Microsoft.ML.Probabilistic.Distributions
AccumulateIntoCollection<T>
Accumulator<T>- AccumulatorList<T>
- Array2DEstimator<ItemEstimator, DistributionArray, Distribution>
- Array2DEstimator<ItemEstimator, DistributionArray, Distribution, Sample>
- ArrayEstimator
- ArrayEstimator<T>
- ArrayEstimator<ItemEstimator, DistributionArray, Distribution>
- ArrayEstimator<ItemEstimator, DistributionArray, Distribution, Sample>
Bernoulli- BernoulliEstimator
- BernoulliIntegerSubset
- Beta
- BetaEstimator
- Binomial
- BurnInAccumulator<T>
- CanComputePower<TDist>
- CanComputeProduct<T>
- CanComputeProduct<TOther, TResult>
- CanComputeRatio<T>
- CanComputeRatio<TDenominator, TResult>
- CanCopyWithAllElementsSetTo<T, TDist>
- CanCopyWithMean<MeanType, TDist>
- CanCopyWithMeanAndVariance<MeanType, VarType, TDist>
- CanCreatePartialUniform<TDist>
- CanCreatePointMass<T, TDist>
- CanCreateUniform<TDist>
- CanEnumerateSupport<T>
- CanGetAverageLog<T>
- CanGetLogAverageOf<T>
- CanGetLogAverageOfPower<T>
- CanGetLogNormalizer
- CanGetLogProb<T>
- CanGetLogProbPrep<DistributionType, T>
- CanGetMean<MeanType>
- CanGetMeanAndVariance<MeanType, VarType>
- CanGetMeanAndVarianceOut<MeanType, VarType>
- CanGetMode<ModeType>
- CanGetProbLessThan<T>
- CanGetQuantile<T>
- CanGetVariance<VarType>
- CanSamplePrep<DistributionType, T>
- CanSetMean<MeanType>
- CanSetMeanAndVariance<MeanType, VarType>
- CollectionElementMappingInfo
- ConditionalList<TDist>
- ConjugateDirichlet
- ConstantFunction
CreateEstimatorMethod- Dirichlet
- DirichletEstimator
- Discrete
- DiscreteChar
- DiscreteEnum<TEnum>
- DiscreteEstimator
- Distribution
- Distribution<T>
- DistributionArray<T>
- DistributionArray<T, DomainType>
- DistributionArray2D<T>
- DistributionArray2D<T, DomainType>
- DistributionFileArray<T, DomainType>
- DistributionRefArray<T, DomainType>
- DistributionRefArray2D<T, DomainType>
- DistributionStructArray<T, DomainType>
- DistributionStructArray2D<T, DomainType>
- EstimatedDistribution
- Estimator<T>
- EstimatorFactory
- Evaluator<DistributionType, T>
- Gamma
- GammaEstimator
- GammaPower
- GammaPowerEstimator
- Gaussian
- GaussianEstimator
- GaussianProcess
- GenericDiscreteBase<T, TThis>
- GibbsMarginal<TDist, T>
- HasPoint<T>
- ICanTruncateLeft<TDomain>
- ICanTruncateRight<TDomain>
- ICollectionDistribution
- ICollectionDistribution<TElement, TElementDist>
- IDistribution
- IDistribution<T>
- IEstimatedDistribution
- IFunction
- IGaussianProcess
- IImmutableDistribution
- IImmutableDistribution<T, TThis>
- ImmutableDiscreteChar
- ImproperDistributionException
- InnerQuantiles
- IrregularQuantiles
- IsDistributionWrapper
- ITruncatableDistribution<T>
- LeftTruncatedPoisson
- LinearSpline
- ListDistribution<TElement, TElementDistribution>
- ListDistribution<TList, TElement, TElementDistribution>
- ListDistribution<TList, TElement, TElementDistribution, TThis>
- Mixture<TDist, TDomain, TThis>
- MixtureEstimator<TDist>
- NonconjugateGaussian
- OuterQuantiles
- Pareto
- PointMass<T>
- PointMassEstimator<T>
- Poisson
- PoissonEstimator
- QuantileEstimator
- Rank1Pot
- Sampleable<T>
- SampleList<T>
- Sampler<T>
- Sampler<DistributionType, T>
- SequenceDistribution<TSequence, TElement, TElementDistribution, TSequenceManipulator, TAutomaton, TWeightFunction, TWeightFunctionFactory, TThis>
- SequenceDistributionFormats
- SettableToPartialUniform<TDist>
- SettableToUniform
- SparseBernoulliList
- SparseBetaList
- SparseDistributionList<TDist, TDomain, TThis>
- SparseGammaList
- SparseGaussianList
- SparseGP
- SparseGPFixed
- StringDistribution
- Summable<T>
- Summable<TOther, TResult>
- SummableExactly<T>
- SummableExactly<TOther, TResult>
- TruncatableDistribution<T>
- TruncatedDistribution
- TruncatedGamma
- TruncatedGaussian
- TruncatedGaussianEstimator
- TruncatedPoisson
- UnnormalizedDiscrete
- VectorGaussian
- VectorGaussianEstimator
- VectorGaussianMoments
- Wishart
- WishartEstimator
- WordStrings
- WrappedGaussian
netcoreapp3.0
namespace Microsoft.ML.Probabilistic.Distributions
| nuget.org | 0.0 %
Reference this API 0.0 %
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Reference this API |
| .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 |
- Built-in API
- Package-provided API