Package org.pepstock.charba.client.ml

Class RegressionBuilder

java.lang.Object

org.pepstock.charba.client.ml.RegressionBuilder

public final class RegressionBuilder
extends Object

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.
T	setSamples(List<Double> y)	Sets samples, using the passed Y values. X values are creating starting from 0 with increment of 1.
T	setSamples(List<Double> y, double starting)	Sets samples, using the passed Y values. X values are creating starting from passed argument with increment of 1.
T	setSamples(List<Double> y, double starting, double increment)	Sets samples, using the passed Y values. X values are creating starting from passed argument with increment of passed argument.
T	setSamples(List<Double> x, List<Double> y)	Creates a simple linear regression, using the passed X and Y values.
T	setSamplesByDataPoints(List<DataPoint> dataPoints)	Creates a simple linear regression, using the passed DataPoints.
T	setSamplesByDates(List<Date> x, List<Double> y)	Creates a simple linear regression, using the passed X and Y values.
T	setSamplesByTimeSeriesItems(List<TimeSeriesItem> items)	Creates a simple linear regression, using the passed TimeSeriesItems.

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

setSamples

public final T setSamples(List<Double> y)

Sets samples, using the passed Y values.
X values are creating starting from 0 with increment of 1.

Parameters:

y - Y values to use to create the regression

Returns:

regression builder

setSamples

public final T setSamples(List<Double> y,
                          double starting)

Sets samples, using the passed Y values.
X values are creating starting from passed argument with increment of 1.

Parameters:

y - Y values to use to create the regression

starting - starting value to create X values

Returns:

regression builder instance

setSamples

public T setSamples(List<Double> y,
                    double starting,
                    double increment)

Sets samples, using the passed Y values.
X values are creating starting from passed argument with increment of passed argument.

Parameters:

y - Y values to use to create the regression

starting - starting value to create X values

increment - increment to apply to the starting value

Returns:

regression builder instance

setSamplesByDates

public T setSamplesByDates(List<Date> x,
                           List<Double> y)

Creates a simple linear regression, using the passed X and Y values.

Parameters:

x - X values to use to create the regression

y - Y values to use to create the regression

Returns:

regression builder instance

setSamplesByDataPoints

public T setSamplesByDataPoints(List<DataPoint> dataPoints)

Creates a simple linear regression, using the passed DataPoints.

Parameters:

dataPoints - data points to use to create the regression

Returns:

regression builder instance

setSamplesByTimeSeriesItems

public T setSamplesByTimeSeriesItems(List<TimeSeriesItem> items)

Creates a simple linear regression, using the passed TimeSeriesItems.

Parameters:

items - time series items to use to create the regression

Returns:

regression builder instance

setSamples

public T setSamples(List<Double> x,
                    List<Double> y)

Creates a simple linear regression, using the passed X and Y values.

Parameters:

x - X values to use to create the regression

y - Y values to use to create the regression

Returns:

regression builder instance