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()
net462
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 static TruncatedPoisson FromMeanAndStartPoint(double targetMean, double precision, int startPoint, double tolerance = 1E-10, int maxIterations = 100);
}
}
| .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 net462 | |
| 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