Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET

  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Blog
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Nuget packages
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Nuget packages
    • Configuration
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Data Access Library User's Guide
    • Reference
  • Reference
    • Extreme
    • Extreme.Collections
    • Extreme.Data
    • Extreme.Data.Json
    • Extreme.Data.Matlab
    • Extreme.Data.R
    • Extreme.Data.Stata
    • Extreme.Data.Text
    • Extreme.DataAnalysis
    • Extreme.DataAnalysis.Linq
    • Extreme.DataAnalysis.Models
    • Extreme.Mathematics
    • Extreme.Mathematics.Algorithms
    • Extreme.Mathematics.Calculus
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
    • Extreme.Mathematics.Curves
    • Extreme.Mathematics.Curves.Nonlinear
    • Extreme.Mathematics.Distributed
    • Extreme.Mathematics.EquationSolvers
    • Extreme.Mathematics.Generic
    • Extreme.Mathematics.LinearAlgebra
    • Extreme.Mathematics.LinearAlgebra.Implementation
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
    • Extreme.Mathematics.Optimization
    • Extreme.Mathematics.Optimization.LineSearches
    • Extreme.Mathematics.Random
    • Extreme.Mathematics.SignalProcessing
    • Extreme.Providers
    • Extreme.Providers.InteropServices
    • Extreme.Statistics
    • Extreme.Statistics.Distributions
    • Extreme.Statistics.Multivariate
    • Extreme.Statistics.Tests
    • Extreme.Statistics.TimeSeriesAnalysis
  • Extreme.Mathematics.Curves
    • BarycentricBasis Class
    • BarycentricSeries Class
    • ChebyshevBasis Class
    • ChebyshevSeries Class
    • CubicSpline Class
    • CubicSplineKind Enumeration
    • Curve Class
    • CurveFitter Class
    • FunctionBasis Class
    • GeneralCurve Class
    • GeneralFunctionBasis Class
    • LinearCombination Class
    • LinearCurveFitter Class
    • LinearLeastSquaresMethod Enumeration
    • NonlinearCurve Class
    • NonlinearCurveFitter Class
    • NonlinearCurveFitter(T) Class
    • NonlinearCurveFittingMethod Enumeration
    • PiecewiseConstantCurve Class
    • PiecewiseCurve Class
    • PiecewiseLinearCurve Class
    • Point Structure
    • Polynomial Class
    • PolynomialBase Class
    • PolynomialBasis Class
    • WeightFunctions Class
  • CurveFitter Class
    • CurveFitter Constructor
    • Properties
    • Methods
  • Properties
    • BestFitParameters Property
    • Curve Property
    • InitialGuess Property
    • Residuals Property
    • ScaleVector Property
    • StandardError Property
    • WeightFunction Property
    • WeightVector Property
    • XValues Property
    • YValues Property
  • WeightFunction Property

CurveFitterWeightFunction Property

Extreme Optimization Numerical Libraries for .NET Professional
Gets or sets the weight function.

Namespace:  Extreme.Mathematics.Curves
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
Copy
public Func<double, double, double> WeightFunction { get; set; }
Public Property WeightFunction As Func(Of Double, Double, Double)
	Get
	Set
public:
property Func<double, double, double>^ WeightFunction {
	Func<double, double, double>^ get ();
	void set (Func<double, double, double>^ value);
}
member WeightFunction : Func<float, float, float> with get, set

Property Value

Type: FuncDouble, Double, Double
Remarks

The weight function specifies a function that computes the weight that is to be applied to each observation in terms of the x and/or y-value of that observation. The property is a function of two variables delegate. The first parameter corresponds to the x-value of the observation. The second parameter corresponds to the y-value of the observation.

You can specify the individual weights to arbitrary values by setting the WeightVector property.

See Also

Reference

CurveFitter Class
Extreme.Mathematics.Curves Namespace

Copyright (c) 2004-2021 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2021, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.