private SmartphonePositions AnalyzeAccelerometerData(IEnumerable <ICoorinateContainer> coordinates)
{
if (coordinates == null || coordinates.Count() == 0)
{
return(SmartphonePositions.Not_Found);
}
return(KNearestNeighborsClassifier.GetInstance().DefineMove(coordinates));
}
public static string RunTest()
{
string res;
//var fn = @"train.csv";
//var f = File.ReadLines(fn);
//var data = from z in f.Skip(1)
// let zz = z.Split(',').Select(int.Parse)
// select new
// {
// Label = zz.First(),
// Image = zz.Skip(1).ToArray()
// };
//var classefier = new MuliclassSupportVectorLearning<Linear>();
//classefier.Learn(,)
//var testData = new TestDataFileReader().GetTestData()
// .OrderBy(a => Guid.NewGuid()).ToList(); // shuffle
//SensorsDataModel model = new SensorsDataModel();
//StringBuilder res = new StringBuilder();
//foreach (var test in testData)
//{
// SmartphonePositions position = model.AnalyzeAccelerometerData(test.AccelerometerDataRecords
// .Select(d => new AccelerometerDataRecord { X = d.X, Y = d.Y, Z = d.Z }).ToList());
// res.Append($"{test.SmartphonePosition} -> {position} </br>");
//}
var testDataReader = new TestDataFileReader();
var testDataPath = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "learning_data", "test", "sample.out");
var coordinates = testDataReader.ParseCoordinatesFromString(File.ReadAllText(testDataPath));
var move = KNearestNeighborsClassifier.GetInstance().DefineMove(coordinates);
res = move.ToString();
return(res);
}
