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## org.neuroph.samples.timeseries
Class GenerateTrainingSets

    java.lang.Object
      org.neuroph.samples.timeseries.GenerateTrainingSets

    public class GenerateTrainingSets

extends java.lang.Object

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
`GenerateTrainingSets()`

Method Summary
`static void` | `main(java.lang.String[] args)` Generates datasets used in time series prediction tutorial

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### GenerateTrainingSets

    public GenerateTrainingSets()

Method Detail

### main

    public static void main(java.lang.String[] args)

  Generates datasets used in time series prediction tutorial

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