public static ConcurrentDictionary <SENSOR, List <OneClassFV> > LoadFeatureVectors(string path)
{
ConcurrentDictionary <SENSOR, List <OneClassFV> > featureVectors = new ConcurrentDictionary <SENSOR, List <OneClassFV> >();
if (!Directory.Exists(path + "/FeatureVectors"))
{
return(null);
}
foreach (SENSOR key in Enum.GetValues(typeof(SENSOR)))
{
string[] data = File.ReadAllLines(path + "/FeatureVectors/" + key.ToString() + ".txt");
List <OneClassFV> featureVector = new List <OneClassFV>();
for (int i = 1; i < data.Length; i++)
{
string[] firstSplit = data[i].Split(':');
int time = int.Parse(firstSplit[0]);
string[] secondSplit = firstSplit[1].Split(';');
List <double> values = new List <double>();
foreach (string s in secondSplit)
{
values.Add(double.Parse(s.Replace(',', '.'), System.Globalization.CultureInfo.InvariantCulture));
}
LibSVMsharp.SVMNode[] node = new LibSVMsharp.SVMNode[values.Count];
for (int j = 0; j < values.Count; j++)
{
node[j] = new LibSVMsharp.SVMNode(j + 1, values[j]);
}
featureVector.Add(new OneClassFV(node, time));
}
featureVectors.TryAdd(key, featureVector);
}
return(featureVectors);
}
public static ConcurrentDictionary<SENSOR, List<OneClassFV>> LoadFeatureVectors(string path)
{
ConcurrentDictionary<SENSOR, List<OneClassFV>> featureVectors = new ConcurrentDictionary<SENSOR, List<OneClassFV>>();
if (!Directory.Exists(path + "/FeatureVectors"))
{
return null;
}
foreach (SENSOR key in Enum.GetValues(typeof(SENSOR)))
{
string[] data = File.ReadAllLines(path + "/FeatureVectors/" + key.ToString() + ".txt");
List<OneClassFV> featureVector = new List<OneClassFV>();
for (int i = 1; i < data.Length; i++)
{
string[] firstSplit = data[i].Split(':');
int time = int.Parse(firstSplit[0]);
string[] secondSplit = firstSplit[1].Split(';');
List<double> values = new List<double>();
foreach (string s in secondSplit)
{
values.Add(double.Parse(s.Replace(',', '.'), System.Globalization.CultureInfo.InvariantCulture));
}
LibSVMsharp.SVMNode[] node = new LibSVMsharp.SVMNode[values.Count];
for(int j = 0; j < values.Count; j++)
{
node[j] = new LibSVMsharp.SVMNode(j + 1, values[j]);
}
featureVector.Add(new OneClassFV(node, time));
}
featureVectors.TryAdd(key, featureVector);
}
return featureVectors;
}
