Uses of Package
com.bayesserver.inference

Packages that use com.bayesserver.inference

Package	Description
com.bayesserver.analysis
com.bayesserver.causal
com.bayesserver.data
com.bayesserver.data.sampling
com.bayesserver.inference
com.bayesserver.learning.parameters
com.bayesserver.learning.structure
com.bayesserver.optimization

Classes in com.bayesserver.inference used by com.bayesserver.analysis

Class	Description
Evidence	Represents the evidence, or case data (e.g.
InconsistentEvidenceException	Exception raised when either inconsistent evidence is detected, or underflow has occurred.
InferenceFactory	Uses the factory design pattern to create inference related objects for inference algorithms.

Classes in com.bayesserver.inference used by com.bayesserver.causal

Class	Description
CausalEffectKind	The type of causal effect to identify or estimate.
DecisionAlgorithm	The type of algorithm to use when a network has decision nodes.
Evidence	Represents the evidence, or case data (e.g.
InconsistentEvidenceException	Exception raised when either inconsistent evidence is detected, or underflow has occurred.
InconsistentEvidenceMode	Determines when an InconsistentEvidenceException is raied.
Inference	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.
InferenceFactory	Uses the factory design pattern to create inference related objects for inference algorithms.
QueryDistribution	Defines a distribution to be queried in a call to Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryDistributionCollection	The collection of distributions to be calculated by a Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryEvidenceMode	Determines how predictions on variables with evidence are performed.
QueryFunctionCollection	Collection of functions to be evaluated at query time, after any query distributions have been calculated.
QueryFunctionOutput	A class whose value holds the result of a function evaluation, populated during a query.
QueryLifecycle	Allows callers to hook into the query lifecycle of an inference engine.
QueryOptions	Options that govern the calculations performed by Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryOutput	Returns any information, in addition to the distributions, that is requested from a query.

Classes in com.bayesserver.inference used by com.bayesserver.data

Class	Description
Evidence	Represents the evidence, or case data (e.g.

Classes in com.bayesserver.inference used by com.bayesserver.data.sampling

Class	Description
Evidence	Represents the evidence, or case data (e.g.
InconsistentEvidenceException	Exception raised when either inconsistent evidence is detected, or underflow has occurred.

Classes in com.bayesserver.inference used by com.bayesserver.inference

Class	Description
AssignedDefinition	Identifies the node that is assigned to a clique in a Junction Tree.
CausalEffectKind	The type of causal effect to identify or estimate.
CliqueDefinition	The definition of a clique in a junction tree, without the instantiation of the distribution.
DecisionAlgorithm	The type of algorithm to use when a network has decision nodes.
DefaultEvidence	Represents the evidence, or case data (e.g.
EliminationDefinition	Identifies a node that is eliminated during exact inference.
EliminationDefinitionCollection	A list of elminated nodes during inference.
Evidence	Represents the evidence, or case data (e.g.
EvidenceType	The type of evidence for a variable.
EvidenceTypes	Provides information about the type of evidence on a variable as well as whether it is an intervention (do operator) or not.
InconsistentEvidenceException	Exception raised when either inconsistent evidence is detected, or underflow has occurred.
InconsistentEvidenceMode	Determines when an InconsistentEvidenceException is raied.
Inference	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.
InferenceFactory	Uses the factory design pattern to create inference related objects for inference algorithms.
InterventionType	Determines whether evidence is an intervention (do operator) or not.
JunctionTreeNodeDefinition	A junction tree node, which can be either a clique or a sepset.
JunctionTreesDefinition	A jumction tree or junction trees.
QueryComparison	Determines whether and how queried values (e.g.
QueryDistance	Type of distance to calculate for a query.
QueryDistribution	Defines a distribution to be queried in a call to Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryDistributionCollection	The collection of distributions to be calculated by a Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryEvidenceMode	Determines how predictions on variables with evidence are performed.
QueryFunction	Defines a function to be evaluated in a call to Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryFunctionCollection	Collection of functions to be evaluated at query time, after any query distributions have been calculated.
QueryFunctionOutput	A class whose value holds the result of a function evaluation, populated during a query.
QueryLifecycle	Allows callers to hook into the query lifecycle of an inference engine.
QueryLifecycleBegin	Contains information that is passed via the QueryLifecycle interface.
QueryLifecycleBeginBase	Query begin lifecycle base class implementation for causal algorithms.
QueryLifecycleEnd	Contains information that is passed via the QueryLifecycle interface.
QueryLifecycleEndBase	Query end lifecycle base class implementation for causal algorithms.
QueryOptions	Options that govern the calculations performed by Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryOutput	Returns any information, in addition to the distributions, that is requested from a query.
QuerySamplingOptions	Interface for approximate sampling inference algorithms, which can be implemented in addition to QueryOptions.
SepsetDefinition	The definition of a sepset in a junction tree, without the instantiation of the distribution.
TreeQueryOptions	Options which affect the calculation performed by a TreeQuery.
TreeQueryOutput	Contains information output by a TreeQuery.

Classes in com.bayesserver.inference used by com.bayesserver.learning.parameters

Class	Description
DecisionAlgorithm	The type of algorithm to use when a network has decision nodes.
Evidence	Represents the evidence, or case data (e.g.
InconsistentEvidenceException	Exception raised when either inconsistent evidence is detected, or underflow has occurred.
InferenceFactory	Uses the factory design pattern to create inference related objects for inference algorithms.

Classes in com.bayesserver.inference used by com.bayesserver.learning.structure

Class	Description
InferenceFactory	Uses the factory design pattern to create inference related objects for inference algorithms.

Classes in com.bayesserver.inference used by com.bayesserver.optimization

Class	Description
CausalEffectKind	The type of causal effect to identify or estimate.
Evidence	Represents the evidence, or case data (e.g.
InferenceFactory	Uses the factory design pattern to create inference related objects for inference algorithms.
InterventionType	Determines whether evidence is an intervention (do operator) or not.
QueryDistribution	Defines a distribution to be queried in a call to Inference.query(com.bayesserver.inference.QueryOptions, com.bayesserver.inference.QueryOutput).
QueryFunctionOutput	A class whose value holds the result of a function evaluation, populated during a query.