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## Uses of Class
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures.BTMutualInformation.DataSource

Packages that use BTMutualInformation.DataSource
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures | Provides the facilities to learn the structure of a `BayesianNetworkDiffSM` as a Bayesian tree using a number of measures to define a rating of structures
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.pmmMeasures | Provides the facilities to learn the structure of a `BayesianNetworkDiffSM` as a permuted Markov model using a number of measures to define a rating of structures

Uses of BTMutualInformation.DataSource in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures that return BTMutualInformation.DataSource
`BTMutualInformation.DataSource` | `BTMutualInformation.BTMutualInformationParameterSet.getClazz()` Returns the source of the data to compute the mutual information as defined by this set of parameters.
`static BTMutualInformation.DataSource` | `BTMutualInformation.DataSource.valueOf(String name)` Returns the enum constant of this type with the specified name.
`static BTMutualInformation.DataSource[]` | `BTMutualInformation.DataSource.values()` Returns an array containing the constants of this enum type, in the order they are declared.

Constructors in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures with parameters of type BTMutualInformation.DataSource
`BTMutualInformation.BTMutualInformationParameterSet(BTMutualInformation.DataSource clazz, double[] ess)` Creates a new `BTMutualInformation.BTMutualInformationParameterSet` with the parameter for the `BTMutualInformation.DataSource` set to `clazz` and the parameter for the equivalent sample sizes (ess) set to `ess`.
`BTMutualInformation(BTMutualInformation.DataSource clazz, double[] ess)` Creates a new mutual information Bayesian tree `Measure`.

Uses of BTMutualInformation.DataSource in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.pmmMeasures

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.pmmMeasures that return BTMutualInformation.DataSource
`BTMutualInformation.DataSource` | `PMMMutualInformation.PMMMutualInformationParameterSet.getClazz()` Returns the source of the data to compute the mutual information as defined by this set of parameters.

Constructors in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.pmmMeasures with parameters of type BTMutualInformation.DataSource
`PMMMutualInformation.PMMMutualInformationParameterSet(byte order, BTMutualInformation.DataSource clazz, double[] ess)` Creates a new `PMMMutualInformation.PMMMutualInformationParameterSet` with the parameter for the order set to `order`, the parameter for the `BTMutualInformation.DataSource` set to `clazz` and the parameter for the equivalent sample sizes (ess) set to `ess`.
`PMMMutualInformation(byte order, BTMutualInformation.DataSource clazz, double[] ess)` Creates a new `PMMMutualInformation` of order `order`.

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