Uses of Package
com.bayesserver.inference

Packages that use com.bayesserver.inference

Package	Description
com.bayesserver.analysis
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 and 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.data

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

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

Class and 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 and Description
DecisionAlgorithm The type of algorithm to use when a network has decision nodes.
DefaultEvidence Represents the evidence, or case data (e.g.
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.
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.
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.
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 and 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 and 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 and Description
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.