Class KFModelParameters
- Namespace
- Bonsai.ML.LinearDynamicalSystems.LinearRegression
- Assembly
- Bonsai.ML.LinearDynamicalSystems.dll
Represents an operator that creates the model parameters for a Kalman Filter Linear Regression python class
[Combinator]
[WorkflowElementCategory(ElementCategory.Source)]
public class KFModelParameters- Inheritance
-
KFModelParameters
- Inherited Members
Constructors
- KFModelParameters()
Constructs a KF Model Parameters class.
Properties
- LikelihoodPrecisionCoefficient
Gets or sets the likelihood precision coefficient.
- NumFeatures
Gets or sets the number of features present in the model.
- P
Gets or sets the matrix representing the covariance between state components.
- PriorPrecisionCoefficient
Gets or sets the prior precision coefficient.
- X
Gets or sets the matrix representing the mean of the state.
Methods
- Process()
Generates parameters for a Kalman Filter Linear Regression Model
- Process(IObservable<PyObject>)
Gets the model parameters from a PyObject of a Kalman Filter Linear Regression Model
- Process<TSource>(IObservable<TSource>)
Generates parameters for a Kalman Filter Linear Regression Model on each input
- ToString()
Returns a string that represents the current object.