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## Uses of Class
de.jstacs.io.ParameterSetParser.NotInstantiableException

Packages that use ParameterSetParser.NotInstantiableException
de.jstacs.data | Provides classes for the representation of data.
de.jstacs.io | Provides classes for reading data from and writing to a file and storing a number of datatypes, including all primitives, arrays of primitives, and `Storable`s to an XML-representation
de.jstacs.models.hmm.training | The package provides all classes used to determine the training algorithm of a hidden Markov model
de.jstacs.parameters | This package provides classes for parameters that establish a general convention for the description of parameters as defined in the `Parameter`-interface.
de.jstacs.scoringFunctions.directedGraphicalModels | Provides `ScoringFunction`s that are equivalent to directed graphical models.

Uses of ParameterSetParser.NotInstantiableException in de.jstacs.data

Constructors in de.jstacs.data that throw ParameterSetParser.NotInstantiableException
`AlphabetContainer(AlphabetContainerParameterSet parameters)` Creates a new `AlphabetContainer` from an `AlphabetContainerParameterSet` that contains all necessary parameters.

Uses of ParameterSetParser.NotInstantiableException in de.jstacs.io

Methods in de.jstacs.io that throw ParameterSetParser.NotInstantiableException
`static InstantiableFromParameterSet` | `ParameterSetParser.getInstanceFromParameterSet(InstanceParameterSet pars)` Returns an instance of a subclass of `InstantiableFromParameterSet` that can be instantiated by the `InstanceParameterSet` `pars`.
`static InstantiableFromParameterSet` | `ParameterSetParser.getInstanceFromParameterSet(ParameterSet pars, Class instanceClass)` Returns an instance of a subclass of `InstantiableFromParameterSet` that can be instantiated by the `ParameterSet` `pars`.

Uses of ParameterSetParser.NotInstantiableException in de.jstacs.models.hmm.training

Methods in de.jstacs.models.hmm.training that throw ParameterSetParser.NotInstantiableException
`AbstractBurnInTest` | `SamplingHMMTrainingParameterSet.getBurnInTest()` This method return the burn in test to be used during sampling.
`AbstractTerminationCondition` | `MaxHMMTrainingParameterSet.getTerminantionCondition()` This method returns the `AbstractTerminationCondition` for stopping the training, e.g., if the difference of the scores between two iterations is smaller than a given threshold the training is stopped.

Uses of ParameterSetParser.NotInstantiableException in de.jstacs.parameters

Methods in de.jstacs.parameters that throw ParameterSetParser.NotInstantiableException
`InstantiableFromParameterSet` | `InstanceParameterSet.getInstance()` Returns a new instance of the class of `InstanceParameterSet.getInstanceClass()` that was created using this `ParameterSet`.

Uses of ParameterSetParser.NotInstantiableException in de.jstacs.scoringFunctions.directedGraphicalModels

Methods in de.jstacs.scoringFunctions.directedGraphicalModels that throw ParameterSetParser.NotInstantiableException
`Measure` | `BayesianNetworkScoringFunctionParameterSet.getMeasure()` Returns the structure `Measure` defined by this set of parameters.

Constructors in de.jstacs.scoringFunctions.directedGraphicalModels that throw ParameterSetParser.NotInstantiableException
`BayesianNetworkScoringFunction(BayesianNetworkScoringFunctionParameterSet parameters)` Creates a new `BayesianNetworkScoringFunction` that has neither been initialized nor trained from a `BayesianNetworkScoringFunctionParameterSet`.

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