Ctrl+K D

Author: cbovar

Examples/Classify2DDemo/Program.cs

@@ -26,35 +26,35 @@ private static void Classify2DDemo()
             // Data
             var data = new List<double[]>();
             var labels = new List<int>();
-            data.Add(new[] {-0.4326, 1.1909});
+            data.Add(new[] { -0.4326, 1.1909 });
             labels.Add(1);
-            data.Add(new[] {3.0, 4.0});
+            data.Add(new[] { 3.0, 4.0 });
             labels.Add(1);
-            data.Add(new[] {0.1253, -0.0376});
+            data.Add(new[] { 0.1253, -0.0376 });
             labels.Add(1);
-            data.Add(new[] {0.2877, 0.3273});
+            data.Add(new[] { 0.2877, 0.3273 });
             labels.Add(1);
-            data.Add(new[] {-1.1465, 0.1746});
+            data.Add(new[] { -1.1465, 0.1746 });
             labels.Add(1);
-            data.Add(new[] {1.8133, 1.0139});
+            data.Add(new[] { 1.8133, 1.0139 });
             labels.Add(0);
-            data.Add(new[] {2.7258, 1.0668});
+            data.Add(new[] { 2.7258, 1.0668 });
             labels.Add(0);
-            data.Add(new[] {1.4117, 0.5593});
+            data.Add(new[] { 1.4117, 0.5593 });
             labels.Add(0);
-            data.Add(new[] {4.1832, 0.3044});
+            data.Add(new[] { 4.1832, 0.3044 });
             labels.Add(0);
-            data.Add(new[] {1.8636, 0.1677});
+            data.Add(new[] { 1.8636, 0.1677 });
             labels.Add(0);
-            data.Add(new[] {0.5, 3.2});
+            data.Add(new[] { 0.5, 3.2 });
             labels.Add(1);
-            data.Add(new[] {0.8, 3.2});
+            data.Add(new[] { 0.8, 3.2 });
             labels.Add(1);
-            data.Add(new[] {1.0, -2.2});
+            data.Add(new[] { 1.0, -2.2 });
             labels.Add(1);
             var n = labels.Count;
 
-            var trainer = new SgdTrainer<double>(net) {LearningRate = 0.01, L2Decay = 0, BatchSize = n};
+            var trainer = new SgdTrainer<double>(net) { LearningRate = 0.01, L2Decay = 0, BatchSize = n };
 
             // Training
             do