Gaussian
MeanTimesPrecision- Precision
Gaussian(Gaussian)- Gaussian(Double, Double)
IsPointMass- Point
- Clone()
- Equals(Object)
- FromDerivatives(Double, Double, Double, Boolean)
- FromMeanAndPrecision(Double, Double)
- FromMeanAndVariance(Double, Double)
- FromNatural(Double, Double)
- GetAverageLog(Gaussian)
- GetDerivatives(Double, Double, Double)
- GetDerivatives(Gaussian, Double, Double, Double)
- GetHashCode()
- GetLogAverageOf(Gaussian)
- GetLogAverageOfPower(Gaussian, Double)
- GetLogNormalizer()
- GetLogProb(Double)
- GetLogProb(Double, Double, Double)
- GetMean()
- GetMeanAndPrecision(Double, Double)
- GetMeanAndVariance(Double, Double)
- GetMode()
- GetNatural(Double, Double)
- GetProbBetween(Double, Double)
- GetProbLessThan(Double)
- GetQuantile(Double)
- GetVariance()
- IsProper()
- IsUniform()
- MaxDiff(Object)
- PointMass(Double)
- Sample()
- Sample(Double)
- Sample(Double, Double)
- SetMeanAndPrecision(Double, Double)
- SetMeanAndVariance(Double, Double)
- SetNatural(Double, Double)
- SetTo(Gaussian)
- SetToPower(Gaussian, Double)
- SetToProduct(Gaussian, Gaussian)
- SetToRatio(Gaussian, Gaussian, Boolean)
- SetToSum(Double, Gaussian, Double, Gaussian)
- SetToUniform()
- ToString()
- ToString(String)
- Truncate(Double, Double)
- Uniform()
- WeightedSum<T>(T, Double, T, Double, T)
operator !=(Gaussian, Gaussian)- operator *(Gaussian, Gaussian)
- operator /(Gaussian, Gaussian)
- operator ^(Gaussian, Double)
- operator ==(Gaussian, Gaussian)
netcoreapp2.1
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Mature)]
public struct Gaussian : CanGetAverageLog<Gaussian>, CanGetLogAverageOf<Gaussian>, CanGetLogAverageOfPower<Gaussian>, CanGetLogNormalizer, CanGetLogProb<double>, CanGetMean<double>, CanGetMeanAndVarianceOut<double, double>, CanGetMode<double>, CanGetProbLessThan<double>, CanGetQuantile<double>, CanGetVariance<double>, CanSetMeanAndVariance<double, double>, HasPoint<double>, IDistribution, IDistribution<double>, ITruncatableDistribution<double>, Sampleable<double>, SettableToUniform, Diffable, SettableTo<Gaussian>, SettableToPower<Gaussian>, SettableToProduct<Gaussian>, SettableToProduct<Gaussian, Gaussian>, SettableToRatio<Gaussian>, SettableToRatio<Gaussian, Gaussian>, SettableToWeightedSum<Gaussian>, ICloneable
{
public void SetToUniform();
}
}
| .NET | 5.06.07.08.09.0 |
|---|---|
| .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 netcoreapp2.1 | |
| 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