C# 클래스 Accord.Statistics.Models.Regression.LogisticRegression

상속: ICloneable
파일 보기 프로젝트 열기: accord-net/framework 1 사용 예제들

공개 메소드들

메소드 설명
GetConfidenceInterval ( int index ) : DoubleRange

Gets the 95% confidence interval for the Odds Ratio for a given coefficient.

GetOddsRatio ( int index ) : double

Gets the Odds Ratio for a given coefficient.

The odds ratio can be computed raising Euler's number (e ~~ 2.71) to the power of the associated coefficient.

LogisticRegression ( ) : System

Creates a new Logistic Regression Model.

비공개 메소드들

메소드 설명
FromWeights ( double weights ) : LogisticRegression
FromWeights ( double weights, double intercept ) : LogisticRegression
LogisticRegression ( int inputs ) : System
LogisticRegression ( int inputs, double intercept ) : System

메소드 상세

GetConfidenceInterval() 공개 메소드

Gets the 95% confidence interval for the Odds Ratio for a given coefficient.
public GetConfidenceInterval ( int index ) : DoubleRange
index int /// The coefficient's index. The first value /// (at zero index) is the intercept value. ///
리턴 AForge.DoubleRange

GetOddsRatio() 공개 메소드

Gets the Odds Ratio for a given coefficient.
The odds ratio can be computed raising Euler's number (e ~~ 2.71) to the power of the associated coefficient.
public GetOddsRatio ( int index ) : double
index int /// The coefficient's index. The first value /// (at zero index) is the intercept value. ///
리턴 double

LogisticRegression() 공개 메소드

Creates a new Logistic Regression Model.
public LogisticRegression ( ) : System
리턴 System