private static void Evaluate(string testFile, string modelFile)
{
var model = new TaxiFare.Model(modelFile, _context);
var metrics = model.Evaluate(testFile);
ConsoleHelper.PrintRegressionMetrics("foo", metrics);
}
private static void Train(string trainData, string modelFile)
{
var model = new TaxiFare.Model(_context);
model.Train(trainData);
model.Save(modelFile);
}
private static void PredictInteractive(string modelFile)
{
// TODO implement:
var model = new TaxiFare.Model(modelFile, _context);
var engine = model.CreatePredictionEngine();
foreach (Data.Example example in GetExamplesFromConsole())
{
var result = engine.Predict(example);
ConsoleHelper.PrintPrediction(result.Score.ToString());
}
}
private static void Predict(string testFile, string modelFile, string outputFile)
{
var model = new TaxiFare.Model(modelFile, _context);
model.Transform(testFile, outputFile);
}
