/// <summary>
/// Thực hiện đọc file MetaData để lấy thông tin
/// </summary>
/// <param name="metaFile">Đường dẫn file</param>
public void parseMetaFile(string metaFile)
{
FileParsers parser = new FileParsers(metaFile, METAFILE);
String targetName = parser.getAttributeName(0);
String[] targetValues;
int numTargetValues;
targetValues = parser.extractTargetAttributeValue(0);
//// Build the target attribute and add it to the attributes vector.
Attribute targetAttribute = new Attribute(targetName, targetValues, 1);
numTargetValues = targetValues.Length;
Attributes.Add(targetAttribute);
List <Attribute> list = parser.extractAttributeFeatures();
for (int i = 0; i < list.Count; i++)
{
Attributes.Add((Attribute)list[i]);
}
}
/// <summary>
/// parse from data file path
/// </summary>
public void parseDataFile(string dataFile)
{
FileParsers parser = new FileParsers(dataFile, DATAFILE);
int numSample = parser.DataLines.Count;
String[] rawSample;
for (int i = 0; i < numSample - 1; i++)
{
rawSample = parser.extractDataSample(i);
int[] dataSample = new int[Attributes.Count];
try
{
// 2.a. Deal with all the attributes.
for (int j = 0; j < rawSample.Length; j++)
{
// There should be a 1-to-1 ordering between
// the internal attributes vector and the
// raw sample vector.
Attribute currAtt = (Attribute)Attributes.ElementAt(j);
int attPos = currAtt.getAttributeValuePosition((String)rawSample.ElementAt(j));
dataSample[j] = attPos;
if (j == 0)
{
TargetSums[attPos]++;
}
}
}
catch (Exception e)
{
}
TrainingSet.Add(dataSample);
}
}
/// <summary>
/// Thực hiện đọc file MetaData để lấy thông tin
/// </summary>
/// <param name="metaFile">Đường dẫn file</param>
public void parseMetaFile(string metaFile)
{
FileParsers parser = new FileParsers(metaFile, METAFILE);
String targetName = parser.getAttributeName(0);
String[] targetValues ;
int numTargetValues;
targetValues = parser.extractTargetAttributeValue(0);
//// Build the target attribute and add it to the attributes vector.
Attribute targetAttribute = new Attribute(targetName, targetValues, 1);
numTargetValues = targetValues.Length;
Attributes.Add(targetAttribute);
List<Attribute> list = parser.extractAttributeFeatures();
for (int i = 0; i < list.Count; i++)
{
Attributes.Add((Attribute)list[i]);
}
}
/// <summary>
/// parse from data file path
/// </summary>
public void parseDataFile(string dataFile)
{
FileParsers parser = new FileParsers(dataFile, DATAFILE);
int numSample = parser.DataLines.Count;
String[] rawSample;
for (int i = 0; i < numSample -1; i++)
{
rawSample = parser.extractDataSample(i);
int[] dataSample = new int[Attributes.Count];
try
{
// 2.a. Deal with all the attributes.
for (int j = 0; j < rawSample.Length; j++)
{
// There should be a 1-to-1 ordering between
// the internal attributes vector and the
// raw sample vector.
Attribute currAtt = (Attribute)Attributes.ElementAt(j);
int attPos = currAtt.getAttributeValuePosition((String)rawSample.ElementAt(j));
dataSample[j] = attPos;
if (j == 0) TargetSums[attPos]++;
}
}
catch (Exception e)
{
}
TrainingSet.Add(dataSample);
}
}
