A B C D E F G H I K L M N O P R S T U V

A

AbstractLearningSettings - Class in com.bayesia.api.learning.settings

addArc(String, String) - Method in class com.bayesia.api.APIModeling

Tries to add an arc from nodeName1 to nodeName2.

addBooleanConstant(String, boolean) - Method in class com.bayesia.api.APIModeling

Adds a constant with the given name, with a BOOLEAN type and a boolean value.

addChanceIntervalNode(String, String[], double[][]) - Method in class com.bayesia.api.APIModeling

Deprecated.

As of release 3.1, replaced by APIModeling.addIntervalNode(String, String[], double[][]) Creates a new continuous (interval) chance node with the specified states and the specified limits for each interval and add it to the network. The number of intervals is equal to the number of states. The intervals are given in an array containing, for each one, an array storing the minimum and the maximum of this interval. The intervals are contiguous, i.e. the maximum of an interval is equal to the minimum of the following interval. Its conditional probability table is automatically generated and initialized with default probabilities. Its name must not exist in the network and must not be "t". "t" is a reserved name for the time counter.

addChanceLabelNode(String, String[]) - Method in class com.bayesia.api.APIModeling

Deprecated.

As of release 3.1, replaced by APIModeling.addLabelNode(String, String[]) Creates a new discrete chance node with the specified states and add it to the network. Its conditional probability table is automatically generated and initialized with default probabilities. Its name must not exist in the network and must not be "t". "t" is a reserved name for the time counter.

addClassToNode(String, String) - Method in class com.bayesia.api.APIModeling

Add a class named className to the specified node.

addConstraintNode(String) - Method in class com.bayesia.api.APIModeling

Adds a constraint node with two boolean states.

addDecisionIntervalNode(String, String[], double[][]) - Method in class com.bayesia.api.APIModeling

Adds a new continuous (interval) decision node with the specified names for the decisions and the specified intervals.

addDecisionLabelNode(String, String[]) - Method in class com.bayesia.api.APIModeling

Add a new discrete decision node with the specified names for the decisions.

addFunctionNode(String) - Method in class com.bayesia.api.APIModeling

Adds a new function node to the network.

addIntConstant(String, int) - Method in class com.bayesia.api.APIModeling

Adds a constant with the given name, with a INTEGER type and a int value.

addIntervalNode(String, String[], double[][]) - Method in class com.bayesia.api.APIModeling

Creates a new continuous (interval) node with the specified states and the specified limits for each interval and add it to the network.

addLabelNode(String, String[]) - Method in class com.bayesia.api.APIModeling

Creates a new discrete node with the specified states and add it to the network.

addRealConstant(String, double) - Method in class com.bayesia.api.APIModeling

Adds a constant with the given name, with a REAL type and a double value.

addStringConstant(String, String) - Method in class com.bayesia.api.APIModeling

Adds a constant with the given name, with a STRING type and a String value.

addTemporalArc(String, String) - Method in class com.bayesia.api.APIModeling

Tries to add a temporal arc from nodeName1 to nodeName2.

addUtilityNode(String) - Method in class com.bayesia.api.APIModeling

Adds a new utility node to the network.

APIInference - Class in com.bayesia.api

The class APIInference is used to perform exact or approximate inference on a bayesian network.

APIInference(InputStream, String, int) - Constructor for class com.bayesia.api.APIInference

Creates a new APIInference with the network read from the specified InputStream.

APIInference(String, String, int) - Constructor for class com.bayesia.api.APIInference

Creates a new APIInference with the network stored in the specified file.

APIInference(InputStream, String, int, String, String, String, int) - Constructor for class com.bayesia.api.APIInference

Creates a new APIInference with the network read from the specified InputStream.

APIInference(String, String, int, String, String, String, int) - Constructor for class com.bayesia.api.APIInference

Creates a new APIInference with the network stored in the specified file.

APIInference(BayesianNetworkTransferHandler, String, int) - Constructor for class com.bayesia.api.APIInference

Creates a new APIInference with the network stored in the specified BayesianNetworkTransferHandler.

APIInference(BayesianNetworkTransferHandler, String, int, String, String, String, int) - Constructor for class com.bayesia.api.APIInference

Creates a new APIInference with the network stored in the specified BayesianNetworkTransferHandler.

APILearning - Class in com.bayesia.api

The class APILearning is used to perform supervised or unsepervised structure and parameter learning from given data and generate a bayesian network.

APILearning(Database, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with an empty bayesian network named new.xbl.

APILearning(Database, String, int, String, String, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with an empty bayesian network named new.xbl.

APILearning(Database, String, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with the network stored in the specified file.

APILearning(Database, String, String, int, String, String, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with the network stored in the specified file.

APILearning(Database, BayesianNetworkTransferHandler, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with the network stored in the specified BayesianNetworkTransferHandler.

APILearning(Database, BayesianNetworkTransferHandler, String, int, String, String, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with the network stored in the specified BayesianNetworkTransferHandler.

APILearning(Database, InputStream, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with the network read from the specified InputStream.

APILearning(Database, InputStream, String, int, String, String, String) - Constructor for class com.bayesia.api.APILearning

Create a new APILearning with the network read from the specified InputStream.

APIModeling - Class in com.bayesia.api

The class APIModeling is used to create bayesian networks.

APIModeling(String) - Constructor for class com.bayesia.api.APIModeling

Create a new APIModeling with an empty bayesian network named new.xbl.

APIModeling(String, int, String, String, String) - Constructor for class com.bayesia.api.APIModeling

Create a new APIModeling with an empty bayesian network named new.xbl.

APIModeling(String, String) - Constructor for class com.bayesia.api.APIModeling

Create a new APIModeling with the network stored in the specified file.

APIModeling(InputStream, String) - Constructor for class com.bayesia.api.APIModeling

Creates a new APIModeling with the network read from the specified InputStream.

APIModeling(String, String, int, String, String, String) - Constructor for class com.bayesia.api.APIModeling

Create a new APIModeling with the network stored in the specified file.

APIModeling(InputStream, String, int, String, String, String) - Constructor for class com.bayesia.api.APIModeling

Creates a new APIModeling with the network read from the specified InputStream.

APIModeling(BayesianNetworkTransferHandler, String) - Constructor for class com.bayesia.api.APIModeling

Create a new APIModeling with the network stored in the specified BayesianNetworkTransferHandler.

APIModeling(BayesianNetworkTransferHandler, String, int, String, String, String) - Constructor for class com.bayesia.api.APIModeling

Create a new APIModeling with the network stored in the specified BayesianNetworkTransferHandler.

APIUtils - Class in com.bayesia.api

The class APIUtils is a utility class where some enumerations and other static stuff are declared

APIUtils() - Constructor for class com.bayesia.api.APIUtils

APIUtils.DISCRETIZATION - Enum in com.bayesia.api

Enumeration of the available discretization algorithms.

APIUtils.LEARNING_ALGORITHM - Enum in com.bayesia.api

Enumeration of the available learning algorithms.

APIUtils.LETTER_CASE - Enum in com.bayesia.api

Enumeration of the available case formats for StringFormatter.

APIUtils.MEAN_MODE - Enum in com.bayesia.api

Enumeration of the mean observation's modes

APIUtils.NODE_SORTING_METHOD - Enum in com.bayesia.api

Enumeration of the node sorting methods.

APPROXIMATE_INFERENCE - Static variable in class com.bayesia.api.APIInference

arrangeNodePositions() - Method in class com.bayesia.api.APIModeling

Changes the positions of the nodes in order to place them on a rectangular grid separated by 100.

AugmentedMarkovBlanketSettings - Class in com.bayesia.api.learning.settings

Learning settings for the Markov blanket learning algorithm.

AugmentedNaiveSettings - Class in com.bayesia.api.learning.settings

Learning settings for the augmented naive learning algorithm.

A B C D E F G H I K L M N O P R S T U V