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)
net10.0-windows7.0
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(int result);
}
}
.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 net10.0 | |
Platforms | This API is only available when you target a specific platform: |
Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
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