/// <summary>
/// Evaluate memory.
/// </summary>
private void EvalMemory()
{
BasicNeuralDataSet training = RandomTrainingFactory.Generate(
1000, 10000, 10, 10, -1, 1);
long stop = (10 * Evaluate.MILIS);
int record = 0;
INeuralDataPair pair = BasicNeuralDataPair.CreatePair(10, 10);
int iterations = 0;
Stopwatch watch = new Stopwatch();
watch.Start();
while (watch.ElapsedMilliseconds < stop)
{
iterations++;
training.GetRecord(record++, pair);
if (record >= training.Count)
{
record = 0;
}
}
iterations /= 100000;
this.report.Report(EncogBenchmark.STEPS, EncogBenchmark.STEP3,
"Memory dataset, result: " + Format.FormatInteger(iterations));
this.memoryScore = iterations;
}
/// <inheritdoc/>
public void Write(double[] input, double[] ideal)
{
INeuralDataPair pair = BasicNeuralDataPair.CreatePair(inputSize,
idealSize);
EngineArray.ArrayCopy(input, pair.Input.Data);
EngineArray.ArrayCopy(ideal, pair.Ideal.Data);
}
/// <summary>
/// Move to the next record.
/// </summary>
/// <returns>True, if we were able to move to the next record.</returns>
public bool MoveNext()
{
if (HasNext())
{
INeuralDataPair pair = BasicNeuralDataPair.CreatePair(
this.owner.InputSize, this.owner.IdealSize);
this.owner.GetRecord(this.currentIndex++, pair);
this.currentPair = pair;
return(true);
}
else
{
this.currentPair = null;
return(false);
}
}
/// <summary>
/// Evaluate disk.
/// </summary>
private void EvalBinary()
{
String file = "temp.egb";
BasicNeuralDataSet training = RandomTrainingFactory.Generate(
1000, 10000, 10, 10, -1, 1);
// create the binary file
File.Delete(file);
BufferedNeuralDataSet training2 = new BufferedNeuralDataSet(file);
training2.Load(training);
long stop = (10 * Evaluate.MILIS);
int record = 0;
INeuralDataPair pair = BasicNeuralDataPair.CreatePair(10, 10);
Stopwatch watch = new Stopwatch();
watch.Start();
int iterations = 0;
while (watch.ElapsedMilliseconds < stop)
{
iterations++;
training2.GetRecord(record++, pair);
if (record >= training2.Count)
{
record = 0;
}
}
training2.Close();
iterations /= 100000;
this.report.Report(EncogBenchmark.STEPS, EncogBenchmark.STEP4,
"Disk(binary) dataset, result: "
+ Format.FormatInteger(iterations));
File.Delete(file);
this.binaryScore = iterations;
}
/// <summary>
/// Move to the next element.
/// </summary>
/// <returns>True if there are more elements to read.</returns>
public bool MoveNext()
{
try
{
if (this.current >= data.Count)
{
return(false);
}
this.currentRecord = BasicNeuralDataPair.CreatePair(this.data
.InputSize, this.data.IdealSize);
this.data.GetRecord(this.current++, this.currentRecord);
return(true);
}
catch (EndOfStreamException)
{
return(false);
}
}