From 080d33b17c2d91e1494c8cccb6140f8e9d99798d Mon Sep 17 00:00:00 2001 From: Yang Date: Thu, 11 Jan 2024 12:51:14 +0100 Subject: [PATCH] revise notebooks based on review --- tutorials/kernelshap_tabular_penguin.ipynb | 11 ++++------- tutorials/kernelshap_tabular_weather.ipynb | 11 ++++------- tutorials/lime_tabular_penguin.ipynb | 1 - tutorials/lime_tabular_weather.ipynb | 1 - 4 files changed, 8 insertions(+), 16 deletions(-) diff --git a/tutorials/kernelshap_tabular_penguin.ipynb b/tutorials/kernelshap_tabular_penguin.ipynb index 24b93ceb..ffcc5ab7 100644 --- a/tutorials/kernelshap_tabular_penguin.ipynb +++ b/tutorials/kernelshap_tabular_penguin.ipynb @@ -7,14 +7,14 @@ "\"Logo_ER10\"\n", "\n", "### Model Interpretation using KernelSHAP for penguin dataset classifier\n", - "This notebook demonstrates the use of DIANNA with the SHAP Kernel explainer tabular method on the penguins dataset." + "This notebook demonstrates the use of DIANNA with the SHAP Kernel explainer method for tabular data on the penguins dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Colab setup" + "### Colab setup" ] }, { @@ -337,7 +337,6 @@ "\n", " onnx_input = {input_name: data.astype(np.float32)}\n", " pred_onnx = sess.run([output_name], onnx_input)[0]\n", - " pred_onnx\n", " \n", " return pred_onnx" ] @@ -363,8 +362,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/yangliu/venv/dianna/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n", "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n" ] } @@ -380,7 +377,7 @@ "metadata": {}, "source": [ "#### 4. Visualization\n", - "(TODO:) The output can be visualized with the DIANNA built-in visualization function. It shows the importance of each feature contributing to the prediction.\n", + "The output can be visualized with the DIANNA built-in visualization function. It shows the importance of each feature contributing to the prediction.\n", "\n", "The prediction is \"Gentoo\", so let's visualize the feature importance scores for \"Gentoo\".\n", "\n", @@ -389,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { diff --git a/tutorials/kernelshap_tabular_weather.ipynb b/tutorials/kernelshap_tabular_weather.ipynb index 9920703b..a239ee38 100644 --- a/tutorials/kernelshap_tabular_weather.ipynb +++ b/tutorials/kernelshap_tabular_weather.ipynb @@ -7,7 +7,7 @@ "\"Logo_ER10\"\n", "\n", "### Model Interpretation using KernelSHAP for weather prediction regressor\n", - "This notebook demonstrates the use of DIANNA with the SHAP Kernel explainer tabular method on the weather dataset.\n", + "This notebook demonstrates the use of DIANNA with the SHAP Kernel explainer method for tabular data on the weather dataset.\n", "\n", "https://shap.readthedocs.io/en/latest/example_notebooks/tabular_examples/model_agnostic/Diabetes%20regression.html" ] @@ -16,7 +16,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Colab setup" + "### Colab setup" ] }, { @@ -190,7 +190,6 @@ "\n", " onnx_input = {input_name: data.astype(np.float32)}\n", " pred_onnx = sess.run([output_name], onnx_input)[0]\n", - " pred_onnx\n", " \n", " return pred_onnx" ] @@ -216,8 +215,6 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/yangliu/venv/dianna/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n", "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n" ] } @@ -233,7 +230,7 @@ "metadata": {}, "source": [ "#### 4. Visualization\n", - "(TODO:) The output can be visualized with the DIANNA built-in visualization function. It shows the top 10 importance of each feature contributing to the prediction." + "The output can be visualized with the DIANNA built-in visualization function. It shows the top 10 importance of each feature contributing to the prediction." ] }, { @@ -243,7 +240,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] diff --git a/tutorials/lime_tabular_penguin.ipynb b/tutorials/lime_tabular_penguin.ipynb index f95730d6..09d4af1d 100644 --- a/tutorials/lime_tabular_penguin.ipynb +++ b/tutorials/lime_tabular_penguin.ipynb @@ -334,7 +334,6 @@ "\n", " onnx_input = {input_name: data.astype(np.float32)}\n", " pred_onnx = sess.run([output_name], onnx_input)[0]\n", - " pred_onnx\n", " \n", " return pred_onnx" ] diff --git a/tutorials/lime_tabular_weather.ipynb b/tutorials/lime_tabular_weather.ipynb index b7da342f..57f2a320 100644 --- a/tutorials/lime_tabular_weather.ipynb +++ b/tutorials/lime_tabular_weather.ipynb @@ -185,7 +185,6 @@ "\n", " onnx_input = {input_name: data.astype(np.float32)}\n", " pred_onnx = sess.run([output_name], onnx_input)[0]\n", - " pred_onnx\n", " \n", " return pred_onnx" ]