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