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)
netcoreapp3.1
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
{
public static double GetLogNormalizer(double rate, double prec, int startPoint);
}
}
.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 netcoreapp3.1 | |
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