| public Load ( IMLDataSet training ) : void | ||
| training | IMLDataSet | The training set to load. |
| return | void | |
/// <summary>
/// Save the training set to an EGB file.
/// </summary>
/// <param name="egbFile">The EGB file to save to.</param>
/// <param name="data">The training data to save.</param>
public static void SaveEGB(FileInfo egbFile, IMLDataSet data)
{
var binary = new BufferedMLDataSet(egbFile.ToString());
binary.Load(data);
data.Close();
}
/// <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;
var watch = new Stopwatch();
watch.Start();
int iterations = 0;
while(true)
{
iterations++;
pair = training[record++];
if(record >= training.Count)
record = 0;
if((iterations & 0xff) == 0 && watch.ElapsedMilliseconds >= stop)
break;
}
training2.Close();
iterations /= 100000;
_report.Report(Steps, Step3,
"Disk(binary) dataset, result: "
+ Format.FormatInteger(iterations));
if (file.Exists)
{
file.Delete();
}
_binaryScore = iterations;
}
