Update notebook.ipynb

7-TimeSeries/3-SVR/solution/notebook.ipynb

@@ -543,7 +543,7 @@
     }
    ],
    "source": [
-    "# Converting data to 3D tensor\n",
+    "# Converting data to 2D tensor\n",
     "\n",
     "train_data_timesteps=np.array([[j for j in train_data[i:i+timesteps]] for i in range(0,len(train_data)-timesteps+1)])[:,:,0]\n",
     "train_data_timesteps.shape"
@@ -572,7 +572,7 @@
     }
    ],
    "source": [
-    "# Converting test data to 3D tensor\n",
+    "# Converting test data to 2D tensor\n",
     "\n",
     "test_data_timesteps=np.array([[j for j in test_data[i:i+timesteps]] for i in range(0,len(test_data)-timesteps+1)])[:,:,0]\n",
     "test_data_timesteps.shape"
@@ -918,7 +918,7 @@
     "# Scaling\n",
     "data = scaler.transform(data)\n",
     "\n",
-    "# Transforming to 3D tensor as per model input requirement\n",
+    "# Transforming to 2D tensor as per model input requirement\n",
     "data_timesteps=np.array([[j for j in data[i:i+timesteps]] for i in range(0,len(data)-timesteps+1)])[:,:,0]\n",
     "print(\"Tensor shape: \", data_timesteps.shape)\n",
     "\n",