LeftTruncatedPoisson
Tolerance
LeftTruncatedPoisson()
LeftTruncatedPoisson(Double, Int32)
LeftTruncatedPoisson(Poisson, Int32)
LeftTruncatedPoisson(Double, Double, Int32)
IsPointMass
LogNormalizer
MeanLogFactorial
Point
Precision
Rate
StartPoint
SumLogFactorial
Clone()
FromMeanAndStartPoint(Double, Double, Int32, Double, Int32)
GetAverageLog(LeftTruncatedPoisson)
GetLogAverageOf(LeftTruncatedPoisson)
GetLogNormalizer()
GetLogNormalizer(Double, Double, Int32)
GetLogProb(Int32)
GetLogProb(Int32, Double, Double, Double)
GetMean()
GetStartPoint()
GetSumLogFactorial(Double, Double, Int32)
IsPartialUniform()
IsProper()
IsUniform()
MaxDiff(Object)
PointMass(Int32)
Sample()
Sample(Int32)
SetTo(Discrete)
SetTo(LeftTruncatedPoisson)
SetToPartialUniform()
SetToPartialUniform(Int32)
SetToPartialUniformOf(Discrete)
SetToPartialUniformOf(LeftTruncatedPoisson)
SetToPower(LeftTruncatedPoisson, Double)
SetToProduct(LeftTruncatedPoisson, LeftTruncatedPoisson)
SetToRatio(LeftTruncatedPoisson, LeftTruncatedPoisson, Boolean)
SetToSum(Double, LeftTruncatedPoisson, Double, LeftTruncatedPoisson)
SetToUniform()
ToString()
TruncatedUniform(Int32)
TruncateLeft(Int32)
Uniform()
operator *(LeftTruncatedPoisson, LeftTruncatedPoisson)
operator /(LeftTruncatedPoisson, LeftTruncatedPoisson)
operator ^(LeftTruncatedPoisson, Double)
xamarinmac
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Experimental)]
public class LeftTruncatedPoisson : CanGetAverageLog<LeftTruncatedPoisson>, CanGetLogAverageOf<LeftTruncatedPoisson>, CanGetLogNormalizer, CanGetLogProb<int>, CanGetMean<double>, HasPoint<int>, ICanTruncateLeft<int>, IDistribution, IDistribution<int>, Sampleable<int>, SettableToPartialUniform<Discrete>, SettableToPartialUniform<LeftTruncatedPoisson>, SettableToUniform, Diffable, SettableTo<Discrete>, SettableTo<LeftTruncatedPoisson>, SettableToPower<LeftTruncatedPoisson>, SettableToProduct<LeftTruncatedPoisson>, SettableToProduct<LeftTruncatedPoisson, LeftTruncatedPoisson>, SettableToRatio<LeftTruncatedPoisson>, SettableToRatio<LeftTruncatedPoisson, LeftTruncatedPoisson>, SettableToWeightedSum<LeftTruncatedPoisson>, ICloneable
{
[Stochastic]
public int Sample();
}
}
.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