Uses of Interface
weka.classifiers.timeseries.TSForecaster

Packages that use TSForecaster

Package	Description
weka.classifiers.timeseries
weka.classifiers.timeseries.core
weka.classifiers.timeseries.eval
weka.classifiers.timeseries.eval.graph

Uses of TSForecaster in weka.classifiers.timeseries

Classes in weka.classifiers.timeseries that implement TSForecaster

Modifier and Type	Class and Description
class	AbstractForecaster Abstract base class implementing TSForecaster that concrete subclasses can extend.
class	WekaForecaster Class that implements time series forecasting using a Weka regression scheme.

Methods in weka.classifiers.timeseries that return TSForecaster

Modifier and Type	Method and Description
static TSForecaster	AbstractForecaster.makeCopy(TSForecaster model) Creates a deep copy of the given forecaster using serialization.

Methods in weka.classifiers.timeseries with parameters of type TSForecaster

Modifier and Type	Method and Description
static TSForecaster	AbstractForecaster.makeCopy(TSForecaster model) Creates a deep copy of the given forecaster using serialization.
void	AbstractForecaster.runForecaster(TSForecaster forecaster, String[] options) Run the supplied forecaster with the supplied options on the command line.
void	TSForecaster.runForecaster(TSForecaster forecaster, String[] options) Run the supplied forecaster with the supplied options on the command line.

Uses of TSForecaster in weka.classifiers.timeseries.core

Methods in weka.classifiers.timeseries.core with parameters of type TSForecaster

Modifier and Type	Method and Description
void	ErrorBasedConfidenceIntervalEstimator.calculateConfidenceOffsets(TSForecaster forecaster, weka.core.Instances insts, int numPrime, int numSteps, double confidenceLevel, PrintStream... progress) Computes confidence intervals using the supplied forecster and training data.
void	ErrorBasedConfidenceIntervalEstimator.calculateConfidenceOffsets(TSForecaster forecaster, weka.core.Instances insts, int numPrime, int artificialTimeStartValue, int numSteps, double confidenceLevel, PrintStream... progress) Computes confidence intervals using the supplied forecaster and training data.

Uses of TSForecaster in weka.classifiers.timeseries.eval

Methods in weka.classifiers.timeseries.eval with parameters of type TSForecaster

Modifier and Type	Method and Description
void	TSEvaluation.evaluateForecaster(TSForecaster forecaster, boolean buildModel, PrintStream... progress) Evaluate a forecaster on training and/or test data.
void	TSEvaluation.evaluateForecaster(TSForecaster forecaster, PrintStream... progress) Evaluate the supplied forecaster.
static void	TSEvaluation.evaluateForecaster(TSForecaster forecaster, String[] options) Evaluate the supplied forecaster using the supplied command-line options.
JPanel	TSEvaluation.graphFutureForecastOnTesting(GraphDriver driver, TSForecaster forecaster, List<String> targetNames) Graph historical and future forecasted values using a graph driver for the test.
JPanel	TSEvaluation.graphFutureForecastOnTraining(GraphDriver driver, TSForecaster forecaster, List<String> targetNames) Graph historical and future forecasted values using a graph driver for the training data.
JPanel	TSEvaluation.graphPredictionsForStepsOnTesting(GraphDriver driver, TSForecaster forecaster, String targetName, List<Integer> stepsToPlot, int instanceNumberOffset) Graph predicted values at the given step-ahead levels for a single target on the test data.
JPanel	TSEvaluation.graphPredictionsForStepsOnTraining(GraphDriver driver, TSForecaster forecaster, String targetName, List<Integer> stepsToPlot, int instanceNumberOffset) Graph predicted values at the given step-ahead levels for a single target on the training data.
JPanel	TSEvaluation.graphPredictionsForTargetsOnTesting(GraphDriver driver, TSForecaster forecaster, List<String> graphTargets, int graphStepNum, int primeWindowSize) Graph predicted values at the given step-ahead level for the supplied targets on the test data.
JPanel	TSEvaluation.graphPredictionsForTargetsOnTraining(GraphDriver driver, TSForecaster forecaster, List<String> graphTargets, int graphStepNum, int instanceNumberOffset) Graph predicted values at the given step-ahead level for the supplied targets on the training data.
String	TSEvaluation.printFutureTestForecast(TSForecaster forecaster) Print the target values from the test data followed by the future forecast from the end of the test data.
String	TSEvaluation.printFutureTrainingForecast(TSForecaster forecaster) Print the forecasted values (for all targets) beyond the end of the training data

Uses of TSForecaster in weka.classifiers.timeseries.eval.graph

Methods in weka.classifiers.timeseries.eval.graph with parameters of type TSForecaster

Modifier and Type	Method and Description
JPanel	JFreeChartDriver.getGraphPanelSteps(TSForecaster forecaster, List<ErrorModule> preds, String targetName, List<Integer> stepsToPlot, int instanceNumOffset, weka.core.Instances data) Return the graph encapsulated in a JPanel.
abstract JPanel	GraphDriver.getGraphPanelSteps(TSForecaster forecaster, List<ErrorModule> preds, String targetName, List<Integer> stepsToPlot, int instanceNumOffset, weka.core.Instances data) Return the graph encapsulated in a JPanel.
JPanel	JFreeChartDriver.getGraphPanelTargets(TSForecaster forecaster, ErrorModule preds, List<String> targetNames, int stepNumber, int instanceNumOffset, weka.core.Instances data) Return the graph encapsulated in a panel.
abstract JPanel	GraphDriver.getGraphPanelTargets(TSForecaster forecaster, ErrorModule preds, List<String> targetNames, int stepNumber, int instanceNumOffset, weka.core.Instances data) Return the graph encapsulated in a panel.
JPanel	JFreeChartDriver.getPanelFutureForecast(TSForecaster forecaster, List<List<weka.classifiers.evaluation.NumericPrediction>> preds, List<String> targetNames, weka.core.Instances history) Return the graph encapsulated in a JPanel
abstract JPanel	GraphDriver.getPanelFutureForecast(TSForecaster forecaster, List<List<weka.classifiers.evaluation.NumericPrediction>> preds, List<String> targetNames, weka.core.Instances history) Return the graph encapsulated in a JPanel