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| Packages that use SymmetricTensor | |
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| 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.trainable.discrete.inhomogeneous | This package contains various inhomogeneous models. |
| Uses of SymmetricTensor in de.jstacs.algorithms.graphs |
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| Methods in de.jstacs.algorithms.graphs with parameters of type SymmetricTensor | |
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protected static int[][] |
DAG.computeMaxKDAG(SymmetricTensor score)
Computes the maximal k-DAG (see DAG), i.e. the k-DAG that
maximizes the score given by a SymmetricTensor. |
| Uses of SymmetricTensor in de.jstacs.algorithms.graphs.tensor |
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| Constructors in de.jstacs.algorithms.graphs.tensor with parameters of type SymmetricTensor | |
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SymmetricTensor(SymmetricTensor[] parts,
double[] weights)
The constructor can be used creating a new SymmetricTensor as
weighted sum of SymmetricTensors. |
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| Uses of SymmetricTensor in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
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| Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous that return SymmetricTensor | |
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SymmetricTensor |
StructureLearner.getTensor(DataSet data,
double[] weights,
byte order,
StructureLearner.LearningType method)
This method can be used to compute a Tensor that can be used to
determine the optimal structure. |
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