Table of Contents

Namespace Bonsai.ML.HiddenMarkovModels.Observations

Classes

AutoRegressiveObservations

Represents an operator that is used to create and transform an observable sequence of AutoRegressiveObservations objects.

BernoulliObservations

Represents an operator that is used to create and transform an observable sequence of BernoulliObservations objects.

CategoricalObservations

Represents an operator that is used to create and transform an observable sequence of CategoricalObservations objects.

ExponentialObservations

Represents an operator that is used to create and transform an observable sequence of ExponentialObservations objects.

GaussianObservationStatistics

Represents an operator that will transform an observable sequence of Python.Runtime.PyObject into an observable sequence of GaussianObservationStatistics.

GaussianObservations

Represents an operator that is used to create and transform an observable sequence of GaussianObservations objects.

ObservationModel

An abstract class for creating an Observations model.

ObservationModelLookup

A lookup class for relating different ObservationModelType to ObservationModel and their corresponding Python string representations.

ObservationModelTypeJsonConverter

Provides a type converter to convert between ObservationModelType and the corresponding Python string representation.

PoissonObservations

Represents an operator that is used to create and transform an observable sequence of PoissonObservations objects.

Enums

ObservationModelType

Represents the type of observations in a hidden Markov model.