From b1bd89bddb89ec6c758e3a736964b0ed670063ed Mon Sep 17 00:00:00 2001 From: zyteka Date: Wed, 25 Jan 2023 14:15:02 -0500 Subject: [PATCH] Adding solution to interpretable feature lab --- .../Solution - Interpretable Features.ipynb | 970 ++++++++++++++++++ 1 file changed, 970 insertions(+) create mode 100644 interpretable_features/Solution - Interpretable Features.ipynb diff --git a/interpretable_features/Solution - Interpretable Features.ipynb b/interpretable_features/Solution - Interpretable Features.ipynb new file mode 100644 index 0000000..9fc1d82 --- /dev/null +++ b/interpretable_features/Solution - Interpretable Features.ipynb @@ -0,0 +1,970 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "45017587", + "metadata": {}, + "source": [ + "## Lab - Using Interpretable Features for Model Debugging\n", + "\n", + "In our lecture on interpretable features, you learned about the importance of using interpretable features for interpretable models. As we talked about, one of the benefits of interpretable machien learning is it makes it easier to identify the source of a problem with a deployed model.\n", + "\n", + "In this lab, we'll be working with a modified version of the [Ames Housing Dataset](https://www.kaggle.com/c/house-prices-advanced-regression-techniques). In this dataset, each row represents a single house in Ames Iowa, and our model is traiend to predict the final sale price of the house. \n", + "\n", + "In our hypothetical scenario, a real estate agent has deployed a model to help they set the initial sale price houses newly on the market. However, despite decent train and test scores during model training, the agent has found that the house predictions are terrible in the real world. They suspect something went wrong with the data, and want to use methods from *XAI* (explainable AI) to identify the problem.\n", + "\n", + "Your task will be to try to find the issue with the data. You will try transforming the data in different ways to train multiple models with different levels of *feature interpretability*. There are **two mistakes** intentionally added to the dataset. " + ] + }, + { + "cell_type": "markdown", + "id": "810f2158", + "metadata": {}, + "source": [ + "### Data Setup\n", + "\n", + "Run the cells below to install libraries, load in the (flawed) dataset, and take an initial look at the data" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2783eff8", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: lightgbm in /home/zyteka/dcai-env/lib/python3.8/site-packages (3.3.4)\n", + "Requirement already satisfied: wheel in /home/zyteka/dcai-env/lib/python3.8/site-packages (from lightgbm) (0.38.4)\n", + "Requirement already satisfied: scikit-learn!=0.22.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from lightgbm) (1.2.0)\n", + "Requirement already satisfied: scipy in /home/zyteka/dcai-env/lib/python3.8/site-packages (from lightgbm) (1.10.0)\n", + "Requirement already satisfied: numpy in /home/zyteka/dcai-env/lib/python3.8/site-packages (from lightgbm) (1.23.5)\n", + "Requirement already satisfied: joblib>=1.1.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn!=0.22.0->lightgbm) (1.2.0)\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn!=0.22.0->lightgbm) (3.1.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Requirement already satisfied: featuretools in /home/zyteka/dcai-env/lib/python3.8/site-packages (1.21.0)\n", + "Requirement already satisfied: numpy>=1.21.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (1.23.5)\n", + "Requirement already satisfied: distributed!=2022.10.1,>=2022.2.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (2023.1.0)\n", + "Requirement already satisfied: cloudpickle>=1.5.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (2.2.1)\n", + "Requirement already satisfied: pandas>=1.4.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (1.5.3)\n", + "Requirement already satisfied: dask[dataframe]!=2022.10.1,>=2022.2.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (2023.1.0)\n", + "Requirement already satisfied: packaging>=20.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (23.0)\n", + "Requirement already satisfied: holidays>=0.13 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (0.18)\n", + "Requirement already satisfied: psutil>=5.6.6 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (5.9.4)\n", + "Requirement already satisfied: woodwork[dask]>=0.18.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (0.21.2)\n", + "Requirement already satisfied: scipy>=1.4.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (1.10.0)\n", + "Requirement already satisfied: tqdm>=4.32.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from featuretools) (4.64.1)\n", + "Requirement already satisfied: sortedcontainers>=2.0.5 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (2.4.0)\n", + "Requirement already satisfied: jinja2>=2.10.3 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (3.1.2)\n", + "Requirement already satisfied: msgpack>=1.0.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (1.0.4)\n", + "Requirement already satisfied: toolz>=0.10.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (0.12.0)\n", + "Requirement already satisfied: tornado>=6.0.3 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (6.2)\n", + "Requirement already satisfied: zict>=2.1.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (2.2.0)\n", + "Requirement already satisfied: locket>=1.0.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (1.0.0)\n", + "Requirement already satisfied: urllib3>=1.24.3 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (1.26.14)\n", + "Requirement already satisfied: click>=7.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (8.1.3)\n", + "Requirement already satisfied: pyyaml>=5.3.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (6.0)\n", + "Requirement already satisfied: tblib>=1.6.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from distributed!=2022.10.1,>=2022.2.0->featuretools) (1.7.0)\n", + "Requirement already satisfied: pytz>=2020.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pandas>=1.4.0->featuretools) (2022.7.1)\n", + "Requirement already satisfied: python-dateutil>=2.8.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pandas>=1.4.0->featuretools) (2.8.2)\n", + "Requirement already satisfied: partd>=0.3.10 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from dask[dataframe]!=2022.10.1,>=2022.2.0->featuretools) (1.3.0)\n", + "Requirement already satisfied: fsspec>=0.6.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from dask[dataframe]!=2022.10.1,>=2022.2.0->featuretools) (2023.1.0)\n", + "Requirement already satisfied: korean-lunar-calendar in /home/zyteka/dcai-env/lib/python3.8/site-packages (from holidays>=0.13->featuretools) (0.3.1)\n", + "Requirement already satisfied: convertdate>=2.3.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from holidays>=0.13->featuretools) (2.4.0)\n", + "Requirement already satisfied: hijri-converter in /home/zyteka/dcai-env/lib/python3.8/site-packages (from holidays>=0.13->featuretools) (2.2.4)\n", + "Requirement already satisfied: PyMeeus in /home/zyteka/dcai-env/lib/python3.8/site-packages (from holidays>=0.13->featuretools) (0.5.12)\n", + "Requirement already satisfied: scikit-learn>=0.22 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from woodwork[dask]>=0.18.0->featuretools) (1.2.0)\n", + "Requirement already satisfied: importlib-resources>=5.10.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from woodwork[dask]>=0.18.0->featuretools) (5.10.2)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from jinja2>=2.10.3->distributed!=2022.10.1,>=2022.2.0->featuretools) (2.1.2)\n", + "Requirement already satisfied: heapdict in /home/zyteka/dcai-env/lib/python3.8/site-packages (from zict>=2.1.0->distributed!=2022.10.1,>=2022.2.0->featuretools) (1.0.1)\n", + "Requirement already satisfied: six>=1.5 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from python-dateutil>=2.8.1->pandas>=1.4.0->featuretools) (1.16.0)\n", + "Requirement already satisfied: joblib>=1.1.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn>=0.22->woodwork[dask]>=0.18.0->featuretools) (1.2.0)\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn>=0.22->woodwork[dask]>=0.18.0->featuretools) (3.1.0)\n", + "Requirement already satisfied: zipp>=3.1.0; python_version < \"3.10\" in /home/zyteka/dcai-env/lib/python3.8/site-packages (from importlib-resources>=5.10.0->woodwork[dask]>=0.18.0->featuretools) (3.11.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Requirement already satisfied: pyreal==0.3.1.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (0.3.1.1)\n", + "Requirement already satisfied: pandas<2.0.0,>=1.5.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (1.5.3)\n", + "Requirement already satisfied: numba<0.57.0,>=0.56.2 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (0.56.4)\n", + "Requirement already satisfied: lime<0.3.0.0,>=0.2.0.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (0.2.0.1)\n", + "Requirement already satisfied: seaborn<0.13.0,>=0.12.2 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (0.12.2)\n", + "Requirement already satisfied: numpy<2.0.0,>=1.23.3 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (1.23.5)\n", + "Requirement already satisfied: scikit-learn<2.0.0,>=1.1.2 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (1.2.0)\n", + "Collecting matplotlib<4.0.0,>=3.6.0\n", + " Using cached matplotlib-3.6.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.4 MB)\n", + "Requirement already satisfied: eli5<0.14,>=0.11 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (0.13.0)\n", + "Requirement already satisfied: shap<0.42.0,>=0.41.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pyreal==0.3.1.1) (0.41.0)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: python-dateutil>=2.8.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pandas<2.0.0,>=1.5.0->pyreal==0.3.1.1) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pandas<2.0.0,>=1.5.0->pyreal==0.3.1.1) (2022.7.1)\n", + "Requirement already satisfied: llvmlite<0.40,>=0.39.0dev0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from numba<0.57.0,>=0.56.2->pyreal==0.3.1.1) (0.39.1)\n", + "Requirement already satisfied: setuptools in /home/zyteka/dcai-env/lib/python3.8/site-packages (from numba<0.57.0,>=0.56.2->pyreal==0.3.1.1) (44.0.0)\n", + "Requirement already satisfied: importlib-metadata; python_version < \"3.9\" in /home/zyteka/dcai-env/lib/python3.8/site-packages (from numba<0.57.0,>=0.56.2->pyreal==0.3.1.1) (6.0.0)\n", + "Requirement already satisfied: scipy in /home/zyteka/dcai-env/lib/python3.8/site-packages (from lime<0.3.0.0,>=0.2.0.1->pyreal==0.3.1.1) (1.10.0)\n", + "Requirement already satisfied: scikit-image>=0.12 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from lime<0.3.0.0,>=0.2.0.1->pyreal==0.3.1.1) (0.19.3)\n", + "Requirement already satisfied: tqdm in /home/zyteka/dcai-env/lib/python3.8/site-packages (from lime<0.3.0.0,>=0.2.0.1->pyreal==0.3.1.1) (4.64.1)\n", + "Requirement already satisfied: joblib>=1.1.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn<2.0.0,>=1.1.2->pyreal==0.3.1.1) (1.2.0)\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn<2.0.0,>=1.1.2->pyreal==0.3.1.1) (3.1.0)\n", + "Requirement already satisfied: pyparsing>=2.2.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib<4.0.0,>=3.6.0->pyreal==0.3.1.1) (3.0.9)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib<4.0.0,>=3.6.0->pyreal==0.3.1.1) (1.0.7)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib<4.0.0,>=3.6.0->pyreal==0.3.1.1) (1.4.4)\n", + "Requirement already satisfied: pillow>=6.2.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib<4.0.0,>=3.6.0->pyreal==0.3.1.1) (9.4.0)\n", + "Requirement already satisfied: packaging>=20.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib<4.0.0,>=3.6.0->pyreal==0.3.1.1) (23.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib<4.0.0,>=3.6.0->pyreal==0.3.1.1) (4.38.0)\n", + "Requirement already satisfied: cycler>=0.10 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib<4.0.0,>=3.6.0->pyreal==0.3.1.1) (0.11.0)\n", + "Requirement already satisfied: jinja2>=3.0.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from eli5<0.14,>=0.11->pyreal==0.3.1.1) (3.1.2)\n", + "Requirement already satisfied: graphviz in /home/zyteka/dcai-env/lib/python3.8/site-packages (from eli5<0.14,>=0.11->pyreal==0.3.1.1) (0.20.1)\n", + "Requirement already satisfied: six in /home/zyteka/dcai-env/lib/python3.8/site-packages (from eli5<0.14,>=0.11->pyreal==0.3.1.1) (1.16.0)\n", + "Requirement already satisfied: tabulate>=0.7.7 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from eli5<0.14,>=0.11->pyreal==0.3.1.1) (0.9.0)\n", + "Requirement already satisfied: attrs>17.1.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from eli5<0.14,>=0.11->pyreal==0.3.1.1) (22.2.0)\n", + "Requirement already satisfied: slicer==0.0.7 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap<0.42.0,>=0.41.0->pyreal==0.3.1.1) (0.0.7)\n", + "Requirement already satisfied: cloudpickle in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap<0.42.0,>=0.41.0->pyreal==0.3.1.1) (2.2.1)\n", + "Requirement already satisfied: zipp>=0.5 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from importlib-metadata; python_version < \"3.9\"->numba<0.57.0,>=0.56.2->pyreal==0.3.1.1) (3.11.0)\n", + "Requirement already satisfied: imageio>=2.4.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-image>=0.12->lime<0.3.0.0,>=0.2.0.1->pyreal==0.3.1.1) (2.24.0)\n", + "Requirement already satisfied: PyWavelets>=1.1.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-image>=0.12->lime<0.3.0.0,>=0.2.0.1->pyreal==0.3.1.1) (1.4.1)\n", + "Requirement already satisfied: networkx>=2.2 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-image>=0.12->lime<0.3.0.0,>=0.2.0.1->pyreal==0.3.1.1) (3.0)\n", + "Requirement already satisfied: tifffile>=2019.7.26 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-image>=0.12->lime<0.3.0.0,>=0.2.0.1->pyreal==0.3.1.1) (2022.10.10)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from jinja2>=3.0.0->eli5<0.14,>=0.11->pyreal==0.3.1.1) (2.1.2)\n", + "Installing collected packages: matplotlib\n", + " Attempting uninstall: matplotlib\n", + " Found existing installation: matplotlib 3.5.3\n", + " Uninstalling matplotlib-3.5.3:\n", + " Successfully uninstalled matplotlib-3.5.3\n", + "Successfully installed matplotlib-3.6.3\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Collecting matplotlib==3.5.3\n", + " Using cached matplotlib-3.5.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (11.3 MB)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (4.38.0)\n", + "Requirement already satisfied: pillow>=6.2.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (9.4.0)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (2.8.2)\n", + "Requirement already satisfied: packaging>=20.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (23.0)\n", + "Requirement already satisfied: pyparsing>=2.2.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (3.0.9)\n", + "Requirement already satisfied: numpy>=1.17 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (1.23.5)\n", + "Requirement already satisfied: cycler>=0.10 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (0.11.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from matplotlib==3.5.3) (1.4.4)\n", + "Requirement already satisfied: six>=1.5 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from python-dateutil>=2.7->matplotlib==3.5.3) (1.16.0)\n", + "\u001b[31mERROR: pyreal 0.3.1.1 has requirement matplotlib<4.0.0,>=3.6.0, but you'll have matplotlib 3.5.3 which is incompatible.\u001b[0m\n", + "Installing collected packages: matplotlib\n", + " Attempting uninstall: matplotlib\n", + " Found existing installation: matplotlib 3.6.3\n", + " Uninstalling matplotlib-3.6.3:\n", + " Successfully uninstalled matplotlib-3.6.3\n", + "Successfully installed matplotlib-3.5.3\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Requirement already satisfied: numpy==1.23.5 in /home/zyteka/dcai-env/lib/python3.8/site-packages (1.23.5)\n", + "Note: you may need to restart the kernel to use updated packages.\n", + "Requirement already satisfied: shap==0.41.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (0.41.0)\n", + "Requirement already satisfied: cloudpickle in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (2.2.1)\n", + "Requirement already satisfied: numpy in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (1.23.5)\n", + "Requirement already satisfied: numba in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (0.56.4)\n", + "Requirement already satisfied: tqdm>4.25.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (4.64.1)\n", + "Requirement already satisfied: pandas in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (1.5.3)\n", + "Requirement already satisfied: slicer==0.0.7 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (0.0.7)\n", + "Requirement already satisfied: packaging>20.9 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (23.0)\n", + "Requirement already satisfied: scipy in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (1.10.0)\n", + "Requirement already satisfied: scikit-learn in /home/zyteka/dcai-env/lib/python3.8/site-packages (from shap==0.41.0) (1.2.0)\n", + "Requirement already satisfied: llvmlite<0.40,>=0.39.0dev0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from numba->shap==0.41.0) (0.39.1)\n", + "Requirement already satisfied: setuptools in /home/zyteka/dcai-env/lib/python3.8/site-packages (from numba->shap==0.41.0) (44.0.0)\n", + "Requirement already satisfied: importlib-metadata; python_version < \"3.9\" in /home/zyteka/dcai-env/lib/python3.8/site-packages (from numba->shap==0.41.0) (6.0.0)\n", + "Requirement already satisfied: pytz>=2020.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pandas->shap==0.41.0) (2022.7.1)\n", + "Requirement already satisfied: python-dateutil>=2.8.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from pandas->shap==0.41.0) (2.8.2)\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn->shap==0.41.0) (3.1.0)\n", + "Requirement already satisfied: joblib>=1.1.1 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from scikit-learn->shap==0.41.0) (1.2.0)\n", + "Requirement already satisfied: zipp>=0.5 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from importlib-metadata; python_version < \"3.9\"->numba->shap==0.41.0) (3.11.0)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: six>=1.5 in /home/zyteka/dcai-env/lib/python3.8/site-packages (from python-dateutil>=2.8.1->pandas->shap==0.41.0) (1.16.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install lightgbm\n", + "%pip install featuretools\n", + "%pip install pyreal==0.3.1.1\n", + "%pip install matplotlib==3.5.3\n", + "%pip install numpy==1.23.5\n", + "%pip install shap" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "74f7e9e8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/zyteka/dcai-env/lib/python3.8/site-packages/sklearn/preprocessing/_encoders.py:808: FutureWarning: `sparse` was renamed to `sparse_output` in version 1.2 and will be removed in 1.4. `sparse_output` is ignored unless you leave `sparse` to its default value.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
LotFrontageLotAreaStreetLotShapeUtilitiesLandSlopeOverallQualOverallCondYearBuiltYearRemodAdd...HeatingCentralAirElectricalGarageTypeGarageFinishFenceMiscFeatureMoSoldSaleTypeSaleCondition
0107.01389124431520062006...GasAYSBrkrAttchdFinNoNoSepNewPartial
150.0606024437519391950...GasAYSBrkrDetchdUnfMnPrvNoJunWDNormal
260.0600024435619411950...GasAYSBrkrDetchdUnfNoNoMarWDNormal
370.0772824436619621962...GasAYSBrkrAttchdUnfGdWoNoMayWDNormal
480.01048024434619761976...GasAYSBrkrAttchdRFnNoNoSepWDNormal
\n", + "

5 rows × 80 columns

\n", + "
" + ], + "text/plain": [ + " LotFrontage LotArea Street LotShape Utilities LandSlope OverallQual \\\n", + "0 107.0 13891 2 4 4 3 1 \n", + "1 50.0 6060 2 4 4 3 7 \n", + "2 60.0 6000 2 4 4 3 5 \n", + "3 70.0 7728 2 4 4 3 6 \n", + "4 80.0 10480 2 4 4 3 4 \n", + "\n", + " OverallCond YearBuilt YearRemodAdd ... Heating CentralAir Electrical \\\n", + "0 5 2006 2006 ... GasA Y SBrkr \n", + "1 5 1939 1950 ... GasA Y SBrkr \n", + "2 6 1941 1950 ... GasA Y SBrkr \n", + "3 6 1962 1962 ... GasA Y SBrkr \n", + "4 6 1976 1976 ... GasA Y SBrkr \n", + "\n", + " GarageType GarageFinish Fence MiscFeature MoSold SaleType \\\n", + "0 Attchd Fin No No Sep New \n", + "1 Detchd Unf MnPrv No Jun WD \n", + "2 Detchd Unf No No Mar WD \n", + "3 Attchd Unf GdWo No May WD \n", + "4 Attchd RFn No No Sep WD \n", + "\n", + " SaleCondition \n", + "0 Partial \n", + "1 Normal \n", + "2 Normal \n", + "3 Normal \n", + "4 Normal \n", + "\n", + "[5 rows x 80 columns]" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import lightgbm\n", + "from pyreal.transformers import OneHotEncoder, DataFrameWrapper, fit_transformers, run_transformers\n", + "import matplotlib.pyplot as plt\n", + "\n", + "def one_hot_encode(X_train, X_test):\n", + " categorical_features = X_train.select_dtypes(exclude=[np.number]).columns\n", + " ohe = OneHotEncoder(columns=categorical_features)\n", + " \n", + " ohe.fit(pd.concat((X_train, X_test), axis=0))\n", + "\n", + " return ohe.transform(X_train), ohe.transform(X_test)\n", + "\n", + "def fit_model(X_train, y_train):\n", + " return lightgbm.LGBMRegressor().fit(X_train, y_train)\n", + "\n", + "train_data = pd.read_csv(\"train_data.csv\")\n", + "test_data = pd.read_csv(\"test_data.csv\")\n", + "\n", + "y_train = train_data.SalePrice\n", + "X_train = train_data.drop(\"SalePrice\", axis=1)\n", + "\n", + "y_test = test_data.SalePrice\n", + "X_test = test_data.drop(\"SalePrice\", axis=1)\n", + "\n", + "X_train_model, X_test_model = one_hot_encode(X_train, X_test)\n", + "feature_df = pd.read_csv(\"feature_descriptions.csv\") # includes information about features\n", + "\n", + "X_train.head()" + ] + }, + { + "cell_type": "markdown", + "id": "57c51ffe", + "metadata": {}, + "source": [ + "### Generating Explanations\n", + "\n", + "To generate explanations throughout this lab, we will be using the popular explanation library [shap](https://shap.readthedocs.io/en/latest/). SHAP is a *model agnostic* explanation tool, meaning it can be used to explain any ML model, regardless of architecture --- however, as we will see, its explanations are less than useful when using uninterpretable features.\n", + "\n", + "The shap library offers many different (plotting options)[https://shap.readthedocs.io/en/latest/api_examples.html#plots], you can try multiple out to see what works best for your task. Some plots provide *local explantions*, which explain the logic behind a single prediction. For this lab, you will be working with *global explanations*, which explain the model's logic overall. \n", + "\n", + "As a start, we recommend you try the **beeswarm** plot. This chart lists the feature the model considers most important on top, with reducing importance going down the y-axis. Each point represents a line in the dataset, with the color representing the value of the feature. The SHAP impact value, on the x-axis represents how much that feature value contributed to the model prediction. A higher value along the x-axis means that feature was highly positively correlated with the model prediction, while a lower value means it was negatively correlated. A SHAP value of zero means that feature value had no effect on the model prediction.\n", + "\n", + "For example, in the sample visualization below, higher median income and lower populations in house blocks tends to result in higher house prices (which makes sense!) \n", + "\n", + "![example explanation](example_explanation.png)" + ] + }, + { + "cell_type": "markdown", + "id": "cddbedde", + "metadata": {}, + "source": [ + "Run the cell below for two helper functions that will get you started on generating explanations." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d2743763", + "metadata": {}, + "outputs": [], + "source": [ + "import shap\n", + "\n", + "def explain(model, X_train):\n", + " \"\"\"\n", + " Explain a model with a beeswarm plot. \n", + " \n", + " model: a machine learning model\n", + " X_train: a dataset of valid inputs to model\n", + " \"\"\"\n", + " explainer = shap.explainers.Tree(model, X_train)\n", + " shap_values = explainer(X_train)\n", + "\n", + " shap.plots.beeswarm(shap_values, max_display=10)\n", + "\n", + "def explain_feature(model, X_train, feature_name):\n", + " \"\"\"\n", + " Generate an explanation for the impact of a specific \n", + " feature on model predictions.\n", + " \n", + " model: a machine learning model\n", + " X_train: a dataset of valid inputs to model\n", + " feature_name: string, the name of a feature to investigate\n", + " \"\"\"\n", + " explainer = shap.explainers.Tree(model, X_train)\n", + " shap_values = explainer(X_train)\n", + "\n", + " shap.plots.scatter(shap_values[:, feature_name])" + ] + }, + { + "cell_type": "markdown", + "id": "8eb9a026", + "metadata": {}, + "source": [ + "### Feature Transforms 1: PCA\n", + "\n", + "We will begin by running a [PCA (Principle Component Analysis)](https://builtin.com/data-science/step-step-explanation-principal-component-analysis) on the data. Run the cell below to standardize and PCA transform the data, and train a light GBM model. Note the performance (given as an [R^2](https://www.geeksforgeeks.org/ml-r-squared-in-regression-analysis/) score)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ff34077e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of PCA components used: 155\n", + "R^2 Score (PCA): 0.864\n" + ] + } + ], + "source": [ + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.decomposition import PCA\n", + "\n", + "scaler = DataFrameWrapper(StandardScaler())\n", + "\n", + "X_train_std = scaler.fit_transform(X_train_model)\n", + "X_test_std = scaler.transform(X_test_model)\n", + "\n", + "pca = PCA(n_components=0.95)\n", + "pca.fit(X_train_std)\n", + "\n", + "X_train_pca = pd.DataFrame(pca.transform(X_train_std), columns=pca.get_feature_names_out())\n", + "X_test_pca = pd.DataFrame(pca.transform(X_test_std), columns=pca.get_feature_names_out())\n", + "\n", + "model_pca = fit_model(X_train_pca, y_train)\n", + "\n", + "print(\"Number of PCA components used: %i\" % pca.n_components_)\n", + "print(\"R^2 Score (PCA): %.3f\" % model_pca.score(X_test_pca, y_test))" + ] + }, + { + "cell_type": "markdown", + "id": "9dbf9354", + "metadata": {}, + "source": [ + "In the cell below, use the explanation helper functions (or others from the shap library/other explanation libraries you may be interested in trying) to generate some explanations of the model's prediction. Think about what additional steps you may need to take to identify the source of poor performance. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7f3c34f2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Generate an explanation of the PCA model, and see if you can identify the data flaw\n", + "\n", + "explain(model_pca, X_train_pca)\n", + "explain_feature(model_pca, X_train_pca, \"pca0\")" + ] + }, + { + "cell_type": "markdown", + "id": "ba54738d", + "metadata": {}, + "source": [ + "### Feature Transforms 2: Automatic Feature Engineering\n", + "\n", + "Next, we will try a different set of transformations using an automatic feature engineering tool - [Featuretools](https://www.featuretools.com/). This is a powerful library that makes it possible to dry hundreds of feature engineering options with just a few lines of code. There are many situations were this is a very useful process - but as we'll see below, automatic feature engineering without care can lead to less interpretable features.\n", + "\n", + "Run the cell below to generate a significantly larger dataset of engineered features. This process may be slow - you can load in the pretrained results of the engineering process by setting `load_pretrained = True`" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "28861e24", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting deep feature synthesis on training data\n", + "Starting feature engineering on testing data\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "`sparse` was renamed to `sparse_output` in version 1.2 and will be removed in 1.4. `sparse_output` is ignored unless you leave `sparse` to its default value.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "R2 Score (Featuretools): 0.8043014861316414\n" + ] + } + ], + "source": [ + "import featuretools as ft\n", + "\n", + "load_pretrained = False\n", + "\n", + "def make_entity_set(X):\n", + " es = ft.EntitySet(id=\"houses\")\n", + " \n", + " X_with_ind = X.copy()\n", + " X_with_ind['index'] = X_with_ind.index\n", + " \n", + " es = es.add_dataframe(\n", + " dataframe_name=\"houses\",\n", + " dataframe=X_with_ind,\n", + " index=\"index\",\n", + " )\n", + " \n", + " return es\n", + "\n", + "def feature_engineer(es, num_to_engineer=15, primitives=None):\n", + " # To avoid large computation times, we \n", + " ignore_features = list(feature_df[\"name\"][num_to_engineer:])\n", + " \n", + " if primitives is None:\n", + " # To avoid large computation times, we'll just work with a truncated set of options\n", + " primitives = ['multiply_numeric', \"greater_than\", \"divide_by_feature\", \"cosine\", \"tangent\"]\n", + " \n", + " feature_matrix, feature_defs = ft.dfs(\n", + " entityset=es,\n", + " target_dataframe_name=\"houses\",\n", + " trans_primitives=primitives,\n", + " ignore_columns={\"houses\": ignore_features},\n", + " max_depth=1,\n", + " max_features=1000\n", + " )\n", + " \n", + " return feature_matrix, feature_defs\n", + "\n", + "if load_pretrained:\n", + " X_train_ft = pd.read_csv(\"X_train_ft.csv\")\n", + " X_test_ft = pd.read_csv(\"X_test_ft.csv\")\n", + "\n", + "else:\n", + " print(\"Starting deep feature synthesis on training data\")\n", + " X_train_ft, feature_defs = feature_engineer(make_entity_set(X_train))\n", + "\n", + " print(\"Starting feature engineering on testing data\")\n", + " X_test_ft = ft.calculate_feature_matrix(feature_defs, make_entity_set(X_test))\n", + "\n", + "X_train_ft_model, X_test_ft_model = one_hot_encode(X_train_ft, X_test_ft)\n", + "\n", + "model_ft = fit_model(X_train_ft_model, y_train)\n", + "print(\"R2 Score (Featuretools):\", model_ft.score(X_test_ft_model, y_test))" + ] + }, + { + "cell_type": "markdown", + "id": "4bb54764", + "metadata": {}, + "source": [ + "Once again, try generating explanations on the generated data, and see if you can guess at the flaw in the data. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2d552584", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "explain(model_ft, X_train_ft_model)\n", + "explain_feature(model_ft, X_train_ft_model, \"LotShape * OverallQual\")" + ] + }, + { + "cell_type": "markdown", + "id": "388dd176", + "metadata": {}, + "source": [ + "### Basic Feature Transformations\n", + "\n", + "In many datasets, complex feature engineering does not offer a lot (or any!) boost in model performance, while lowering the interpretability of features. In this dataset, we happened to be given data already turned into useful features. Again, we will train a model on a set of features. Then, try generating some explanations and see if you can guess at the data flaw." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e49e3f30", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "R2 Score (Original): 0.9238520966108774\n" + ] + } + ], + "source": [ + "model_orig = fit_model(X_train_std, y_train)\n", + "print(\"R2 Score (Original):\", model_orig.score(X_test_std, y_test))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "dce68d43", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Generate an explanation of the PCA model, and see if you can identify the data flaw\n", + "explain(model_orig, X_train_std)\n", + "explain_feature(model_orig, X_train_std, \"OverallQual\")" + ] + }, + { + "cell_type": "markdown", + "id": "e6a92dbe", + "metadata": {}, + "source": [ + "### Boosting Feature Interpretability\n", + "\n", + "You may have already guessed at one or both flaws in the data based on the explanations generated above, but we can make explanations that are even more immedietely readable by using a library that factors in feature interpretability like [Pyreal](https://dtail.gitbook.io/pyreal/). The example below shows the setup for a Global Feature Importance explanation, which provides one overall importance value per feature to show you which features are most used by the model generally. \n", + "\n", + "The explanation you generate in the cell below should help you identify one of the data flaws." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2b689910", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "`sparse` was renamed to `sparse_output` in version 1.2 and will be removed in 1.4. `sparse_output` is ignored unless you leave `sparse` to its default value.\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from pyreal.explainers import GlobalFeatureImportance, LocalFeatureContribution\n", + "from pyreal.utils.visualize import plot_top_contributors, swarm_plot\n", + "\n", + "feature_descriptions = dict(zip(feature_df.name, feature_df.description))\n", + "\n", + "categorical_features = X_train.select_dtypes(exclude=[np.number]).columns\n", + "ohe = OneHotEncoder(columns=categorical_features)\n", + "scaler = DataFrameWrapper(StandardScaler())\n", + "\n", + "ohe.fit(pd.concat((X_train, X_test), axis=0))\n", + "scaler.fit(ohe.transform(X_train))\n", + "\n", + "global_explainer = GlobalFeatureImportance(model_orig, x_train_orig=X_train, \n", + " e_algorithm=\"shap\", transformers=[ohe, scaler], \n", + " feature_descriptions=feature_descriptions, \n", + " fit_on_init=True)\n", + "\n", + "explanation = global_explainer.produce()\n", + "plot_top_contributors(explanation, n=10)" + ] + }, + { + "cell_type": "markdown", + "id": "5c480052", + "metadata": {}, + "source": [ + "You can now look at multiple individual explanations individually using `plot_top_contributors`, or you may find it more useful to generate a swarm plot like the ones above using Pyreals [swarm_plot](https://sibyl-ml.dev/pyreal/api_reference/api/pyreal.utils.visualize.swarm_plot.html#pyreal.utils.visualize.swarm_plot) function." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c5aae67c", + "metadata": {}, + "outputs": [], + "source": [ + "local_explainer = LocalFeatureContribution(model_orig, x_train_orig=X_train, \n", + " e_algorithm=\"shap\", transformers=[ohe, scaler], \n", + " feature_descriptions=feature_descriptions, \n", + " fit_on_init=True)\n", + "\n", + "local_explanation, x_interpret = local_explainer.produce(X_train[0:1000])" + ] + }, + { + "cell_type": "markdown", + "id": "8685160e", + "metadata": {}, + "source": [ + "You can now look at multiple individual explanations individually using `plot_top_contributors`, or you may find it more useful to generate a swarm plot like the ones above using Pyreals (swarm_plot)[] function." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "34eadde6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "swarm_plot(local_explanation, x_interpret, type=\"strip\")" + ] + }, + { + "cell_type": "markdown", + "id": "97ed2405", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "As you may have determined from the explanations above, the data has two flaws.\n", + "\n", + "
\n", + " Click to reveal solution The first is an example of **data leakage**, by including a feature for the bid price on houses sold in the past. We won't have access to the information for new houses on the market, so a model that relies heavily on this information will not be useful for setting the original house price.\n", + "\n", + "The second was a mistake in the engineering of features, resulting in higher quality of housing materials leading to lower model predictions. If this mistake does not exist in new data coming in, we can expect model performance to decrease. \n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "bc80977f", + "metadata": {}, + "source": [ + "### Bonus activity\n", + "\n", + "If you'd like to get more experience with generating interpretable features, try finding a dataset on a topic you know a lot about. Generate features based on information you know is important, and then compare the explanations and performance to features generated automatically using a tool like the ones above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cd2ba7ff", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "dcai-venv", + "language": "python", + "name": "dcai-venv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}