private Dictionary <uint, FileTypes> GetClusterToMap(PredictionEngineBase <FileData, FileTypePrediction> predictionEngine)
{
var map = new Dictionary <uint, FileTypes>();
var fileTypes = Enum.GetValues(typeof(FileTypes)).Cast <FileTypes>();
foreach (var fileType in fileTypes)
{
var fileData = new FileData(fileType);
var prediction = predictionEngine.Predict(fileData);
map.Add(prediction.PredictedClusterId, fileType);
}
return(map);
}
private string GenerateOutcome(PredictionEngineBase <RawInput, Prediction> pe)
{
return(pe.Predict(new RawInput
{
Game = 0,
Quarterback = "Josh Allen",
Location = "Home",
NumberOfPointsScored = 17,
TopReceiver = "Robert Foster",
TopRunner = "Josh Allen",
NumberOfSacks = 0,
NumberOfDefensiveTurnovers = 0,
MinutesPossession = 0,
Outcome = "WHO KNOWS?"
}).Outcome);
}
public void TestModel(string quarterback, string location, float numberOfPointsScored,
string topReceiver, string topRunner, string expectedOutcome)
{
var outcome = predictor.Predict(new RawInput
{
Game = 0,
Quarterback = quarterback,
Location = location,
NumberOfPointsScored = numberOfPointsScored,
TopReceiver = topReceiver,
TopRunner = topRunner,
NumberOfSacks = 0,
NumberOfDefensiveTurnovers = 0,
MinutesPossession = 0,
Outcome = "WHO KNOWS?"
});
Assert.AreEqual(expectedOutcome, outcome.Outcome);
}
private static float GetPrediction(PredictionEngineBase <EmployeeDto, SalaryPrediction> predictionEngine, Employee employee)
{
return(predictionEngine.Predict(new EmployeeDto(employee)).Salary);
}