Contains interfaces for performing probabilistic inference with a Bayesian network, such as calculating posterior probabilities and log-likelihoods. See the VariableEliminationInference class for an algorithm that implements the necessary interfaces.

Classes

	Class	Description
	Evidence	Represents the evidence, or case data (e.g. row in a database) used in a query.
	InferenceFactoryAttribute	An attribute that can be applied to classes implementing IInferenceFactory. It provides additional information about the inference algorithm.
	QueryDistribution	Defines a distribution to be queried in a call to Query(IQueryOptions, IQueryOutput).
	QueryDistributionCollection	The collection of distributions to be calculated by a Query(IQueryOptions, IQueryOutput). See IQueryDistributionCollection.

Interfaces

	Interface	Description
	IEvidence	Represents the evidence, or case data (e.g. row in a database) used in a query.
	IInference	The interface for a Bayesian network inference algorithm, which is used to perform queries such as calculating posterior probabilities and log-likelihood values for a case.
	IInferenceFactory	Uses the factory design pattern to create inference related objects for inference algorithms.
	IQueryDistributionCollection	The collection of distributions to be calculated by a Query(IQueryOptions, IQueryOutput). Only request those that you need.
	IQueryOptions	Options that govern the calculations performed by Query(IQueryOptions, IQueryOutput).
	IQueryOutput	Returns any information, in addition to the distributions, that is requested from a query. For example the log-likelihood.

Enumerations

	Enumeration	Description
	EvidenceType	The type of evidence for a variable. When a variable is set to a specific value, this is called Hard evidence.