public static void Execute()
{
Print.Header("Plot Regression Chart");
if (!Validate.DataIsLoaded() || !Validate.ModelIsTrained())
{
return;
}
var predictions = SalaryPredictionService.GetPrediction(Program.TrainedModel, Program.Data.Take(100)).ToList();
const string fileName = "chart.png";
Plot.RegressionChart(predictions, fileName);
Plot.ShowImage(fileName);
}
public static void Execute()
{
Print.Header("Train Model");
if (!Validate.DataIsLoaded())
{
return;
}
SplitData(Program.Data, out var trainingData, out var validationData);
IEnumerable <string> previewData = null;
Program.TrainedModel = ConsoleSpinner.Execute("Training", () => SalaryPredictionService.Train(trainingData, out previewData));
Print.PreviewTransformedData(previewData);
var metrics = ConsoleSpinner.Execute("Evaluating", () => SalaryPredictionService.Evaluate(Program.TrainedModel, validationData));
Print.Metrics(metrics);
}
public static void Execute()
{
Print.Header("Get Salary Prediction");
if (!Validate.DataIsLoaded() || !Validate.ModelIsTrained())
{
return;
}
var age = ConsoleHelper.GetNumber("Enter Age of Employee:");
ConsoleHelper.WriteLine("Select ExperienceLevel of Employee", ConsoleColor.Cyan);
var experienceLevel = ConsoleHelper.PickOption(ExperienceLevel.Values);
var employee = new Employee(age, experienceLevel, 0);
Print.Employee(employee);
var prediction = SalaryPredictionService.GetPrediction(Program.TrainedModel, employee);
Print.PredictedSalary(prediction);
}