private static void TestMultiplePredictions(MLContext mlContext)
{
ITransformer trainedModel = mlContext.Model.Load(modelPath, out var modelInputSchema);
// Create prediction engine related to the loaded trained model
var predEngine = mlContext.Model.CreatePredictionEngine <EmployeeSalary, EmployeeSalaryPrediction>(trainedModel);
for (float i = 0; i < 15; i = i + 0.5f)
{
var taxiTripSample = new EmployeeSalary()
{
YearsExperience = i,
Salary = 0
};
var resultprediction = predEngine.Predict(taxiTripSample);
Console.WriteLine(resultprediction.Salary);
}
}
private static void TestSinglePrediction(MLContext mlContext, float yearsExperience)
{
var taxiTripSample = new EmployeeSalary()
{
YearsExperience = yearsExperience,
Salary = 0
};
ITransformer trainedModel = mlContext.Model.Load(modelPath, out var modelInputSchema);
// Create prediction engine related to the loaded trained model
var predEngine = mlContext.Model.CreatePredictionEngine <EmployeeSalary, EmployeeSalaryPrediction>(trainedModel);
//Score
var resultprediction = predEngine.Predict(taxiTripSample);
///
Console.WriteLine($"**********************************************************************");
Console.WriteLine($"Predicted salary: {resultprediction.Salary:0.####}");
Console.WriteLine($"**********************************************************************");
}