public IActionResult Default()
{
//Dataset to use for predictions
var dataFilePath = FileHelper.TestDataPath;
// Create MLContext
MLContext mlContext = new MLContext();
// Load dataset
IDataView dataView = mlContext.Data.LoadFromTextFile <ModelInput>(
path: dataFilePath,
hasHeader: true,
separatorChar: ',',
allowQuoting: true,
allowSparse: false
);
// Use first line of dataset as model input
// You can replace this with new test data (hardcoded or from end-user application)
/*List<ModelInput> sampleForPredictions = mlContext.Data.CreateEnumerable<ModelInput>(dataView, false).Where(x => x.Class == true).Take(5).ToList();
*
* var random = new Random();
* var index = random.Next(sampleForPredictions.Count - 1);
*
* ModelInput sampleData = sampleForPredictions[index];*/
IEnumerable <ModelInput> input = mlContext.Data.CreateEnumerable <ModelInput>(dataView, false);
var viewModel = new TestDataViewModel()
{
TransactionList = input.Where(x => x.Class == true && x.Amount > 1).Take(5).ToList(),
ValidList = input.Where(x => x.Class == false && x.Amount > 1).Take(5).ToList()
};
viewModel.TransactionList.AddRange(viewModel.ValidList);
viewModel.TransactionList = viewModel.TransactionList.OrderBy(x => x.Amount).ToList();
return(View(viewModel));
}
public ActionResult GetTestData(int taskId)
{
var dbModel = _tournamentManager.TasksTestData
.Where(x => x.TaskId == taskId)
.ToList();
var viewModel = new List <TestDataViewModel>();
dbModel.ForEach(x =>
{
var model = new TestDataViewModel
{
Id = x.Id,
TaskId = x.TaskId,
InputData = x.InputData,
OutputData = x.OutputData
};
viewModel.Add(model);
});
return(PartialView("~/Areas/Admin/Views/Shared/TestDataView.cshtml", viewModel));
}
public IActionResult Default()
{
var viewModel = new TestDataViewModel();
return(View(viewModel));
}
