Table of Contents

Class State

Namespace
Bonsai.ML.LinearDynamicalSystems
Assembly
Bonsai.ML.LinearDynamicalSystems.dll

State of a Kalman Filter (mean vector and covariance matrix)

[Combinator]
[WorkflowElementCategory(ElementCategory.Transform)]
public class State
Inheritance
State
Inherited Members

Properties

P

Covariance matrix - n x n dimensional matrix where n is number of features

[JsonProperty("P")]
public double[,] P { get; set; }

Property Value

double[,]

X

Mean vector - n x 1 dimensional matrix where n is number of features

[JsonProperty("x")]
public double[,] X { get; set; }

Property Value

double[,]

Methods

Process(IObservable<PyObject>)

Grabs the state of a Kalman Filter from a type of PyObject ///

public IObservable<State> Process(IObservable<PyObject> source)

Parameters

source IObservable<PyObject>

Returns

IObservable<State>