private static TrainingResults LoadCompressed(string path)
{
log.Debug("LoadNormal: {0}", path);
TrainingHeader header = null;
Model model = null;
IArffDataSet dataSet = null;
using (ZipArchive archive = ZipFile.OpenRead(path))
{
foreach (ZipArchiveEntry entry in archive.Entries)
{
if (entry.FullName.EndsWith(headerFile, StringComparison.OrdinalIgnoreCase))
{
header = XDocument.Load(entry.Open()).XmlDeserialize <TrainingHeader>();
}
else if (entry.FullName.EndsWith(modelFile, StringComparison.OrdinalIgnoreCase))
{
model = Model.Read(entry.Open());
}
else if (entry.FullName.EndsWith(arffFile, StringComparison.OrdinalIgnoreCase))
{
using (StreamReader reader = new StreamReader(entry.Open()))
{
dataSet = ArffDataSet.LoadSimple(reader);
}
}
}
}
return(new TrainingResults(model, header, dataSet));
}
public TrainingResults(Model model, TrainingHeader header, IArffDataSet dataSet)
{
Guard.NotNull(() => model, model);
Guard.NotNull(() => header, header);
Guard.NotNull(() => dataSet, dataSet);
Model = model;
Header = header;
DataSet = dataSet;
}
public static TrainingHeader Create(KernelType type, SvmType svmType)
{
TrainingHeader header = new TrainingHeader();
header.GridSelection = true;
header.Normalization = NormalizationType.None;
header.Kernel = type;
header.SvmType = svmType;
return(header);
}
public TrainingModel(TrainingHeader header)
{
Header = header;
}