Class GaussianObservations
- Namespace
- Bonsai.ML.HiddenMarkovModels.Observations
- Assembly
- Bonsai.ML.HiddenMarkovModels.dll
Represents an operator that is used to create and transform an observable sequence of GaussianObservations objects.
[Combinator]
[WorkflowElementCategory(ElementCategory.Source)]
[JsonObject(MemberSerialization.OptIn)]
public class GaussianObservations : ObservationModel- Inheritance
-
GaussianObservations
- Inherited Members
Constructors
- GaussianObservations()
Constructs a new instance of the PythonModel class.
- GaussianObservations(params object[])
Initializes a new instance of the PythonModel class using keyword arguments.
Properties
- Mus
The means of the observations for each state.
- ObservationModelType
The type of Observations model.
- Params
The parameters that are used to define the model.
- SqrtSigmas
The standard deviations of the observations for each state.
Methods
- CheckKwargs(params object[])
Checks if the keyword arguments are valid.
- CheckParams(params object[])
Checks if the parameters are valid.
- Process()
Returns an observable sequence of GaussianObservations objects.
- Process(IObservable<PyObject>)
Transforms an observable sequence of Python.Runtime.PyObject into an observable sequence of GaussianObservations objects by accessing internal attributes of the Python.Runtime.PyObject.
- UpdateParams(params object[])
Updates the parameters.