Removed last Span<T>.DangerousCreate call

Author: Sergio0694

NeuralNetwork.NET/SupervisedLearning/Data/BatchesCollection.cs

@@ -167,7 +167,7 @@ private BatchesCollection([NotNull] SamplesBatch[] batches)
         /// <exception cref="ArgumentOutOfRangeException">The dataset and result matrices have a different number of rows</exception>
         [NotNull]
         [CollectionAccess(CollectionAccessType.Read)]
-        public static BatchesCollection From((float[,] X, float[,] Y) dataset, int size)
+        public static unsafe BatchesCollection From((float[,] X, float[,] Y) dataset, int size)
         {
             // Local parameters
             if (size < 10) throw new ArgumentOutOfRangeException(nameof(size), "The batch size can't be smaller than 10");
@@ -183,21 +183,24 @@ public static BatchesCollection From((float[,] X, float[,] Y) dataset, int size)
                 nBatchMod = samples % size;
             bool oddBatchPresent = nBatchMod > 0;
             SamplesBatch[] batches = new SamplesBatch[nBatches + (oddBatchPresent ? 1 : 0)];
-            for (int i = 0; i < batches.Length; i++)
+            fixed (float* px = dataset.X, py = dataset.Y)
             {
-                if (oddBatchPresent && i == batches.Length - 1)
+                for (int i = 0; i < batches.Length; i++)
                 {
-                    batches[i] = SamplesBatch.From(
-                        Span<float>.DangerousCreate(dataset.X, ref dataset.X[i * size, 0], nBatchMod * wx),
-                        Span<float>.DangerousCreate(dataset.Y, ref dataset.Y[i * size, 0], nBatchMod * wy),
-                        wx, wy);
-                }
-                else
-                {
-                    batches[i] = SamplesBatch.From(
-                        Span<float>.DangerousCreate(dataset.X, ref dataset.X[i * size, 0], size * wx),
-                        Span<float>.DangerousCreate(dataset.Y, ref dataset.Y[i * size, 0], size * wy),
-                        wx, wy);
+                    if (oddBatchPresent && i == batches.Length - 1)
+                    {
+                        batches[i] = SamplesBatch.From(
+                            new Span<float>(px + i * size * wx, nBatchMod * wx),
+                            new Span<float>(py + i * size * wy, nBatchMod * wy),
+                            wx, wy);
+                    }
+                    else
+                    {
+                        batches[i] = SamplesBatch.From(
+                            new Span<float>(px + i * size * wx, size * wx),
+                            new Span<float>(py + i * size * wy, size * wy),
+                            wx, wy);
+                    }
                 }
             }
             return new BatchesCollection(batches);