Class PolynomialRegression

java.lang.Object

org.episteme.core.mathematics.statistics.fitting.PolynomialRegression

public class PolynomialRegression
extends Object

Polynomial regression: y = a₀ + a₁x + a₂x² + ... + aₙxⁿ.

Uses normal equations with LU decomposition for stability.

Since:

1.0

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Method Summary

Modifier and Type	Method	Description
static PolynomialRegression	fit(double[] x, double[] y, int degree)	Fits a polynomial of given degree to the data.
double[]	getCoefficients()
int	getDegree()
double	getRSquared()
double	predict(double x)	Predicts y for given x.
Real	predict(Real x)
String	toString()

Methods inherited from class Object

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

Method Details

fit

public static PolynomialRegression fit(double[] x,
 double[] y,
 int degree)

Fits a polynomial of given degree to the data.

Parameters:

x - Independent variable values

y - Dependent variable values

degree - Polynomial degree (1 = linear, 2 = quadratic, etc.)

Returns:

PolynomialRegression model

predict

public double predict(double x)

Predicts y for given x.

predict

public Real predict(Real x)

getCoefficients

public double[] getCoefficients()

getDegree

public int getDegree()

getRSquared

public double getRSquared()

toString

public String toString()

Overrides:

toString in class Object