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
sourceIObservable<PyObject>