| public GetRecord ( long index, IMLDataPair pair ) : void | ||
| index | long | The zero-based index. Specify 0 for the first record, 1 for /// the second, and so on. |
| pair | IMLDataPair | The data to read. |
| return | void | |
/// <summary>
/// Move to the next element.
/// </summary>
/// <returns>True if there are more elements to read.</returns>
public bool MoveNext()
{
try
{
if (_current >= _data.Count)
{
return(false);
}
_currentRecord = BasicMLDataPair.CreatePair(_data
.InputSize, _data.IdealSize);
_data.GetRecord(_current++, _currentRecord);
return(true);
}
catch (EndOfStreamException)
{
return(false);
}
}
/// <summary>
/// Evaluate disk.
/// </summary>
private void EvalBinary()
{
FileInfo file = FileUtil.CombinePath( new FileInfo(Path.GetTempPath()), "temp.egb" );
BasicMLDataSet training = RandomTrainingFactory.Generate(
1000, 10000, 10, 10, -1, 1);
// create the binary file
if (file.Exists)
{
file.Delete();
}
var training2 = new BufferedMLDataSet(file.ToString());
training2.Load(training);
const long stop = (10*Evaluate.Milis);
int record = 0;
IMLDataPair pair = BasicMLDataPair.CreatePair(10, 10);
var 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;
_report.Report(Steps, Step3,
"Disk(binary) dataset, result: "
+ Format.FormatInteger(iterations));
if (file.Exists)
{
file.Delete();
}
_binaryScore = iterations;
}
