Class ModelParameters
- Namespace
- Bonsai.ML.HiddenMarkovModels
- Assembly
- Bonsai.ML.HiddenMarkovModels.dll
Represents the model parameters of a Hidden Markov Model (HMM).
[Combinator]
[WorkflowElementCategory(ElementCategory.Source)]
[JsonConverter(typeof(ModelParametersJsonConverter))]
public class ModelParameters : PythonStringBuilder- Inheritance
-
ModelParameters
- Inherited Members
Constructors
- ModelParameters()
Initializes a new instance of the ModelParameters class.
Properties
- Dimensions
The dimensionality of the observations going into the HMM.
- NumStates
The number of discrete latent states in the HMM model.
- ObservationModelType
The type of distribution that the HMM will use to model the emission of data observations.
- StateParameters
The state parameters of the HMM model.
- TransitionModelType
The type of transition model that the HMM will use to calculate the probabilities of transitioning between states.
Methods
- BuildString()
Method used to build a string representation of the object.
- Process()
Returns an observable sequence of ModelParameters objects.
- Process(IObservable<PyObject>)
Transforms an observable sequence of Python.Runtime.PyObject into an observable sequence of ModelParameters objects by accessing internal attributes of the Python.Runtime.PyObject.
- Process<TSource>(IObservable<TSource>)
Takes an observable seqence and returns an observable sequence of ModelParameters objects that are emitted every time the input sequence emits a new element.