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)
net7.0
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
{
public void SetToUniform();
}
}
.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 net7.0 | |
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