Uses of Class
de.jstacs.algorithms.graphs.tensor.Tensor

Packages that use Tensor

Package	Description
de.jstacs.algorithms.graphs	Provides classes for algorithms on graphs.
de.jstacs.algorithms.graphs.tensor	Provides classes to represent symmetric and asymmetric tensors in graphs.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures	Provides the facilities to learn the structure of a BayesianNetworkDiffSM.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous	This package contains various inhomogeneous models.

Uses of Tensor in de.jstacs.algorithms.graphs

Methods in de.jstacs.algorithms.graphs with parameters of type Tensor

Modifier and Type	Method and Description
static int[]	DAG.computeMaximalHP(Tensor score) The method computes the HP(k) (see DAG).
static int[][]	DAG.computeMaximalKDAG(Tensor score) Computes the maximal k-DAG (see DAG), i.e.
static int[]	DAG.enumerateHP(Tensor score) The method computes the HP(k) (see DAG).
static double	DAG.getScore(Tensor t, int[][] structure) Returns the score for any graph.
static double	DAG.getScoreForPath(Tensor score, int l, byte k, int[] path) Returns the score for a given path path using the first l nodes and dependencies of order k.
static int[][]	DAG.getStructureFromPath(int[] path, Tensor score) Extracts the structure from a given path path and score-"function".
static String	DAG.toWeightedGraphvizFormat(int[][] structure, String arrow, Tensor t) This method returns a String representation of the weighted structure that can be used in Graphviz to create an image.

Uses of Tensor in de.jstacs.algorithms.graphs.tensor

Subclasses of Tensor in de.jstacs.algorithms.graphs.tensor

Modifier and Type	Class and Description
class	AsymmetricTensor This class can be used for Tensors which are not symmetric, as opposed to the symmetry defined in SymmetricTensor.
class	SubTensor This Tensor can be used to extract or use only a part of a complete Tensor.
class	SymmetricTensor This class can be used for Tensors with a special symmetry property.

Methods in de.jstacs.algorithms.graphs.tensor that return Tensor

Modifier and Type	Method and Description
static Tensor	Tensor.readTensorFromFile(String fname, boolean asym) The opposite of the method writeTensorToFile(String, OutputStream).

Constructors in de.jstacs.algorithms.graphs.tensor with parameters of type Tensor

Constructor and Description
SubTensor(Tensor t, int offset, int length) This constructor creates a SubTensor using the Tensor t for the nodes offset, offset+1, ..., offset+length-1.

Uses of Tensor in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures with parameters of type Tensor

Modifier and Type	Method and Description
protected static void	Measure.fillTensor(Tensor t, double[][] weights) Fills a Tensor t with the weights defined in weights.
protected static void	Measure.fillTensor(Tensor t, double[][][] weights) Fills a Tensor t with the weights defined in weights.

Uses of Tensor in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous with parameters of type Tensor

Modifier and Type	Method and Description
static int[][]	StructureLearner.getStructure(Tensor t, StructureLearner.ModelType model, byte order) This method can be used to determine the optimal structure of a model.