From 717ae97d40596336d3d539bd3e63f2272c16b862 Mon Sep 17 00:00:00 2001 From: Anirban Mukherjee Date: Wed, 6 Oct 2021 01:48:09 +0530 Subject: [PATCH] Update notebook.ipynb --- 7-TimeSeries/3-SVR/solution/notebook.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/7-TimeSeries/3-SVR/solution/notebook.ipynb b/7-TimeSeries/3-SVR/solution/notebook.ipynb index 1e0abbf3..bbdd7e5e 100644 --- a/7-TimeSeries/3-SVR/solution/notebook.ipynb +++ b/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",