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

object

KFModelParameters

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Constructors

KFModelParameters()

Constructs a KF Model Parameters class.

public KFModelParameters()

Properties

LikelihoodPrecisionCoefficient

Gets or sets the likelihood precision coefficient.

[JsonProperty("likelihood_precision_coef")]
public double LikelihoodPrecisionCoefficient { get; set; }

Property Value

double

NumFeatures

Gets or sets the number of features present in the model.

[JsonProperty("n_features")]
public int NumFeatures { get; set; }

Property Value

int

P

Gets or sets the matrix representing the covariance between state components.

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

Property Value

double[,]

PriorPrecisionCoefficient

Gets or sets the prior precision coefficient.

[JsonProperty("prior_precision_coef")]
public double PriorPrecisionCoefficient { get; set; }

Property Value

double

X

Gets or sets the matrix representing the mean of the state.

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

Property Value

double[,]

Methods

Process()

Generates parameters for a Kalman Filter Linear Regression Model

public IObservable<KFModelParameters> Process()

Returns

IObservable<KFModelParameters>

Process(IObservable<PyObject>)

Gets the model parameters from a PyObject of a Kalman Filter Linear Regression Model

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

Parameters

source IObservable<PyObject>

Returns

IObservable<KFModelParameters>

Process<TSource>(IObservable<TSource>)

Generates parameters for a Kalman Filter Linear Regression Model on each input

public IObservable<KFModelParameters> Process<TSource>(IObservable<TSource> source)

Parameters

source IObservable<TSource>

Returns

IObservable<KFModelParameters>

Type Parameters

TSource

ToString()

Returns a string that represents the current object.

public override string ToString()

Returns

string

A string that represents the current object.