint<int>, ICanTruncateLeft<int>, ICanTruncateRight<int>, IDistribution, IDistribution<int>, Sampleable<int>, SettableToPartialUniform<Discrete>, SettableToPartialUniform<TruncatedPoisson>, SettableToUniform, Diffable, SettableTo<Discrete>, SettableTo<LeftTruncatedPoisson>, SettableTo<TruncatedPoisson>, SettableToProduct<TruncatedPoisson>, SettableToProduct<TruncatedPoisson, TruncatedPoisson>, ICloneable
{
public void SetToUniform();
}
}
| .NET | 5.06.07.08.09.010.011.0 |
|---|---|
| .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 net461 | |
| Assembly | Microsoft.ML.Probabilistic , Version=0.4.2504.701, PublicKeyToken=e4813102a62778da |
| Referencing | Your project needs a package reference to |
| Package | Microsoft.ML.Probabilistic (0.4.2504.701) netstandard2.0 |
| Platform Restrictions | This framework does not have platform annotations. |
- Built-in API
- Package-provided API