Examples of BiPolarNeuralData

Examples of org.encog.ml.data.specific.BiPolarNeuralData

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   *            The input pattern.
   * @return The new current state.
   */
  @Override
  public MLData compute(final MLData input) {
    final BiPolarNeuralData result = new BiPolarNeuralData(input.size());
    EngineArray.arrayCopy(input.getData(), getCurrentState().getData());
    run();
    EngineArray.arrayCopy(getCurrentState().getData(), result.getData());
    return result;
  }
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Examples of org.encog.ml.data.specific.BiPolarNeuralData

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public class TestBiPolarNeuralData extends TestCase {
  public void testConstruct()
  {
    boolean[] d = { true, false };
    BiPolarNeuralData data = new BiPolarNeuralData(d);
    Assert.assertEquals("[T,F]",data.toString());
    Assert.assertEquals(1,data.getData(0),0.5);
    Assert.assertEquals(-1,data.getData(1),0.5);
    Assert.assertEquals(true, data.getBoolean(0));
    Assert.assertEquals(false, data.getBoolean(1));
    Assert.assertEquals(data.getData().length,2);
  }
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Examples of org.encog.ml.data.specific.BiPolarNeuralData

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  }
 
  public void testClone()
  {
    boolean[] d = { true, false };
    BiPolarNeuralData data2 = new BiPolarNeuralData(d);
    BiPolarNeuralData data = (BiPolarNeuralData)data2.clone();
    Assert.assertEquals("[T,F]",data.toString());
    Assert.assertEquals(1,data.getData(0),0.5);
    Assert.assertEquals(-1,data.getData(1),0.5);
    Assert.assertEquals(true, data.getBoolean(0));
    Assert.assertEquals(false, data.getBoolean(1));
    Assert.assertEquals(data.getData().length,2);
  }
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Examples of org.encog.ml.data.specific.BiPolarNeuralData

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    Assert.assertEquals(data.getData().length,2);
  }
 
  public void testError()
  {
    BiPolarNeuralData data = new BiPolarNeuralData(2);
    Assert.assertEquals(2, data.size());
   
    try
    {
      data.add(0, 0);
      Assert.assertTrue(false);
    }
    catch(Exception e)
    {
    }
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Examples of org.encog.ml.data.specific.BiPolarNeuralData

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  }
 
  public void testClear()
  {
    double[] d = {1,1};
    BiPolarNeuralData data = new BiPolarNeuralData(2);
    data.setData(d);
    data.clear();
    Assert.assertEquals(-1,data.getData(0),0.5);
    data.setData(0,true);
    Assert.assertEquals(true,data.getBoolean(0));
  }
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