Interface | Description |
---|---|
Cancellation |
Interface for cancelling long running operations.
|
Distributer<T> | |
Distribution |
Interface specifying the required methods and properties for a probability distribution.
|
DistributionExpression |
Base interface for expressions that generate distributions.
|
Expression |
Base interface for expressions.
|
MultipleIterator.Combination | |
NameValuesReader |
Interface for reading name/value pairs.
|
NameValuesWriter |
Interface for writing name/value pairs.
|
NetworkMonitor |
For internal use.
|
QueryExpression |
Base interface for expressions that are evaluated at query time.
|
Stop |
Interface to allow early completion of a long running task.
|
Table.NonZeroValues |
Used to report non zero table values.
|
WriteStreamAction |
Provides an output stream that can be written to.
|
Class | Description |
---|---|
ArcReversal |
Contains methods to reverse the direction of a
Link , known as arc reversal. |
Bounds |
Stores the position and size of an element.
|
CLGaussian |
Represents a Conditional Linear Gaussian probability distribution.
|
CustomProperty |
Stores a custom property.
|
CustomPropertyCollection |
Stores custom properties for a variety of objects.
|
Dag |
Includes methods for testing whether a network is a Directed Acyclic Graph (DAG).
|
DecomposeOptions |
Options used by the
Decomposer class. |
DecomposeOutput |
Contains information returned by
Decomposer.decompose(com.bayesserver.Network, com.bayesserver.DecomposeOptions) . |
Decomposer |
Contains methods to decompose nodes with multiple variables into their single variable equivalents.
|
DefaultCancellation |
Class for canceling long running operations.
|
FunctionVariableExpression |
An expression that can be used in a function node/variable.
|
Interval<T extends Comparable> |
An interval, defined by a minimum and maximum with respective open or closed endpoints.
|
License |
Provides license validation.
|
Link |
Represents a directed link in a Bayesian network.
|
MultipleIterator |
Provides methods to iterate over multiple distributions.
|
Network |
Represents a Bayesian Network, or a Dynamic Bayesian Network.
|
NetworkLinkCollection |
Represents the collection of directed links maintained by the
Network class. |
NetworkNodeCollection |
Represents the collection of
Network.getNodes() maintained by the Network class. |
NetworkNodeGroupCollection |
A collection of groups.
|
NetworkVariableCollection |
Represents a read-only collection of variables that belong to a network.
|
Node |
Represents a node with one or more variables in a Bayesian network.
|
NodeDistributionExpressions |
Represents any distribution expressions assigned to a
Node . |
NodeDistributionExpressions.DistributionExpressionOrder |
Identifies a distribution expression and its temporal order.
|
NodeDistributionKey |
Identifies a distribution assigned or to be assigned to a node.
|
NodeDistributionOptions |
Options that apply to all distributions of a particular node.
|
NodeDistributions |
Represents the distributions assigned to a
Node . |
NodeDistributions.DistributionOrder |
Identifies a distribution and its temporal order.
|
NodeGroup |
Allows nodes to be assigned to one or more groups.
|
NodeGroupCollection |
Represents the collection of groups a node belongs to.
|
NodeLinkCollection |
Represents a read-only collection of links.
|
NodeVariableCollection |
Represents the collection of variables belonging to a
|
ParameterCounter |
Contains methods to determine the number of parameters in a Bayesian network or distribution.
|
ParameterCountOptions |
Options for
ParameterCounter . |
State |
Represents a state of a variable.
|
StateCollection |
Represents a collection of states belonging to a
Variable . |
StateContext |
Identifies a
State and contextual information such as the time (zero based). |
Table |
Used to represent probability distributions, conditional probability distributions, joint probability distributions and more general potentials, over a number of discrete variables.
|
Table.MarginalizeLowMemoryOptions |
Options controlling
Table.marginalizeLowMemory(com.bayesserver.Table[]) . |
Table.MaxValue | |
TableAccessor |
Allows random access to the values in a
Table , using a preferred variable ordering, as opposed to the default sorted order specified in Table.getSortedVariables() . |
TableExpression |
Represents an expression that is used to generate Table distributions.
|
TableIterator |
Allows sequential access to the values in a
Table , using a preferred variable ordering, as opposed to the default sorted order specified in Table.getSortedVariables() . |
TopologicalSort |
Contains methods to sort nodes in a Bayesian network in topological order.
|
TopologicalSortNodeInfo |
Information about the topological order of a node.
|
Unroller |
Unrolls a Dynamic Bayesian network into the equivalent Bayesian network.
|
UnrollOptions |
Options governing the unrolling of a Dynamic Bayesian network.
|
UnrollOutput |
Contains information returned by
Unroller.unroll(com.bayesserver.Network, int, com.bayesserver.UnrollOptions) . |
UnrollOutput.NodeTime |
Identifies a node and related time.
|
UnrollOutput.VariableTime |
Identifies a variable and related time.
|
ValidationOptions |
Represents options that govern the validation of a network.
|
Variable |
Represents a discrete or continuous random variable.
|
VariableContext |
Represents a variable and associated information such as time, and whether it is marked as head or tail.
|
VariableContextCollection |
Represents a read-only collection of variables.
|
VariableMap |
Maps between a custom variable order and the default sorted variable order.
|
Enum | Description |
---|---|
CollectionAction |
Specifies how the collection is changed.
|
ExpressionReturnType |
The type of value returned from an expression.
|
HeadTail |
Indicates whether a variable is marked as head or tail in a distribution.
|
IntervalEndPoint |
The type of end point for an interval.
|
NodeDistributionKind |
The kind of distribution, such as a standard Probability or Experience table.
|
NoisyOrder |
Determines the order in which the states of a parent of a noisy node increasingly affect the noisy states.
|
NoisyType |
Identifies the noisy node type, if any.
|
PropagationMethod |
The propagation method used during inference.
|
StateValueType |
The type of value represented by a
State . |
TableExpressionNormalization |
The type of normalization to apply to a table (if any) once an expression has generated the values.
|
TemporalType |
The node type for networks that include temporal/sequential support.
|
VariableKind |
The kind of variable, such as Probability, Decision or Utility.
|
VariableValueType |
The type of data represented by a
Variable . |
Exception | Description |
---|---|
ExpressionException |
Exception raised during lexing, parsing or evaluation of an expression.
|
InvalidNetworkException |
Raised when a network has not been correctly specified.
|
NotInDomainException |
Raised when the arguments to a mathematic function are not in the domain of the function (undefined).
|
NotSpdException |
Raised when a matrix is not positive definite.
|
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