tech.tablesaw.api.ml.regression

Class LeastSquares

java.lang.Object

tech.tablesaw.api.ml.regression.LeastSquares

public class LeastSquares
extends Object

Constructor Summary

Constructors

Constructor and Description
LeastSquares(NumericColumn responseVariable, NumericColumn... explanatoryVars)

Method Summary

Modifier and Type	Method and Description
double[]	actuals()
double	adjustedRSquared()
double[]	coefficients()
double	df()
double	error()
double[]	fitted()
double	ftest()
double	intercept()
double	predict(double[] x)
double	pValue()
double[]	residuals()
double	RSquared()
double	RSS()
String	toString()
static LeastSquares	train(NumericColumn responseVar, NumericColumn... explanatoryVars)
double[][]	ttest()

Methods inherited from class java.lang.Object

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

Constructor Detail

LeastSquares

public LeastSquares(NumericColumn responseVariable,
                    NumericColumn... explanatoryVars)

Method Detail

train

public static LeastSquares train(NumericColumn responseVar,
                                 NumericColumn... explanatoryVars)

toString

public String toString()

Overrides:

toString in class Object

residuals

public double[] residuals()

fitted

public double[] fitted()

adjustedRSquared

public double adjustedRSquared()

df

public double df()

error

public double error()

ftest

public double ftest()

pValue

public double pValue()

intercept

public double intercept()

RSquared

public double RSquared()

RSS

public double RSS()

ttest

public double[][] ttest()

predict

public double predict(double[] x)

coefficients

public double[] coefficients()

actuals

public double[] actuals()