static void Main(string[] args)
{
string assetsPath = GetAbsolutePath(@"../../../assets");
string trainOutput = GetAbsolutePath(@"../../../../CreditCardFraudDetection.Trainer\assets\output");
CopyModelAndDatasetFromTrainingProject(trainOutput, assetsPath);
var inputDatasetForPredictions = Path.Combine(assetsPath, "input", "testData.csv");
var modelFilePath = Path.Combine(assetsPath, "input", "fastTree.zip");
// Create model predictor to perform a few predictions
var modelPredictor = new Predictor(modelFilePath, inputDatasetForPredictions);
modelPredictor.RunMultiplePredictions(numberOfPredictions: 5);
Console.WriteLine("=============== Press any key ===============");
Console.ReadKey();
}
static void Main(string[] args)
{
string assetsPath = GetAbsolutePath(@"../../../assets");
string trainOutput = GetAbsolutePath(@"../../../../CreditCardFraudDetection.Trainer/assets/output");
var inputDatasetForPredictions = Path.Combine(assetsPath, "input", "testData.csv");
var modelFilePath = Path.Combine(assetsPath, "input", "randomizedPca.zip");
//Always copy the trained model from the trainer project just in case there's a new version trained.
CopyModelAndDatasetFromTrainingProject(trainOutput, assetsPath);
// Create model predictor to perform a few predictions
var modelPredictor = new Predictor(modelFilePath, inputDatasetForPredictions);
modelPredictor.RunMultiplePredictions(numberOfPredictions: 5);
Console.WriteLine("=============== Press any key ===============");
Console.ReadKey();
}
static void Main(string[] args)
{
var assetsPath = ConsoleHelpers.GetAssetsPath(@"..\..\..\assets");
var trainOutput = ConsoleHelpers.GetAssetsPath(@"..\..\..\..\CreditCardFraudDetection.Trainer\assets\output");
if (!File.Exists(Path.Combine(trainOutput, "testData.csv")) ||
!File.Exists(Path.Combine(trainOutput, "fastTree.zip")))
{
ConsoleHelpers.ConsoleWriteWarning("YOU SHOULD RUN TRAIN PROJECT FIRST");
ConsoleHelpers.ConsolePressAnyKey();
return;
}
// copy files from train output
Directory.CreateDirectory(assetsPath);
foreach (var file in Directory.GetFiles(trainOutput))
{
var fileDestination = Path.Combine(Path.Combine(assetsPath, "input"), Path.GetFileName(file));
if (File.Exists(fileDestination))
{
ConsoleHelpers.DeleteAssets(fileDestination);
}
File.Copy(file, Path.Combine(Path.Combine(assetsPath, "input"), Path.GetFileName(file)));
}
var dataSetFile = Path.Combine(assetsPath, "input", "testData.csv");
var modelFile = Path.Combine(assetsPath, "input", "fastTree.zip");
var modelEvaluator = new Predictor(modelFile, dataSetFile);
int numberOfTransactions = 5;
modelEvaluator.RunMultiplePredictions(numberOfTransactions);
ConsoleHelpers.ConsolePressAnyKey();
}