LevenbergMarquardt Module

Namespace: FSharp.Stats.Fitting
Assembly: FSharp.Stats.dll
Parent Module: NonLinearRegression

Functions and values

Function or value Description

estimatedParams model solverOptions lambdaInitial lambdaFactor xData yData

Full Usage: estimatedParams model solverOptions lambdaInitial lambdaFactor xData yData

Parameters:
    model : Model -
    solverOptions : SolverOptions -
    lambdaInitial : float -
    lambdaFactor : float -
    xData : float[] -
    yData : float[] -

Returns: vector

Returns a parameter vector as a possible solution for least square based nonlinear fitting of a given dataset (xData, yData) with a given
model function.

model : Model

solverOptions : SolverOptions

lambdaInitial : float

lambdaFactor : float

xData : float[]

yData : float[]

Returns: vector

Example

estimatedParamsVerbose model solverOptions lambdaInitial lambdaFactor xData yData

Full Usage: estimatedParamsVerbose model solverOptions lambdaInitial lambdaFactor xData yData

Parameters:
    model : Model -
    solverOptions : SolverOptions -
    lambdaInitial : float -
    lambdaFactor : float -
    xData : float[] -
    yData : float[] -

Returns: ResizeArray<vector>

Returns an collection of parameter vectors as a possible solution for linear least square based nonlinear fitting of a given dataset (xData, yData) with a given
model function.

model : Model

solverOptions : SolverOptions

lambdaInitial : float

lambdaFactor : float

xData : float[]

yData : float[]

Returns: ResizeArray<vector>

Example