Package org.pepstock.charba.client.ml

Class RegressionDatasetBuilder

java.lang.Object

org.pepstock.charba.client.ml.RegressionDatasetBuilder

public final class RegressionDatasetBuilder
extends Object

Builds regressions datasets instances.

Author:

Andrea "Stock" Stocchero

Method Summary

Modifier and Type	Method	Description
static RegressionDataset	build(RegressionDataset dataset)	Creates new regression dataset cloning the passed dataset. The options and the data are NOT cloned.
RegressionDataset	buildExponentialRegression()	Creates a regression dataset, to add to a chart.
RegressionDataset	buildLinearRegression()	Creates a regression dataset, to add to a chart.
RegressionDataset	buildPolynomialRegression()	Creates a regression dataset, to add to a chart. It uses the default degree, 2.
RegressionDataset	buildPolynomialRegression(int degree)	Creates a regression dataset, to add to a chart, using the passed maximum degree.
RegressionDataset	buildPowerRegression()	Creates a regression dataset, to add to a chart.
RegressionDataset	buildRobustPolynomialRegression()	Creates a regression dataset, to add to a chart. It uses the default degree, 2.
RegressionDataset	buildRobustPolynomialRegression(int degree)	Creates a regression dataset, to add to a chart, using the passed maximum degree.
RegressionDataset	buildTheilSenRegression()	Creates a regression dataset, to add to a chart.
static RegressionDatasetBuilder	create()	Creates new regression dataset builder, without any sample.
static RegressionDatasetBuilder	create(List<Double> x, List<Double> y)	Creates new regression dataset builder, using the passed data as samples.
RegressionDatasetBuilder	setHidden(boolean hidden)	Sets true if the dataset will be created in hidden status.
RegressionDatasetBuilder	setLoadData(boolean loadData)	Sets true if the samples will be loaded as dataset data.
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.
RegressionDatasetBuilder	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.
RegressionDatasetBuilder	setSamples(List<Double> x, List<Double> y)	Creates a simple linear regression, using the passed X and Y values.
RegressionDatasetBuilder	setSamples(HasDataPoints dataset)	Sets the samples by the passed dataset, DataPoint based, data as source.
RegressionDatasetBuilder	setSamples(HasTimeSeriesItems dataset)	Sets the samples by the passed time series dataset, TimeSeriesItem based, data as source.
RegressionDatasetBuilder	setSamplesByDataPoints(List<DataPoint> dataPoints)	Sets the samples by the passed DataPoints.
RegressionDatasetBuilder	setSamplesByDates(List<Date> x, List<Double> y)	Sets the samples by the passed X and Y values.
RegressionDatasetBuilder	setSamplesByTimeSeriesItems(List<TimeSeriesItem> items)	Sets the samples by 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 RegressionDatasetBuilder create()

Creates new regression dataset builder, without any sample.

Returns:

new regression dataset builder, without any sample

create

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

Creates new regression dataset 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 dataset builder

build

public static RegressionDataset build(RegressionDataset dataset)

Creates new regression dataset cloning the passed dataset.
The options and the data are NOT cloned.

Parameters:

dataset - dataset to clone.

Returns:

new regression dataset instance

setLoadData

public RegressionDatasetBuilder setLoadData(boolean loadData)

Sets true if the samples will be loaded as dataset data.

Parameters:

loadData - true if the samples will be loaded as dataset data

Returns:

new regression dataset builder

setHidden

public RegressionDatasetBuilder setHidden(boolean hidden)

Sets true if the dataset will be created in hidden status.

Parameters:

hidden - true if the dataset will be created in hidden status

Returns:

new regression dataset builder

setSamples

public RegressionDatasetBuilder 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

setSamples

public RegressionDatasetBuilder setSamples(HasDataPoints dataset)

Sets the samples by the passed dataset, DataPoint based, data as source.

Parameters:

dataset - dataset instance to use getting data as source

Returns:

new regression dataset builder

setSamplesByDataPoints

public RegressionDatasetBuilder setSamplesByDataPoints(List<DataPoint> dataPoints)

Sets the samples by the passed DataPoints.

Parameters:

dataPoints - data points list to use for creating the regression

Returns:

new regression dataset builder

setSamples

public RegressionDatasetBuilder setSamples(HasTimeSeriesItems dataset)

Sets the samples by the passed time series dataset, TimeSeriesItem based, data as source.

Parameters:

dataset - dataset instance to use getting data as source

Returns:

new regression dataset builder

setSamplesByTimeSeriesItems

public RegressionDatasetBuilder setSamplesByTimeSeriesItems(List<TimeSeriesItem> items)

Sets the samples by the passed TimeSeriesItems.

Parameters:

items - time series items list to use for creating the regression

Returns:

new regression dataset builder

setSamples

public RegressionDatasetBuilder 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

setSamplesByDates

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

Sets the samples by 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:

new regression dataset builder

buildLinearRegression

public RegressionDataset buildLinearRegression()

Creates a regression dataset, to add to a chart.

Returns:

regression dataset to add to a chart

buildPolynomialRegression

public RegressionDataset buildPolynomialRegression()

Creates a regression dataset, to add to a chart.
It uses the default degree, 2.

Returns:

regression dataset to add to a chart

buildPolynomialRegression

public RegressionDataset buildPolynomialRegression(int degree)

Creates a regression dataset, to add to a chart, using the passed maximum degree.

Parameters:

degree - the maximum degree of the polynomial

Returns:

regression dataset to add to a chart

buildPowerRegression

public RegressionDataset buildPowerRegression()

Creates a regression dataset, to add to a chart.

Returns:

regression dataset to add to a chart

buildExponentialRegression

public RegressionDataset buildExponentialRegression()

Creates a regression dataset, to add to a chart.

Returns:

regression dataset to add to a chart

buildTheilSenRegression

public RegressionDataset buildTheilSenRegression()

Creates a regression dataset, to add to a chart.

Returns:

regression dataset to add to a chart

buildRobustPolynomialRegression

public RegressionDataset buildRobustPolynomialRegression()

Creates a regression dataset, to add to a chart.
It uses the default degree, 2.

Returns:

regression dataset to add to a chart

buildRobustPolynomialRegression

public RegressionDataset buildRobustPolynomialRegression(int degree)

Creates a regression dataset, to add to a chart, using the passed maximum degree.

Parameters:

degree - the maximum degree of the robust polynomial

Returns:

regression dataset to add to a chart

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