Table of Contents

Class NeuralNetworkRecurrentTransitions

Namespace
Bonsai.ML.HiddenMarkovModels.Transitions
Assembly
Bonsai.ML.HiddenMarkovModels.dll

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

[Combinator]
[WorkflowElementCategory(ElementCategory.Source)]
[JsonObject(MemberSerialization.OptIn)]
public class NeuralNetworkRecurrentTransitions : TransitionModel
Inheritance
NeuralNetworkRecurrentTransitions
Inherited Members

Constructors

NeuralNetworkRecurrentTransitions()

Constructs a new instance of the PythonModel class.

NeuralNetworkRecurrentTransitions(params object[])

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

Properties

Biases

The biases.

HiddenLayerSizes

The sizes of the hidden layers.

Kwargs

The dictionary of keyword arguments that are used to construct the model.

KwargsArray
LogPs

The Log Ps of the transitions.

NonlinearityType

The type of nonlinearity or activation function.

Params

The parameters that are used to define the model.

TransitionModelType

The type of Transitions model.

Weights

The weights.

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 NeuralNetworkRecurrentTransitions objects.

Process(IObservable<PyObject>)

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

UpdateKwargs(params object[])

Updates the kwargs dictionary.

UpdateParams(params object[])

Updates the parameters.