menu

WPF

  • Code Examples
  • Upgrade Guide
  • User Guide
  • Demos
  • Support
  • Forums
  • Download
Class MultinomialRegression - WPF API Reference | Syncfusion

    Show / Hide Table of Contents

    Class MultinomialRegression

    Represents the methods for Multinomial regression technique

    Inheritance
    System.Object
    MultinomialRegression
    Inherited Members
    System.Object.Equals(System.Object)
    System.Object.Equals(System.Object, System.Object)
    System.Object.GetHashCode()
    System.Object.GetType()
    System.Object.MemberwiseClone()
    System.Object.ReferenceEquals(System.Object, System.Object)
    System.Object.ToString()
    Namespace: Syncfusion.PMML
    Assembly: Syncfusion.PMML.Base.dll
    Syntax
    public class MultinomialRegression

    Constructors

    MultinomialRegression(PMMLDocument)

    Creates Instance for MultinomialRegression

    Declaration
    public MultinomialRegression(PMMLDocument document)
    Parameters
    Type Name Description
    PMMLDocument document

    PMML Document

    Methods

    GetPredictedOutcome(Dictionary<String, Double>)

    Compare Results

    Declaration
    public object GetPredictedOutcome(Dictionary<string, double> results)
    Parameters
    Type Name Description
    System.Collections.Generic.Dictionary<System.String, System.Double> results

    Predicted Results

    Returns
    Type Description
    System.Object

    Predicted Value

    GetPredictedOutcome(Dictionary<String, Double>, RegressionModel)

    Compare and obtain output field matching results

    Declaration
    public object GetPredictedOutcome(Dictionary<string, double> results, RegressionModel regressionModel)
    Parameters
    Type Name Description
    System.Collections.Generic.Dictionary<System.String, System.Double> results

    Predicted Results

    RegressionModel regressionModel

    Regression model

    Returns
    Type Description
    System.Object

    Predicted Value

    Back to top Generated by DocFX
    Copyright © 2001 - 2025 Syncfusion Inc. All Rights Reserved