Package org.pepstock.charba.client.ml

Class AbstractBuilder<T>

java.lang.Object

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

Type Parameters:

T - type of regression builder

Direct Known Subclasses:

RegressionBuilder, RegressionDatasetBuilder

public abstract class AbstractBuilder<T>
extends Object

Common utility which is managing the samples to use to create a regression.

Author:

Andrea "Stock" Stocchero

Method Summary

Modifier and Type	Method	Description
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

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