Package org.encog.util.arrayutil

Examples of org.encog.util.arrayutil.NormalizeArray.process()

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        NormalizeArray norm = new NormalizeArray();
        norm.setNormalizedHigh( hi);
        norm.setNormalizedLow( lo);

        // create arrays to hold the normalized sunspots
        normalizedSunspots = norm.process(SUNSPOTS);
        double[] test = norm.process(SUNSPOTS);
        closedLoopSunspots = EngineArray.arrayCopy(normalizedSunspots);

  }
 
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        norm.setNormalizedHigh( hi);
        norm.setNormalizedLow( lo);

        // create arrays to hold the normalized sunspots
        normalizedSunspots = norm.process(SUNSPOTS);
        double[] test = norm.process(SUNSPOTS);
        closedLoopSunspots = EngineArray.arrayCopy(normalizedSunspots);

  }
 
  public MLDataSet generateTraining() {
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        NormalizeArray norm = new NormalizeArray();
        norm.setNormalizedHigh( hi);
        norm.setNormalizedLow( lo);

        // create arrays to hold the normalized sunspots
        normalizedSunspots = norm.process(SUNSPOTS);
        double[] test = norm.process(SUNSPOTS);
        closedLoopSunspots = EngineArray.arrayCopy(normalizedSunspots);

  }
 
View Full Code Here
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        norm.setNormalizedHigh( hi);
        norm.setNormalizedLow( lo);

        // create arrays to hold the normalized sunspots
        normalizedSunspots = norm.process(SUNSPOTS);
        double[] test = norm.process(SUNSPOTS);
        closedLoopSunspots = EngineArray.arrayCopy(normalizedSunspots);

  }
 
  public MLDataSet generateTraining() {   
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    public void testNormalize()
    {
        NormalizeArray norm = new NormalizeArray();
        double[] input = { 1,5,10 };
        double[] output = norm.process(input);
        Assert.assertEquals(3, output.length);
        Assert.assertEquals(-1.0, output[0]);
        Assert.assertEquals(1.0, output[2]);
        Assert.assertEquals(1.0, norm.getStats().getActualLow());
        Assert.assertEquals(10.0, norm.getStats().getActualHigh());
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        NormalizeArray norm = new NormalizeArray();
        norm.setNormalizedHigh( hi);
        norm.setNormalizedLow( lo);

        // create arrays to hold the normalized sunspots
        normalizedSunspots = norm.process(SUNSPOTS);
        double[] test = norm.process(SUNSPOTS);
        closedLoopSunspots = EngineArray.arrayCopy(normalizedSunspots);

  }
View Full Code Here
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        norm.setNormalizedHigh( hi);
        norm.setNormalizedLow( lo);

        // create arrays to hold the normalized sunspots
        normalizedSunspots = norm.process(SUNSPOTS);
        double[] test = norm.process(SUNSPOTS);
        closedLoopSunspots = EngineArray.arrayCopy(normalizedSunspots);

  }

  public MLDataSet generateTraining() {
View Full Code Here
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        NormalizeArray norm = new NormalizeArray();
        norm.setNormalizedHigh( hi);
        norm.setNormalizedLow( lo);

        // create arrays to hold the normalized sunspots
        normalizedSunspots = norm.process(SUNSPOTS);
        closedLoopSunspots = EngineArray.arrayCopy(normalizedSunspots);

  }
 
  public MLDataSet generateTraining() {   
View Full Code Here
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    public void testNormalize()
    {
        NormalizeArray norm = new NormalizeArray();
        double[] input = { 1,5,10 };
        double[] output = norm.process(input);
        Assert.assertEquals(3, output.length);
        Assert.assertEquals(-1.0, output[0]);
        Assert.assertEquals(1.0, output[2]);
        Assert.assertEquals(1.0, norm.getStats().getActualLow());
        Assert.assertEquals(10.0, norm.getStats().getActualHigh());
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