/// <summary>
/// Close the dataset.
/// </summary>
public void Close()
{
Object[] obj = this.additional.ToArray();
for (int i = 0; i < obj.Length; i++)
{
BufferedNeuralDataSet set = (BufferedNeuralDataSet)obj[i];
set.Close();
}
this.additional.Clear();
if (this.owner != null)
{
this.owner.RemoveAdditional(this);
}
this.egb.Close();
this.egb = null;
}
/// <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;
}
