Examples of addTrainingSample()

Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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);
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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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);
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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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);
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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    s1.addTrainingSample(null);   
    s1 = new TrainingStack(1);
    s1.addTrainingSample(rawData);   
    expectedData.remove(0);
    s1 = new TrainingStack(I_4);
    s1.addTrainingSample(rawData);
  }

  /**
   * Test method for {@link com.neuralnetwork
   * .shared.training.TrainingStack#popSample()}.
 
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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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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Examples of com.neuralnetwork.shared.training.TrainingStack.addTrainingSample()

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    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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