Namespace Bonsai.ML.HiddenMarkovModels.Transitions
Classes
- ConstrainedStationaryTransitions
Represents an operator that is used to create and transform an observable sequence of ConstrainedStationaryTransitions objects.
- NeuralNetworkRecurrentTransitions
Represents an operator that is used to create and transform an observable sequence of NeuralNetworkRecurrentTransitions objects.
- StationaryTransitions
Represents an operator that is used to create and transform an observable sequence of StationaryTransitions objects.
- StickyTransitions
Represents an operator that is used to create and transform an observable sequence of StickyTransitions objects.
- TransitionModel
An abstract class for creating a Transitions model.
- TransitionModelLookup
A lookup class for relating different TransitionModelType to TransitionModel and their corresponding Python string representations.
- TransitionModelTypeJsonConverter
Provides a type converter to convert between TransitionModelType and the corresponding Python string representation.
Enums
- NonlinearityType
Represents the type of nonlinearity to use in a recurrent neural network.
- TransitionModelType
Represents the type of transitions in a hidden Markov model.