online.osslab

类 LinearRegression

java.lang.Object

online.osslab.LinearRegression

public class LinearRegression
extends java.lang.Object

Compilation: javac LinearRegression.java Execution: java LinearRegression Compute least squares solution to y = beta * x + alpha. Simple linear regression.

构造器概要

构造器

构造器和说明
LinearRegression(float[] x, float[] y) Performs a linear regression on the data points (y[i], x[i]).

方法概要

限定符和类型	方法和说明
double	intercept() Returns the y-intercept α of the best of the best-fit line y = α + β x.
double	interceptStdErr() Returns the standard error of the estimate for the intercept.
double	predict(double x) Returns the expected response y given the value of the predictor variable x.
double	R2() Returns the coefficient of determination R2.
double	slope() Returns the slope β of the best of the best-fit line y = α + β x.
double	slopeStdErr() Returns the standard error of the estimate for the slope.
java.lang.String	toString() Returns a string representation of the simple linear regression model.

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

构造器详细资料

LinearRegression

public LinearRegression(float[] x,
                        float[] y)

Performs a linear regression on the data points (y[i], x[i]).

参数:

x - the values of the predictor variable

y - the corresponding values of the response variable

方法详细资料

intercept

public double intercept()

Returns the y-intercept α of the best of the best-fit line y = α + β x.

返回:

the y-intercept α of the best-fit line y = α + β x

slope

public double slope()

Returns the slope β of the best of the best-fit line y = α + β x.

返回:

the slope β of the best-fit line y = α + β x

R2

public double R2()

Returns the coefficient of determination R².

返回:

the coefficient of determination R², which is a real number between 0 and 1

interceptStdErr

public double interceptStdErr()

Returns the standard error of the estimate for the intercept.

返回:

the standard error of the estimate for the intercept

slopeStdErr

public double slopeStdErr()

Returns the standard error of the estimate for the slope.

返回:

the standard error of the estimate for the slope

predict

public double predict(double x)

Returns the expected response y given the value of the predictor variable x.

参数:

x - the value of the predictor variable

返回:

the expected response y given the value of the predictor variable x

toString

public java.lang.String toString()

Returns a string representation of the simple linear regression model.

覆盖:

toString 在类中 java.lang.Object

返回:

a string representation of the simple linear regression model, including the best-fit line and the coefficient of determination R²