Class StationaryTransitions

Namespace

Bonsai.ML.HiddenMarkovModels.Transitions

Assembly

Bonsai.ML.HiddenMarkovModels.dll

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

[Combinator]
[WorkflowElementCategory(ElementCategory.Source)]
[JsonObject(MemberSerialization.OptIn)]
public class StationaryTransitions : TransitionModel

Inheritance

object

PythonStringBuilder

PythonModel

TransitionModel

StationaryTransitions

Inherited Members

TransitionModel.ModelName

TransitionModel.ModelType

PythonModel.KwargsArray

PythonModel.Kwargs

PythonModel.UpdateKwargs(params object[])

PythonModel.BuildString()

PythonStringBuilder.StringBuilder

PythonStringBuilder.UpdateString()

PythonStringBuilder.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Constructors

StationaryTransitions()

Constructs a new instance of the PythonModel class.

StationaryTransitions(params object[])

Initializes a new instance of the PythonModel class using keyword arguments.

Properties

LogPs

The Log Ps of the transitions.

Params

The parameters that are used to define the model.

TransitionModelType

The type of Transitions 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 StationaryTransitions objects.

Process(IObservable<PyObject>)

Transforms an observable sequence of Python.Runtime.PyObject into an observable sequence of StationaryTransitions objects by accessing internal attributes of the Python.Runtime.PyObject.

UpdateParams(params object[])

Updates the parameters.