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

Packages that use Tensor
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
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
 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
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
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
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
static int[][] StructureLearner.getStructure(Tensor t, StructureLearner.ModelType model, byte order)
          This method can be used to determine the optimal structure of a model.