jar

nz.ac.waikato.cms.weka : timeseriesForecasting

Maven & Gradle

Oct 25, 2019

timeseriesForecasting · Provides a time series forecasting environment for Weka. Includes a wrapper for Weka regression schemes that automates the process of creating lagged variables and date-derived periodic variables and provides the ability to do closed-loop forecasting. New evaluation routines are provided by a special evaluation module and graphing of predictions/forecasts are provided via the JFreeChart library. Includes both command-line and GUI user interfaces. Sample time series data can be found in ${WEKA_HOME}/packages/timeseriesForecasting/sample-data.

Table Of Contents

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1.1.x
1.0.x

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  1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
  2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window timeseriesForecasting-1.0.27.jar file.
    Once you open a JAR file, all the java classes in the JAR file will be displayed.

weka.filters.supervised.attribute

├─ weka.filters.supervised.attribute.TSLagMaker.class - [JAR]

weka.classifiers.timeseries

├─ weka.classifiers.timeseries.AbstractForecaster.class - [JAR]

├─ weka.classifiers.timeseries.HoltWinters.class - [JAR]

├─ weka.classifiers.timeseries.PrimingDataLearner.class - [JAR]

├─ weka.classifiers.timeseries.TSForecaster.class - [JAR]

├─ weka.classifiers.timeseries.WekaForecaster.class - [JAR]

weka.knowledgeflow.steps

├─ weka.knowledgeflow.steps.TimeSeriesForecasting.class - [JAR]

weka.gui.knowledgeflow

├─ weka.gui.knowledgeflow.TimeSeriesPerspective.class - [JAR]

weka.classifiers.timeseries.gui

├─ weka.classifiers.timeseries.gui.AdvancedConfigPanel.class - [JAR]

├─ weka.classifiers.timeseries.gui.CustomPeriodicEditor.class - [JAR]

├─ weka.classifiers.timeseries.gui.CustomPeriodicTestEditor.class - [JAR]

├─ weka.classifiers.timeseries.gui.ForecastingPanel.class - [JAR]

├─ weka.classifiers.timeseries.gui.SimpleConfigPanel.class - [JAR]

weka.classifiers.timeseries.eval.graph

├─ weka.classifiers.timeseries.eval.graph.GraphDriver.class - [JAR]

├─ weka.classifiers.timeseries.eval.graph.JFreeChartDriver.class - [JAR]

weka.classifiers.timeseries.core

├─ weka.classifiers.timeseries.core.AbstractTimeSeriesFilter.class - [JAR]

├─ weka.classifiers.timeseries.core.BaseModelSerializer.class - [JAR]

├─ weka.classifiers.timeseries.core.ConfidenceIntervalForecaster.class - [JAR]

├─ weka.classifiers.timeseries.core.CustomPeriodicTest.class - [JAR]

├─ weka.classifiers.timeseries.core.ErrorBasedConfidenceIntervalEstimator.class - [JAR]

├─ weka.classifiers.timeseries.core.IncrementallyPrimeable.class - [JAR]

├─ weka.classifiers.timeseries.core.OverlayForecaster.class - [JAR]

├─ weka.classifiers.timeseries.core.StateDependentPredictor.class - [JAR]

├─ weka.classifiers.timeseries.core.TSLagUser.class - [JAR]

├─ weka.classifiers.timeseries.core.TimeSeriesTranslate.class - [JAR]

├─ weka.classifiers.timeseries.core.Utils.class - [JAR]

weka.classifiers.timeseries.gui.explorer

├─ weka.classifiers.timeseries.gui.explorer.ExplorerTSPanel.class - [JAR]

weka.gui.beans

├─ weka.gui.beans.TimeSeriesForecasting.class - [JAR]

├─ weka.gui.beans.TimeSeriesForecastingBeanInfo.class - [JAR]

├─ weka.gui.beans.TimeSeriesForecastingCustomizer.class - [JAR]

├─ weka.gui.beans.TimeSeriesForecastingKFPerspective.class - [JAR]

weka.gui.knowledgeflow.steps

├─ weka.gui.knowledgeflow.steps.TimeSeriesForecastingStepEditorDialog.class - [JAR]

weka.classifiers.timeseries.eval

├─ weka.classifiers.timeseries.eval.DACModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.ErrorModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.MAEModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.MAPEModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.MSEModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.RAEModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.RMSEModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.RRSEModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.TSEvalModule.class - [JAR]

├─ weka.classifiers.timeseries.eval.TSEvaluation.class - [JAR]