jsat.math

Class SimpleLinearRegression

java.lang.Object

jsat.math.SimpleLinearRegression

public class SimpleLinearRegression
extends Object

Author:

Edward Raff

Constructor Summary

Constructors

Constructor and Description
SimpleLinearRegression()

Method Summary

Modifier and Type	Method and Description
static double[]	regres(Vec xData, Vec yData) Performs a Simple Linear Regression on the data set, calculating the best fit a and b such that y = a + b * x

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleLinearRegression

public SimpleLinearRegression()

Method Detail

regres

public static double[] regres(Vec xData,
                              Vec yData)

Performs a Simple Linear Regression on the data set, calculating the best fit a and b such that y = a + b * x

Parameters:

yData - the Y data set (to be predicted)

xData - the X data set (the predictor)

Returns:

an array containing the a and b, such that index 0 contains a and index 1 contains b