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## Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.FSDAGTrainSM

Packages that use FSDAGTrainSM
de.jstacs.sequenceScores.statisticalModels.trainable | Provides all `TrainableStatisticalModel`s, which can be learned from a single `DataSet`.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous | This package contains various inhomogeneous models.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared |

Uses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable

Methods in de.jstacs.sequenceScores.statisticalModels.trainable that return FSDAGTrainSM
`static FSDAGTrainSM` | `TrainableStatisticalModelFactory.createInhomogeneousMarkovModel(AlphabetContainer con, int length, double ess, byte order)` This method returns a inhomogeneous Markov model (IMM) with user-specified order.
`static FSDAGTrainSM` | `TrainableStatisticalModelFactory.createPWM(AlphabetContainer con, int length, double ess)` This method returns a position weight matrix (PWM).

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

Subclasses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous
`class` | `FSDAGModelForGibbsSampling` This is the class for a fixed structure directed acyclic graphical model (see `FSDAGTrainSM`) that can be used in a Gibbs sampling.

Uses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters

Constructor parameters in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters with type arguments of type FSDAGTrainSM
`FSDAGTrainSMParameterSet(Class<? extends FSDAGTrainSM> clazz)` This the constructor creates an empty `FSDAGTrainSMParameterSet` from the class that can be instantiated using this `FSDAGTrainSMParameterSet`.
`FSDAGTrainSMParameterSet(Class<? extends FSDAGTrainSM> clazz, AlphabetContainer alphabet, int length, double ess, String description, String graph)` This constructor creates an `FSDAGTrainSMParameterSet` instance for the specified class.

Uses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared with parameters of type FSDAGTrainSM
`SharedStructureClassifier(int length, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method, FSDAGTrainSM... models)` Creates a new `SharedStructureClassifier` from given `FSDAGTrainSM`s.
`SharedStructureMixture(FSDAGTrainSM[] m, StructureLearner.ModelType model, byte order, int starts, boolean estimateComponentProbs, double[] weights, double alpha, TerminationCondition tc)` Creates a new `SharedStructureMixture` instance with all relevant values.
`SharedStructureMixture(FSDAGTrainSM[] m, StructureLearner.ModelType model, byte order, int starts, double[] weights, double alpha, TerminationCondition tc)` Creates a new `SharedStructureMixture` instance with fixed component weights.
`SharedStructureMixture(FSDAGTrainSM[] m, StructureLearner.ModelType model, byte order, int starts, double alpha, TerminationCondition tc)` Creates a new `SharedStructureMixture` instance which estimates the component probabilities/weights.

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