feat: add simple performance indicators

Author: pferreirafabricio

ClassicMachineLearning/PredictIfHouseIsExpensive/Program.cs

@@ -1,7 +1,11 @@
 using System;
+using System.Diagnostics;
 using Microsoft.ML;
 using Microsoft.ML.Data;
 
+var sw = new Stopwatch();
+sw.Start();
+
 MLContext mlContext = new MLContext();
 
 HouseData[] houseData =
@@ -40,10 +44,13 @@
     .CreatePredictionEngine<HouseData, Prediction>(model)
     .Predict(validationData);
 
+sw.Stop();
+
 var size = (validationData.Size * 1000) / 10.76;
 var price = (validationData.Price * 100_000) * 5;
 
 Console.WriteLine($"Predicted price for size: {size:F2}m2 and price: {price:C2}. Is expensive? {result.IsExpensive}");
+Console.WriteLine("Elapsed={0}", sw.Elapsed);
 
 public class HouseData
 {

QuantumMachineLearning/PredictIfHouseIsExpensive/Host/Program.cs

@@ -2,8 +2,12 @@
 using Microsoft.Quantum.Simulation.Simulators;
 using PredictIfHouseIsExpensive;
 using PredictIfHouseIsExpensive.Quantum;
+using System.Diagnostics;
 using System.Linq;
 
+var sw = new Stopwatch();
+sw.Start();
+
 HouseData[] houseData =
 {
     new HouseData() { Size = 1.1F, Price = 1.2F, IsExpensive = false },
@@ -80,11 +84,15 @@
         numberOfMeasurements: numberOfMeasurements
     );
 
+sw.Stop();
+
 foreach (var result in results)
 {
     Console.WriteLine($"Result: {result:F5}.");
 }
 
+Console.WriteLine("Elapsed={0}", sw.Elapsed);
+
 public class HouseData
 {
     public bool IsExpensive { get; set; }