Package org.pepstock.charba.client.ml

Class RegressionBuilder

java.lang.Object

org.pepstock.charba.client.ml.AbstractBuilder<RegressionBuilder>

org.pepstock.charba.client.ml.RegressionBuilder

public final class RegressionBuilder
extends AbstractBuilder<RegressionBuilder>

Builds regressions instances.

Author:

Andrea "Stock" Stocchero

Method Summary

Modifier and Type	Method	Description
static IsRegression	build(IsRegression regression)	Creates new regression instance, using the passed regression instance.
static IsRegression	build(RegressionDescriptor descriptor)	Creates new regression, using the passed regression descriptor instance to create new regression.
ExponentialRegression	buildExponentialRegression()	Creates a exponential regression.
LinearRegression	buildLinearRegression()	Creates a simple linear regression.
PolynomialRegression	buildPolynomialRegression()	Creates a polynomial regression. It uses the default degree, 2.
PolynomialRegression	buildPolynomialRegression(int degree)	Creates a polynomial regression.
PowerRegression	buildPowerRegression()	Creates a power regression.
RobustPolynomialRegression	buildRobustPolynomialRegression()	Creates a robust polynomial regression. It uses the default degree, 2.
RobustPolynomialRegression	buildRobustPolynomialRegression(int degree)	Creates a robust polynomial regression.
TheilSenRegression	buildTheilSenRegression()	Creates a TheilSen regression.
static RegressionBuilder	create()	Creates new regression builder, without any sample.
static RegressionBuilder	create(List<Double> x, List<Double> y)	Creates new regression builder, using the passed data as samples.
static RegressionBuilder	create(IsRegression regression)	Creates new regression builder, using the passed regression instance.
static RegressionBuilder	create(RegressionDescriptor descriptor)	Creates new regression builder, using the passed regression descriptor instance to create new regression.

Methods inherited from class org.pepstock.charba.client.ml.AbstractBuilder

setSamples, setSamples, setSamples, setSamples, setSamplesByDataPoints, setSamplesByDates, setSamplesByTimeSeriesItems

Methods inherited from class java.lang.Object

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

Method Detail

create

public static RegressionBuilder create()

Creates new regression builder, without any sample.

Returns:

new regression builder, without any sample

create

public static RegressionBuilder create(List<Double> x,
                                       List<Double> y)

Creates new regression builder, using the passed data as samples.

Parameters:

x - X values to use to create the regression

y - Y values to use to create the regression

Returns:

new regression builder

create

public static RegressionBuilder create(IsRegression regression)

Creates new regression builder, using the passed regression instance.

Parameters:

regression - regression instance to clone

Returns:

new regression builder

create

public static RegressionBuilder create(RegressionDescriptor descriptor)

Creates new regression builder, using the passed regression descriptor instance to create new regression.

Parameters:

descriptor - regression descriptor instance to create new regression

Returns:

new regression builder

build

public static IsRegression build(IsRegression regression)

Creates new regression instance, using the passed regression instance.

Parameters:

regression - regression instance to clone

Returns:

new regression

build

public static IsRegression build(RegressionDescriptor descriptor)

Creates new regression, using the passed regression descriptor instance to create new regression.

Parameters:

descriptor - regression descriptor instance to create new regression

Returns:

new regression

buildLinearRegression

public LinearRegression buildLinearRegression()

Creates a simple linear regression.

Returns:

simple linear regression instance

buildPolynomialRegression

public PolynomialRegression buildPolynomialRegression()

Creates a polynomial regression.
It uses the default degree, 2.

Returns:

polynomial regression instance

buildPolynomialRegression

public PolynomialRegression buildPolynomialRegression(int degree)

Creates a polynomial regression.

Parameters:

degree - the maximum degree of the polynomial

Returns:

polynomial regression instance

buildPowerRegression

public PowerRegression buildPowerRegression()

Creates a power regression.

Returns:

power regression instance

buildExponentialRegression

public ExponentialRegression buildExponentialRegression()

Creates a exponential regression.

Returns:

exponential regression instance

buildTheilSenRegression

public TheilSenRegression buildTheilSenRegression()

Creates a TheilSen regression.

Returns:

TheilSen regression instance

buildRobustPolynomialRegression

public RobustPolynomialRegression buildRobustPolynomialRegression()

Creates a robust polynomial regression.
It uses the default degree, 2.

Returns:

robust polynomial regression instance

buildRobustPolynomialRegression

public RobustPolynomialRegression buildRobustPolynomialRegression(int degree)

Creates a robust polynomial regression.

Parameters:

degree - the maximum degree of the robust polynomial

Returns:

robust polynomial regression instance