Package com.neuralnetwork.shared.training

Examples of com.neuralnetwork.shared.training.TrainingStack

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   * .shared.training.TrainingStack
   * #TrainingStack()}.
   */
  @Test
  public final void testTrainingStack() {
    TrainingStack s = new TrainingStack(1);
    assertNotNull(s);
    assertNotNull(s.getData());
  }
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    expectedData.add(D_0_03);
    expectedData.add(D_0_03);
    expectedData.add(D_0_03);
    expectedData.add(D_0_03);
    expectedData.add(D_0_03);
    TrainingStack s = new TrainingStack(I_4);
    s.addTrainingSample(rawData);
    TrainingStack s1 = new TrainingStack(1);
    s1.addTrainingSample(rawData);
    s1 = new TrainingStack(1);
    s1.addTrainingSample(null);   
    s1 = new TrainingStack(1);
    s1.addTrainingSample(null);   
    s1 = new TrainingStack(1);
    s1.addTrainingSample(rawData);   
    expectedData.remove(0);
    s1 = new TrainingStack(I_4);
    s1.addTrainingSample(rawData);
  }
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    expectedData.add(D_0_03);
    expectedData.add(D_0_03);
    Pair<Vector<Double>, Vector<Double>> p =
        new Pair<Vector<Double>,
        Vector<Double>>(rawData, expectedData);
    TrainingStack s = new TrainingStack(I_4);
    s.addTrainingSample(rawData);
   
    assertEquals(s.popSample(), p);
    assertTrue(s.getData().isEmpty());
  }
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    expectedData.add(D_0_03);
    expectedData.add(D_0_03);
    Pair<Vector<Double>, Vector<Double>> p =
        new Pair<Vector<Double>,
        Vector<Double>>(rawData, expectedData);
    TrainingStack s = new TrainingStack(I_4);
    s.addTrainingSample(rawData);
   
    assertEquals(s.peekSample(), p);
  }
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    Vector<Double> rawData = new Vector<Double>();
    rawData.add(D_0_01);
    rawData.add(D_0_01);
    rawData.add(D_0_01);
    rawData.add(D_0_01);
    TrainingStack s = new TrainingStack(I_4);
    s.addTrainingSample(rawData);
   
    assertEquals(s.getData().size(), 1);
    assertEquals(s.getNumFeatures(), I_4);
  }
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Related Classes of com.neuralnetwork.shared.training.TrainingStack

  • com.neuralnetwork.shared.tests.training.TrainingStackTest
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