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java.lang.Objectorg.neuroph.samples.timeseries.GenerateTrainingSets
public class GenerateTrainingSets
Very simple class which just wraps up the generation of the time-series predicition training sets. You can alter this to generate differing data sets. I.e. different samplig rates (frequency) and differing sizes of memory. See http://neuroph.sourceforge.net/TimeSeriesPredictionTutorial.html
Constructor Summary | |
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GenerateTrainingSets()
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Method Summary | |
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static void |
main(java.lang.String[] args)
Generates datasets used in time series prediction tutorial |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public GenerateTrainingSets()
Method Detail |
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public static void main(java.lang.String[] args)
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