Test Modules

Using Seed 7215925540977245184

Training Characteristics

Model Learning

In this apply, attempt to train a network to emulate a randomized network given an example input/output. The target state is:

TrainingTester.java:370 executed in 0.00 seconds (0.000 gc):

    RefList<double[]> temp_18_0042 = network_target.state();
    assert temp_18_0042 != null;
    String temp_18_0041 = temp_18_0042.stream().map(RefArrays::toString).reduce((a, b) -> a + "\n" + b).orElse("");
    temp_18_0042.freeRef();
    return temp_18_0041;

Returns

    [0.1]

Results

TrainingTester.java:255 executed in 0.03 seconds (0.000 gc):

    return grid(inputLearning, modelLearning, completeLearning);

Returns

TrainingTester.java:258 executed in 0.00 seconds (0.000 gc):

    return new ComponentResult(null == inputLearning ? null : inputLearning.value,
        null == modelLearning ? null : modelLearning.value, null == completeLearning ? null : completeLearning.value);

Returns

    {"input":null, "model":null, "complete":null}

LayerTests.java:425 executed in 0.00 seconds (0.000 gc):

    throwException(exceptions.addRef());

Results

details	result
{"input":null, "model":null, "complete":null}	OK

  {
    "result": "OK",
    "performance": {
      "execution_time": "0.169",
      "gc_time": "0.109"
    },
    "created_on": 1586735181510,
    "file_name": "trainingTest",
    "report": {
      "simpleName": "Normal",
      "canonicalName": "com.simiacryptus.mindseye.layers.java.ValueLayerTest.Normal",
      "link": "https://github.com/SimiaCryptus/mindseye-java/tree/93db34cedee48c0202777a2b25deddf1dfaf5731/src/test/java/com/simiacryptus/mindseye/layers/java/ValueLayerTest.java",
      "javaDoc": ""
    },
    "training_analysis": {},
    "archive": "s3://code.simiacrypt.us/tests/com/simiacryptus/mindseye/layers/ValueLayer/Normal/trainingTest/202004124621",
    "id": "31a4058f-4e49-4411-9152-1e5ade5316c4",
    "report_type": "Components",
    "display_name": "Comparative Training",
    "target": {
      "simpleName": "ValueLayer",
      "canonicalName": "com.simiacryptus.mindseye.layers.ValueLayer",
      "link": "https://github.com/SimiaCryptus/mindseye-core/tree/a09d39d97a7eff18f17aef61a4891b6f93a18cbe/src/main/java/com/simiacryptus/mindseye/layers/ValueLayer.java",
      "javaDoc": ""
    }
  }