MMath
Digamma1- EulerGamma
- InvSqrt2PI
- Ln2
- LnPI
- LnSqrt2PI
- Sqrt2
- Sqrt2PI
- Sqrt3
- SqrtHalf
- Zeta2
CbrtUlp1- SqrtUlp1
- Ulp1
AbsDiff(Double, Double)- AbsDiff(Double, Double, Double)
- AbsDiffAllowingNaNs(Double, Double)
- AbsDiffAllowingNaNs(Double, Double, Double)
- AreEqual(Double, Double)
- Average(Double, Double)
- Average(Int64, Int64)
- BesselI(Double, Double)
- Beta(Double, Double, Double, Double)
- ChooseLn(Double, Double)
- ChooseLn(Double, Double[])
- DifferenceOfExp(Double, Double)
- DiffLogSumExp(Double, Double, Double)
- Digamma(Double)
- Digamma(Double, Double)
- Erfc(Double)
- ErfcInv(Double)
- ExpMinus1(Double)
- ExpMinus1RatioMinus1RatioMinusHalf(Double)
- Gamma(Double)
- GammaLn(Double)
- GammaLn(Double, Double)
- GammaLower(Double, Double)
- GammaProbBetween(Double, Double, Double, Double, Boolean)
- GammaUpper(Double, Double, Boolean)
- GammaUpperLogScale(Double, Double)
- GammaUpperScale(Double, Double)
- IndexOfMaximum<T>(IEnumerable<T>)
- IndexOfMaximumDouble(IList<Double>)
- IndexOfMinimum<T>(IEnumerable<T>)
- Log1MinusExp(Double)
- Log1Plus(Double)
- Log1PlusExp(Double)
- Log1PlusExpGaussian(Double, Double)
- LogDifferenceOfExp(Double, Double)
- LogExpMinus1(Double)
- LogGammaUpper(Double, Double, Double)
- Logistic(Double)
- LogisticGaussian(Double, Double)
- LogisticGaussianDerivative(Double, Double)
- LogisticGaussianDerivative2(Double, Double)
- LogisticGaussianRatio(Double, Double, Int32)
- LogisticLn(Double)
- Logit(Double)
- LogitFromLog(Double)
- LogRatio(Double, Double)
- LogSumExp(Double, Double)
- LogSumExp(IEnumerable<Double>)
- LogSumExpSparse(IEnumerable<Double>)
- Max(IEnumerable<Double>)
- Median(Double[])
- Median(Double[], Int32, Int32)
- Min(IEnumerable<Double>)
- NextDouble(Double)
- NextDoubleWithPositiveDifference(Double)
- NormalCdf(Double)
- NormalCdf(Double, Double, Double)
- NormalCdf(Double, Double, Double, Double)
- NormalCdfDiff(Double, Double)
- NormalCdfExtended(Double)
- NormalCdfExtended(Double, Double, Double)
- NormalCdfIntegral(Double, Double, Double)
- NormalCdfIntegral(Double, Double, Double, Double)
- NormalCdfIntegralRatio(Double, Double, Double)
- NormalCdfIntegralRatio(Double, Double, Double, Double)
- NormalCdfInv(Double)
- NormalCdfLn(Double)
- NormalCdfLn(Double, Double, Double)
- NormalCdfLogit(Double)
- NormalCdfMomentRatio(Int32, Double)
- NormalCdfMomentRatioDiff(Int32, Double, Double, Int32)
- NormalCdfRatio(Double)
- NormalCdfRatioDiff(Double, Double, Int32)
- NormalCdfRatioLn(Double)
- NormalCdfRatioLn(Double, Double, Double, Double)
- OneMinusSqrtOneMinus(Double)
- PreviousDouble(Double)
- PreviousDoubleWithPositiveDifference(Double)
- ReciprocalFactorialMinus1(Double)
- RemoveNaNs(Double[], Int32, Int32)
- RisingFactorialLn(Double, Double)
- RisingFactorialLnOverN(Double, Double)
- Softmax(IList<Double>)
- Tetragamma(Double)
- ToStringExact(Double)
- Trigamma(Double)
- Trigamma(Double, Double)
- Ulp(Double)
- WeightedAverage(Double, Double, Double, Double)
netcoreapp3.0
namespace Microsoft.ML.Probabilistic.Math
{
public static class MMath
{
public const double Ln2 = 0.6931471805599453;
}
}
| .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 netcoreapp3.0 | |
| 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 framework does not have platform annotations. |
- Built-in API
- Package-provided API