{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Permutation Importance Documentation\n",
    "\n",
    "`scikit-explain` includes [single-pass](https://christophm.github.io/interpretable-ml-book/feature-importance.html), [multi-pass](https://journals.ametsoc.org/view/journals/bams/100/11/bams-d-18-0195.1.xml), [second-order](https://www.mdpi.com/2076-3417/9/23/5191), and [grouped](https://arxiv.org/abs/2104.11688) permutation importance , respectively. In this notebook, we highlight how to compute these methods and plot their results.  In the first set of examples, two tree-based models (random forest and gradient-boosting) and logistic regression from scikit-learn were trained on a portion of the road surface temperature data from [Handler et al. (2020)](https://journals.ametsoc.org/view/journals/wefo/35/5/wafD190159.xml). The goal is to predict whether road surface temperatures will be above or below freezing (32 F) in the next hour. This dataset has 100 K examples with a class skew of 39%.\n",
    "\n",
    "A regression-based example is also shown using the Californina housing dataset available in scikit-learn. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys, os \n",
    "sys.path.insert(0, os.path.dirname(os.getcwd()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\"> plotting_config is a python script that contains plotting variables for the built-in skexplain dataset. If you execute this notebook in another directory, you'll have to copy over that script.  </div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import skexplain\n",
    "import plotting_config "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Random Forest', RandomForestClassifier(min_samples_leaf=5, n_estimators=200, n_jobs=5)), ('Gradient Boosting', GradientBoostingClassifier()), ('Logistic Regression', LogisticRegression(C=1))]\n",
      "X Shape : (100000, 30)\n",
      "y Skew : 39.173%\n"
     ]
    }
   ],
   "source": [
    "# Loading the training data and pre-fit models for the classification problem\n",
    "estimators = skexplain.load_models()\n",
    "X,y = skexplain.load_data()\n",
    "\n",
    "print(estimators)\n",
    "print(f'X Shape : {X.shape}')\n",
    "print(f'y Skew : {y.mean()*100}%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Computing Permutation Importance\n",
    "\n",
    "Feature/predictor ranking is often a first step in model explainability and a popular model-agnostic approach is the permutation importance method. In this method the data for each feature is permuted (shuffled) and the permuted feature associated the greatest decrease in model performance (based on some error metric) is deemed the most important (and each feature is ranked subsequently). This describes what is known as the backward single-pass permuation importance method (McGovern et al. 2019; [Fig 1](https://permutationimportance.readthedocs.io/en/latest/methods.html#permutation-importance) for an illustration). This method is appropriate for datasets with independent features (where little to no correlations exist between features). For datasets with physical or statistically dependent features, we can extend the single-pass method to permuted multiple features (known as the multi-pass permutation method; Lakshmanan et al. 2015, JOAT; see [Fig.2](https://permutationimportance.readthedocs.io/en/latest/methods.html#permutation-importance)) where the top feature remains permuted before assessing the second most important predictor, and so on for the third predictor and beyond. By keeping features permuted, it ought to break the interfeature correlations. \n",
    "\n",
    "`skexplain.calc_permutation_importance` requires the following args:\n",
    "* `n_vars`, the number of predictor to compute for the multi-pass method.\n",
    "* `evaluation_fn`, the error function used to assess loss of skill.\n",
    "    * `mintpy` has 5 built-in error metrics for evaluating predictor importance: \n",
    "        * Area under the Curve (`'auc'`)\n",
    "        * Area under the Precision-Recall Curve (`'aupdrc'`)\n",
    "        * Normalized Area under the Performance Diagram Curve (`'norm_aupdc'`)\n",
    "        * Brier Skill Score (`'bss'`)\n",
    "        * Mean Square Error (`'mse'`) \n",
    "* `n_permute`, number of times to repeat permutations for confidence intervals\n",
    "* `subsample`, can be a float between 0-1 or an integer, which is interpreted as the percentage of examples or exact number of random samples to use, respectively. \n",
    "* `n_jobs`, number of processor to run the script on.\n",
    "    * Could be the exact number or percentage of the total available to use (0-1) similar to subsample\n",
    "* `verbose`, allows for a print out of the progress.\n",
    "* `random_state`,  Pass an int to get reproducible results across function calls.\n",
    "* `direction`, Whether features are progressively unpermuted (`'forward'`) or features are left permuted for second-, third-most important features (`'backward'`). The results are often not identical. \n",
    "   \n",
    "__Note__: `evaluation_fn` can also be any user-defined function of the form \n",
    "`evaluation_fn(targets,predictions)` where a single value is returned. \n",
    "However, when using your own function, then you must also set the scoring strategy argument. If a metric is positively-oriented (a higher value is better), then set `scoring_strategy = \"minimize\"` and if it is negatively-oriented-oriented (a lower value is better), then set `scoring_strategy = \"maximize\"`. \n",
    "\n",
    "\n",
    "In this example, we want to know the top 10 predictors for each ML model. We are using normalized area under the precision-recall curve (NAUPDC; [Flora et al. 2021](https://journals.ametsoc.org/view/journals/mwre/149/5/MWR-D-20-0194.1.xml), [Miller et al. 2022](https://journals.ametsoc.org/view/journals/wefo/37/2/WAF-D-21-0079.1.xml?rskey=aCtD7q&result=1)) as the error metric. To produce confidence intervals, we are using 5 bootstrap iterations (kept small for demostration purposes, but should typically be >30). The multipass permutation importance method can be computationally expensive for larger datasets. Thus, we've included a method to `skexplain` to store the results for later use. The results are stored in `xarray.Dataset`s and saved as netcdf files. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer = skexplain.ExplainToolkit(estimators,X=X, y=y,)"
   ]
  },
  {
   "cell_type": "code",
   "source": "explainer.set_plotting_config(\n    display_feature_names=plotting_config.display_feature_names,\n    display_units=plotting_config.display_units,\n    feature_colors=plotting_config.color_dict,\n)",
   "metadata": {},
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 5 µs, sys: 4 µs, total: 9 µs\n",
      "Wall time: 19.3 µs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Perm. Imp.: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:47<00:00,  4.72s/it]\n",
      "Perm. Imp.: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:39<00:00,  3.91s/it]\n",
      "Perm. Imp.: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:50<00:00,  5.07s/it]\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "results = explainer.permutation_importance(\n",
    "                                           n_vars=10, \n",
    "                                           evaluation_fn='norm_aupdc',\n",
    "                                           n_permute=5, \n",
    "                                           subsample=0.1,\n",
    "                                           n_jobs=8,\n",
    "                                           verbose=True,\n",
    "                                           random_seed=42, \n",
    "                                           direction='backward',\n",
    "                                              )\n",
    "\n",
    "# Save the permutation importance results as a netcdf file using the bulit-in function within scikit-explain\n",
    "explainer.save(fname='../tutorial_data/multipass_importance_naupdc.nc', data=results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading saved permutation importance results \n",
    "\n",
    "There are I/O methods built into `scikit-explain` that allows for loading and saving `ExplainToolikit` results. For example, we might want one script for computing the explainability results and another for loading them to plot the results. To do so, we initialize an empty `ExplainToolkit` and call the `load` method. There are attributes saved in each output netCDF file that are used as an attributes for `ExplainToolkit`, which makes using `scikit-explain` more streamlined. Though it is not demonstrated here, you can also pass a list of filenames and the datasets are merged into one when being loaded. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Instantiate an empty explainer class.\n",
    "explainer = skexplain.ExplainToolkit()\n",
    "# Load the results file; gets load as a class attribute \n",
    "results = explainer.load(fnames='../tutorial_data/multipass_importance_naupdc.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting Single-Pass Permutation Importance for a Single Model\n",
    "\n",
    "\n",
    "The first iteration of the multi-pass permutation method is the single-pass method and is therefore saved by default.\n",
    "Feature ranking plotting in `scikit-explain` is highly flexible, so if we want show multiple panels, then we need to declare what to show in each panel (i.e., (method, estimator name)). For example, to only plot the singlepass results from the random forest, we set ``panels=[('singlepass', 'Random Forest')]``. The single-pass method ranks all features, so for readability, you can set `num_vars_to_plot` (default=15). \n",
    "\n",
    "\n",
    "</div> <div class=\"alert alert-block alert-warning\"><b>Note</b> : Importance scores for the backward method are determined based on deviation from the original score. The original score is shown as the vertical dashed line. </div> \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 900x750 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = explainer.plot_importance(data=results, \n",
    "                                panels=[('backward_singlepass', 'Random Forest')], \n",
    "                                num_vars_to_plot=15, \n",
    "                                 )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Changing the X-axis label\n",
    "\n",
    "By default, `skexplain` uses the method name for the X-axis label. We can use the arg ``x_labels`` for custoum X-axis labelling. In this case, we set it to \"AUC\". When we increase the number of panels, ``x_labels`` should be a list of labels for each panel. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x750 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = explainer.plot_importance(data=results, \n",
    "                                panels=[('backward_singlepass', 'Random Forest')], \n",
    "                                num_vars_to_plot=15, \n",
    "                                xlabels = ['AUC']\n",
    "                                 )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using a custom axes object \n",
    "\n",
    "By default, scikit-explain will internally create matplotlib.Axes object and label them for scientific publication quality. To avoid this, the user can send in their own axes object "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 44.749999999999986, 'AUC Score')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "fig, ax = plt.subplots(dpi=300, figsize=(4,3))\n",
    "\n",
    "fig = explainer.plot_importance(data=results, \n",
    "                                panels=[('backward_singlepass', 'Random Forest')], \n",
    "                                num_vars_to_plot=15, \n",
    "                                xlabels = ['AUC'],\n",
    "                                ax=ax\n",
    "                                 )\n",
    "ax.set_xlabel('AUC Score')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting Single-Pass Permutation Importance for Multiple Models\n",
    "\n",
    "We computed permutation importance results for 3 different ML models and we can display them in a single plot by adding to the `panels` arg. In some cases, the default figure size might produce less than desirable results. We can pass in the `figsize` arg to alter the figure size. \n",
    "\n",
    "\n",
    "</div> <div class=\"alert alert-block alert-warning\"><b>Warning</b>: When using multiple panels, len(panels)==len(data). In this case, I repeat the same dataset 3 times. If you wanted to plot single-pass and multi-pass, the dataset would need to be repeated twice. </div> \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Pn7/LiAEAAADgH/dkQcZDDz1kdcxgMOS4/fbt21ne29bKiZIsduUwrbSYle+++06vvvqqatasqcWLF8vNzS3ba+7c/cDEFL+t9ybJHHNW7y23bD0z48qFt27dyvJ6UzFJZoYOHaqAgABdu3ZNgwcPVnBwsIYPH661a9cqISEhd0Fnw9Zqjiamzzknn3F+y64vDx06JEn6888/5e/vb/NnwIAB5vPj4+Mzvde0adO0Y8cOubq66tNPP830bw8AAAAoilxcXCzGiUBe6tmzp4KDg3X79m2NGTNGderU0cCBA/XNN99kuWhEdkxjwJIlS9r8gtqkSZMmqlChQq6fkxcyG2Oa8g13m2uoVauWevXqJUlatGiR6tWrp65du+rzzz83b/XraKbFMmwx5RqSk5Pz7Pm5ldNcgySFhoZmmm/4+++/JWWdazh69KhGjx4tKX1H1jt35gAAAAAKE4PBIIPBIFdXV7m6upp/B4DMmOYYlCxZUl5eXjbPyWqugpS+WEX9+vUlWRZcbNiwQaVKlVKDBg3Uvn17q/bjx4/r999/N++wkZmCyF+sXbtWkydP1lNPPaUZM2bk6Jrs5sZk1m76dzov5s4AAAAAuWVwscwxZPZD7qHwuic/lexW6Xd2zn0dSlZ/yB4eHubXpi+ZM/P999+rR48eqlKlipYuXaoSJUrk6PnZxX437y23MitQcdT1ZcqU0bfffqsvv/xS33zzjWJjY7Vs2TItW7ZM7u7u6tatm0aPHp3l5BJ75eRzzu4zLgjZ9eX169clpU88mTp1arb3y2wb0D179pi3IR07dqzq1q1rX6AAAABAIVeufHm5GdgBDvnDw8NDq1atUmRkpJYuXaqff/5Za9eu1dq1a2UwGNSpUyeNGzfOvDtETpnGrRkXTSgq7ja/kZNcxcSJE9WyZUstXrxY27dv1+7du7V7925NmDBBjz/+uN5+++1Md+pwdEwZc0o3btxw2DMdIae5BklauHCheZfOzGQ24SQpKUn9+/dXYmKigoOD9dZbb9kfLAAAAJCP/Cum7+ZW/ZEa8nRzUmpqagFHBKCwy0muxtXVNdv7tG/fXt9//702btyoCRMmSErfKbVt27ZydnZWhw4d9Nlnn+ngwYM6efKkKlWqpHXr1unhhx/OdgeO/M5frF+/XsOGDVNISIjmzZuXo4VMpcI5dwYAAADILV//ADlJqlq9hnn+sqeb5On2z5wFo9FI7qEQuycLMvKS0WjMtC0pKcn8OqvigD179ujll1/WI488oiVLlmS66wX+4enpqQEDBmjAgAE6evSo1q9fr6ioKB09elQLFizQr7/+qpUrVzpsUJ2Tz9mRBSD5xVT4k5KSoho1auTqHufPn9fQoUOVkpKi9u3bq1+/fo4MEQAAAChSXFxcMt1Z4G6L13F/MRgM6t69u7p37674+HitX79eq1at0oEDBxQVFaWffvpJW7ZskaenZ47vaRq33rx5M6/CLvKeeuopPfXUU7p+/bq2bNmitWvXatu2bfruu+/03HPPad26dQoMDHTIs1JSUjJty5hTeuCBBxzyvPyScZGR0qVL5zrf8Oabb+qPP/7Qgw8+qE8//TTHEzAAAACAoo7cAnD/MOVqMuYB7pScnJztfTp06KAJEyYoPj5ev/zyi/z8/LR//34NGzZMklS3bl2VK1dOZ86c0fr16zVkyBCLgo2s5Gf+YuXKlRo+fLieeuopff755ypWrNhd3xMAAADAP8g55B9Kwu105cqVTAegcXFx5tfVq1e3ec727dvVs2dP1axZU19//bVFMcbNmzcVFxeXZTEApKpVq+q///2v/ve//5lXS/zhhx/0/fffO+wZFy9ezLTN9Dln9hkXZqZJJCdPnswykbJ7925FREQoISHB4nhqaqqGDBmi8+fPq1KlSgoLC8vTeAEAAIDCrnz58tq/f7/Nn+xWiQcy4+vrq/79+2vDhg2aPXu2nJ2ddfLkSW3YsMGu+5jGgJcvX85yl8fExMQsJwLcD0qUKKF///vfWrhwobZs2aJSpUrp1q1bmj9/vsOeceHChUzbTLkGV1dXBQQEOOyZ+SFjwcqxY8cyPS8+Pl4RERH69ddfrdoiIyO1bNkyOTk5aerUqZkmhgEAAIB7EbkF4P5RrVo1SenzTjLbYSKr/IGJr6+veVfPDRs2aMOGDSpRooQaN24sSXJyclL79u0lpe9AcfLkSf3222/q2LFjtvfOr/xFZGSkXnnlFbVp00bz5s2zKMZISEiwmH8DAAAAIHfIOeSfQl+QYdp6RZLS0tLMr3ft2qXo6Oh8j+fWrVv65ZdfbLbt3r1bkvTQQw+pfv36Vu3ffvutevfurfr16ysiIsJqxYCffvpJDRs21JkzZxwed1HWt29f80oOGTk5OWngwIHy9vaWJJ07d85hz9y/f7/N4wcPHtTVq1clSa1bt3bY8/JLp06dJKVPttmzZ4/Nc4xGo4YOHarw8HCrlVc/+eQTxcTEqFixYvrss88sVsGUpJiYGL355pt5EzwAAAAA3KPGjx+vLl262Gx75pln9Oijj0pK37HQHk8//bR51cNdu3bZPOfEiROqVq2aRo0aZde9i7rVq1erTp06unLlilXbI488os6dO0uyv8+z8ssvv+jWrVs220yfT9OmTeXu7u6wZ+aHevXqydfXV5K0devWTM+bN2+eXn/9das+j42N1dixYyVJgwYNUqtWrayu7devn/744w8HRg0AAAAAQP5r06aN+XVMTIzNczKbq3CnjAUX69evV9u2bS3m13To0EGSdODAAX366acqVaqUGjVqlO19c5u/MK2um3Fez4ULF7R69WrFx8dbnLto0SK9+uqrevbZZzVnzhy5urpatK9bt04NGzbMNlYAAAAAKCwKfUHGww8/bH6d8QvbN954Q3PmzMn3eJydnTV16lSLQaSUvspfZGSkJGno0KFWg881a9aoX79+CgkJ0aJFi+Th4ZFvMRd1V69e1bZt22zuWnH27Fn9/fffcnZ2VlBQkMOeGRUVpT///NPqeHh4uKT01R/btm3rsOfllyeffFLNmzeXJH300Ue6efOm1TlTpkzRhQsXNGzYMDk5OZmP79y5UzNmzJAkTZgwQTVr1rS6Ni4uTtu2bcuj6AEAAADg3nT9+nV9//33Onr0qFVbYmKiTp8+LUnmlQ9zqmrVqurRo4ckadq0aTbHgGFhYXJyclLPnj3tD7wIu3nzpi5cuKCNGzfabDft9GBvn2fl77//1rx586yOb9y4Ub///rtcXFw0fPhwhz0vvxgMBo0bN05Sev7rp59+sjrn999/15IlSxQcHKymTZuajyckJGjAgAFKSkrS448/rtGjR9t8xoYNG3Tp0qW8eQMAAAAAAOSTOnXqmL+vnz59upKTky3aL1++rAULFuToXqaCjJMnT2r37t3m300ee+wxlS5dWpK0ZMkStW3b1lw0kZWEhIRc5S9MzzItcCmlzzEYPHiwxdyLzz//XGPGjFG3bt00bdq0HMUEAAAAAIWdIftTClZAQICqV6+uw4cPa9q0aercubN27NihkydPqlevXpLSvyRPTk6W0WiUlD5JPzY2VuXKlZO3t7diY2Mt7hkXF6fY2FhVqVLFfH3G3RWOHz+uhIQEValSxaoSv3z58ipbtqx69uypl19+WaVLl1ZsbKw++eQT3bhxQ08//bT69+9vcc3GjRs1dOhQpaSkKCYmRrVq1bL5XlNTU62OXbt2TWfOnNHZs2clpe9eEBsbK1dXV1WpUkUXL140/0jpEzViY2Pl7e2tcuXK6cyZM7p27ZquX78uKX2SR8Z2eyUmJurUqVMW20Oa+rdGjRpKTk7Osj+lzPvb09NT/v7+Np979epVPffcc+rfv78eeeQRubi46MiRI5o9e7ZSU1P1+uuvq2LFina/Hyl9EsbJkyctjrVt21bPPfecRowYodq1a+vq1atavHixNm/erLJly+rTTz81ry5hes8Zmf7GTH+D9jJ9pnd+7pLM/ZRVX2fVlzNnzlSfPn20d+9ePfvssxo0aJACAgJ07tw5rVy5UqtXr1bXrl0tJuOcPXtWQ4cOVWpqqgIDA1WxYkXt3LnT6t5Hjhyx+70CAAAAwP3OyclJRqNRXbt21cCBA1WrVi25u7vrzz//1Ny5c3XlyhV169ZNjRs3lvRPrsDW2NyULzB55513dPnyZa1du1ZdunTRwIEDVbFiRZ05c0ZfffWVtm7dqvHjx+uxxx6zGZspDyDJnHcx5RbufNbdyC63c+rUKSUmJioxMVFS+rg5NjZWPj4+8vHxybRdks38jmkBgrfeekvHjx9X06ZN9dBDD+n8+fOKiorS9u3bVbNmTQ0YMCDX7+nkyZO6efOmOSfTpEkTffHFFzp79qw6dOggd3d37dq1S9OmTZOUvvhB3bp1zdeb3tOdOZ2sxvxZySp/If3TT/b2pZS+I+eZM2c0ceJEdevWTYMHD1aTJk2UkpKi7777TnPmzJGPj4/V4iqjR4/W0aNHZTAY1K1bt0xXBwUAAAAA4F4xZcoUhYaG6ueff1a3bt00YMAAlS1bVkeOHNHUqVMVEhKiqKgoSf98/+/n5ycvLy+L+wQEBOjRRx/V77//rhIlSuiJJ56waHd2dlbbtm21ePFipaWlmXfMyE779u21Zs2aHOcvTFq1aqWoqCht3LhRLVu2lMFg0KxZs1S2bFnz4prz58/XhAkTJEmrVq3SqlWrbMaQkpJidSyzuTGmPElmc2Oyyx2Z2gEAAADgbjil3bnVQyF09OhRTZgwQT/88INu3bolX19fhYaGasiQIXJxcVGDBg30119/WV0XHh6url27ytfX1+Z99+3bJ0mZbnW4b98++fn5SZIiIyM1cuRIVahQQfv27dPixYsVGRmpo0ePKjU1VdWrV9eLL76obt26WewqIEnjx4/X/Pnzc/x+bT33ThUqVND+/fsVFhZm3rUho9DQUE2dOlXDhw/XsmXLMm23V0xMjEJDQ222xcfHKy4uLsv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      "text/plain": [
       "<Figure size 3300x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = explainer.plot_importance(data=[results]*3, \n",
    "                                panels=[('backward_singlepass', 'Random Forest'), \n",
    "                                        ('backward_singlepass', 'Gradient Boosting'), \n",
    "                                        ('backward_singlepass', 'Logistic Regression'), \n",
    "                                       ],\n",
    "                                num_vars_to_plot=15, figsize=(11,4) )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Changing the bar facecolors\n",
    "\n",
    "By default, skexplain uses a light blue color for the facecolors. The user, though, does have the option to provide a different color using ``feature_colors``, which can be a single color or as we will see below a dictionary that could map individual features to particular colors (e.g., if features can be clustered). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3300x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = explainer.plot_importance(\n",
    "                                data=[results]*3, \n",
    "                                panels=[('backward_singlepass', 'Random Forest'), \n",
    "                                        ('backward_singlepass', 'Gradient Boosting'), \n",
    "                                        ('backward_singlepass', 'Logistic Regression'), \n",
    "                                       ],\n",
    "                                num_vars_to_plot=15,\n",
    "                                feature_colors = 'xkcd:medium green',\n",
    "                                figsize=(11,4)\n",
    "                                    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting Multi-Pass Permutation Importance \n",
    "\n",
    "To plot the multi-pass results, simply changing the method (the first part of the tuple) to ``multipass``. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jRqr7xMXFaf/+/dq6dasOHjyoe/fuWU2bL18+vfLKKxo8eLDKli2boTLeuHFD8+bN086dOxUREWE1nZeXl5o1a6aOHTuqfv36GTpWSpMmTdKvv/6aZjpfX18FBgaqX79+aaYdPXq0xowZY3HbgAEDdOjQIUnSqlWr9Pzzz2eoXCtWrFDDhg1N1p06dUobN27U77//nuowgi4uLmrevLmGDBmiunXrpvFupK5du8rPz8/itqT3Gh8fr8WLF2vJkiVWb4C/8sormj59usVt27Zt05w5c6yWu06dOvr3v/+dZfWeWSNHjjQJEPn7++u3337Tyy+/bNP+BoPB2HuoR48eKlmyZLrL8NVXX2nevHkWt6X2Wbds2VKBgYEWt/n6+qpcuXLpLoslN2/eVKtWrSxuCwwMlI+Pj9V9L1y4YHydWrpPP/1U3bp1y3gh7Sw8PNxsnaenp8nyvXv3tGnTJvn6+urvv/9WbGys1fwqV66sPn36qGfPnukK5MTFxWn16tVatWqVrl+/bjVdgQIF1KhRI7Vp00Zt27ZVvnz5Us3377//1rx583To0CHFx8dbTOPs7KyaNWuqWbNm6ty5sypWrGhzuQEAQPYjQAQAAAA8QX755ReT5cqVK6tOnTqp7jN27Fjt2rXLZF29evVUqVIllShRQo8ePZKfn59OnDihiIgIff/999q4caOmT5+u1q1bp6t8ixYt0pw5cxQXFydJyps3r5o0aaIKFSrI1dVVwcHB+uuvvxQYGKjAwECtXr1aq1evVtWqVbVy5UoVKVIkXcfLSffu3TOZf2Tr1q1WA0TptXz5cn3yyScm66pUqaLq1aurbNmyiomJ0ZUrV3Ts2DFFRETI19dXe/bs0fDhwzV27NhMHTs6OlojR47UH3/8ke594+LiNGnSJG3atMm4zt3dXU2aNFGlSpWUkJCgK1eu6NChQ+rXr58mTJhgcV6t7FarVi299NJL2r9/v3HdggUL1KFDBzk5OaW5//bt23Xx4kW5ublpyJAh9iwqctCVK1fM1lWoUMH4+v79+3rppZeM33+SVLBgQTVo0EBly5ZV3rx5defOHR07dkyBgYG6cuWKpk2bpk2bNunLL7+0KbAYEhKiYcOG6cSJE5IkNzc31atXT97e3ipQoICioqLk7++vw4cPKywsTLt27dKuXbv04Ycfavv27VaPsXDhQs2ZM0cGg0GSVKlSJdWtW1fFixeXlNiL8ciRIwoKCtKpU6d06tQpffXVV5oyZYr69u1r82cIAACyFwEiAAAA4AmQkJCgmTNn6uTJk8Z1bm5u+uijj9IcBisqKsr4ukaNGvr0009VrVo1s3Q3btzQlClTdOTIEYWGhuqtt97S0qVL1aBBA5vK+MEHH+iHH34wLnfp0kVTp05VoUKFzN7Lli1b9P777xufyL906ZLCw8MzHSCaPn26pk+fLn9/fw0ePFi3bt1S9erVtXjxYuONziTlypUz9mwYM2aMduzYYdy2YcMGi59Rcr/99pvJU/bbt2/XlClT5OLiYrVckvTOO+9o06ZNateunb788kuLeUdHRxtfe3p66pNPPlGrVq3MghWhoaGaO3euVq5cqYSEBH399dfy8PDQ0KFDrZb7nXfe0aNHjyRJly9f1tdff22y/cMPP9Qff/yhIkWKqG3btsZhBy9fvqyffvop1V5hEydO1ObNm43LTZo00WeffaYSJUqYpAsODtakSZM0ffr0XDMc26hRo0wCRBcvXtT27dvVvn37VPczGAzGz/DVV1/N8NCJY8aMMfZUS623TkrJez7Z2oMuI5KfL5JpzyUvLy+TcqQmeR7r1q3T5MmTs7agdvT777+bLOfLl88kKBwfH28SHBowYIBGjx5tNiSbwWDQ9u3b9f777yskJER///23hg8fru+//14eHh6plmH8+PHG4NCzzz6rOXPmWOztef/+fX3wwQfavn27JCkiIkIxMTEW89yyZYtmz54tSfLw8NDnn3+uNm3amKVLSEjQL7/8omnTphl7RoWEhKRaXgAAkLNsHzAZAAAAQK5hMBgUFhamixcv6scff1T37t21ZMkS43YvLy8tXbo0XUN0lSpVSosWLbIa+KhQoYIWL15s7JEUGxurqVOnWh1qKLnvv//eJDjUqVMnff7552bBISlxiKLOnTvrq6++srns6XHixAn17t1bt27dUoMGDbRq1Sqz4FBKHTp0MFnetm1bmsfZunWryXLKHkWWREdHG2+k2zJ8mbOzs+bPn6/WrVtb7MlSsGBBTZkyRQMHDjSumzt3rgICAqzm+eKLL6pjx47q2LGjGjVqZLLt6NGjWrt2rdq1a6edO3dq2rRp6t27t3r06KHJkydr5cqVFgNgUuLN/uTBoVq1amnBggVmwSEp8X9x4cKFql27tsn/dU6qU6eOmjRpYrJu/vz5xh4V1uzcuVMXLlyQm5tbqoE5PN6uXr2qLVu2mKzr3bu33N3dLabv3r27Jk+ebHG+HicnJ7Vv315Lliwxzvl29uxZLV26NNUyHDt2zNizz8nJSV988YXVoUCLFi2q2bNn29Srce7cucbXgwcPthgckhK/j1577TW9//77aeYJAAByBwJEAAAAQC7Xr18/+fj4mPxVq1ZNzz33nDp37qz33ntPZ8+eVenSpdWpUyfNnDlTv/32m809e5L06NEjzUCJu7u7xo8fb1y+du2a9uzZk+o+wcHBJvOjFChQQFOmTEmzPE2aNLG5l4St9u3bpwEDBigkJERt27bVkiVLVKBAgTT3a968ucmT+7/99luq6ZOGyksprcDS3r17FR4ernz58ql58+Zplqt+/fo23eAdM2aMcX6RuLg4rVixIs19LDl69Kjq1q2r2bNnW7yxXbNmTYtDGkZFRemzzz4zWTdlyhTlyZPH6rHy5MmjqVOnphmAyU4jR440Wb548aJ27txpNX3y3kNdu3aVl5eXXcuHnHH79m2NHj3aZD6hihUrasSIEVb3GT58eJr51qxZU507dzYur1ixItWA/IEDB4yvixUrpvLly6eav4uLiwYMGJBqmoCAAJN5jGrXrp1GqaVu3bqpcOHCaaYDAAA5jwARAAAA8IQICgrSiRMndPDgwTR7qiTXq1cvTZ48Wd27d7cp/XPPPWdyYz+tuWi+++47k6GLOnXqZPNQcV26dLEpnS1+/fVXjRw5UpGRkerZs6fmzp1r9en+lPLly6eXXnrJuHzt2jWdP3/eavpt27bJYDCoatWqJhO/b9++3WSIqZSSeh21bNlSefPmtZqucePGmjx5ssaNG2dT+fPnz6+6desal5PfSE6vCRMmWO0lJCUGUaZOnaquXbsa123atMlkqKnq1aunOTeWlNjLKDfMQZSkfv36ZoHXr7/+2moQy9fXV+fPn5erq6tNAQE8HgwGg0JDQ3Xq1CnNmTNHXbp00eXLl43by5Urp++++84s+FygQAFNnjxZH3/8cZrBmyQvvPCC8XVISIjOnj1rNe29e/eMrx88eJDqcI9Jqlevrnr16qlevXoWA7Z37941WU4aNjA1Li4uatu2rerVq6cyZcqkmR4AAOQc5iACAAAAcrkVK1aoYcOGZuvj4+MVFhamW7du6e+//9Yvv/yis2fP6ubNm1q3bp1q166t6dOnq0qVKqnm37p163SVx8XFRUWKFFFQUJCkxF4Uqdm4caPJcosWLWw+Vv369dW0aVNJSjVgkpZFixZp5syZkhIDGGPHjk13Hh06dDDO1yElBoGsBS+Shprq2rWrzp07Zwz8hISE6NChQ3rxxRfN9omIiNC+ffuMx0pNrVq1VKtWrXSVv1ixYsbXV65cUVxcnFxd09ck9PLyUr169VJN07RpU2OdJUnZ4yp5sC0tL7zwQqrBuOw2atQokwDs+fPn5evra/E8mj9/viSpc+fONgcEkLv069fP5rSurq565ZVXNGnSJIs9Ez08PNLssZNSyl6dFy5csNqLJ/mQnfHx8Zo1a1aavTW9vLxMhv9MLU8p8bu0ffv2aQb5P/roo1S3AwCA3IEeRAAAAMBjysXFRZ6enqpevbp69+6ttWvXasKECcbtp06dUo8ePXTq1Cm7HDtJapOQX7p0yeSpdknp6hFSvHhxLVmyREuWLElz+DtLDAaDPvnkE2Nw6N13381QcEhKHGYueW8ga8PF3bx50/iZd+jQwWwuoZRzEyXZvXu3IiMjVaBAgXQFUGyVvM4MBoMePnyY7jxsGV4qJYPBoJMnT5qs8/b2tnn/p59+Ot3HtKdGjRrpueeeM1mXNIxccr6+vjp37pxcXFzoPfQEcnJyUoECBeTl5aUWLVronXfe0e7du/Xxxx/bNGylrZydTW/bpPZ9mzIwu3LlSg0cOFCHDh3K8FCNlStXNhkaMTAwUF26dNH333+vsLCwDOUJAAByD3oQAQAAAE8IJycnDRo0SAEBAcYnwsPDwzVq1Cht377dJLhhyaNHj7R9+3YdPnxYFy5c0D///KPw8HCTeTUsiYqKsrrNz8/PZDlPnjwqVaqUje8oc2JjYzVp0iRt3rzZuO7+/fsZzs/Dw0PNmjUzBoZu3Lihs2fP6plnnjFJlxQAql27tsqVK6cSJUoof/78Cg8Pl5QYOIiNjTVOPp9yv9atW9s89F1sbKx+//137d27V+fPn1dgYKDCwsIUHR2d5r6RkZE2HSO50qVLp3ufoKAghYaGmqxLT2+a3DiXyciRIzVo0CDj8tmzZ7Vnzx6T3nFJQaMOHTroqaeeyu4iIotY68GZWZcuXdK2bdt08uRJXblyRQ8fPlRERESagZzUvm8bNWqk1q1ba9euXcZ1Bw8e1MGDB1WmTBm1bt1aLVq00PPPP2/zd4yTk5MmT56sMWPGGMt2584dTZs2TTNmzFDTpk3VsmVLNW/e3KSXIgAAeDwQIAIAAACeMCNGjNCaNWtMbub9+OOPGjhwoMX0cXFxWrRokb799lub5qxIj5RPu+fPnz9L87cmIiJCw4YNM5tr55tvvlGjRo3UqFGjDOXboUMHk55D27ZtsxogSuo5lCdPHrVs2VKbNm2SJD18+FAHDhxQ8+bNjfuEhYXp999/N9kvLdu3b9f06dN169atDL2XjEgryGiJpZ5K6fk/yMgx7a1p06aqU6eOTpw4YVw3f/58Y4Bo7969OnPmjJydnTVy5MgcKqXjOHLkiM1Dwfn6+qpcuXJ2LpF1AQEB+u9//6s9e/bYJf/Zs2dr2rRp+uWXX0yCTbdv39bKlSu1cuVK5c+fXy+++KJefvlltWzZ0ixYnVKbNm00e/ZsffDBBybf6VFRUdq1a5d27dolJycn1a5dW+3atVOnTp2y7UEAAACQOQwxBwAAADxhSpUqZTYsl6+vr8W0MTExGj16tObMmWMMDpUrV05TpkzRli1bdPz4cV24cMHsL/mQQ6lJOQSRpUnQ7eHzzz/XgQMHVLJkSfXo0cO4PiEhQe+8806GexI1a9bMJGCRcm6dq1ev6vz583JyclL79u2N69MaZm7nzp2KiYlR4cKFTSalt+abb77Rm2++aQwO5cuXT8OHD9fPP/+sY8eO6fz582Z19sorr6T7/abk5OSU7n0sDUOVnv+DjBwzO6QM/Jw+fdo4h1TS3EPt2rVLcw4wOA4/Pz+99tprJsGhFi1a6Ouvv9b+/ft1+vRps/N2xYoV6TqGu7u7Pv74Y61du1ZdunSxGGANDw/Xb7/9pjfffFMtW7bUDz/8oISEhFTz7dChg3bs2KGxY8da7AGYNJTkjBkz1KpVK02ePFl3795NV9kBAED2I0AEAAAAPIFS3sC7fPmyxXQLFy40uVlZp04dbdy4UX379tXTTz+d6R4/KefiSG14pKwUFRWlp556SmvWrNG0adNMhoj6559/NHHixAzNyZE3b161bNnSuBwQEKDTp08bl7ds2SJJqlu3rsqUKWNc37RpUxUsWNC47Ovrq5iYGONyUsCoTZs2aT7Nf/jwYc2ePdu4XKRIEa1du1Zvv/22ateurYIFC5rNW5KTLM3HYssQeEkyOneKvTVr1sys99j8+fO1b98+nTp1Sk5OThoxYkQOlQ65TUxMjN566y2T4PTEiRO1cOFCtWrVSqVKlbJ52DdbPPPMM/r888918OBBffnll+rUqZPF7/M7d+7ogw8+0MiRI02+kyzx9PTUyJEjtWvXLv3yyy8aOnSoxeETY2NjtW7dOnXt2lXnzp3LqrcEAADsIPe0GgAAAABkmZQ3Ai314oiOjtby5ctN1n344YdZOgxckSJFTJaT5uGxt5o1a+qHH36Ql5eXnJ2dNXPmTBUtWtS4ff/+/Vq6dGmG8u7QoYPJcsoh5yTzHkPu7u5q3bq1cTksLEz79++XlDgM36FDhyzuZ8m3335rEjQZNWqUKleunM53kX08PT3N1qVncvuMzJWUXVL2Ijp58qTeffddSYlzSfn4+GRLOdLq/ZEkq4eQzC0aNmxosaejpb+cGl5u+/btunr1qnH5mWee0RtvvGH343p4eKhdu3b64osvdPjwYeNQiCmDyHv27NGcOXNszrdWrVoaP368tm/frvXr1+uNN94wmy/s7t27GjVqVLoCwgAAIHsRIAIAAACeQCkDMZZu0p88edLkRr2Xl5eqVauWpeVImV9MTIyCgoKy9BiW/N///Z9JQKhkyZKaMWOGyXBls2fP1qlTp9Kd90svvWQSREsaZu7ChQu6fPmynJ2d1a5dO7P9rAWWduzYodjYWBUtWtSkp5Ml8fHxOnLkiMm6pHlvcqvSpUurUKFCJusCAgJs3j/lPFa5SatWrVS9enWTdf/8848k8+BRVnJ1NZ1O2NYb8A8ePLBHcWCDgwcPmiznxHmbFKheuHChNm7cqBo1aphsX716dZq9iCypXr26Jk6cqN27d2vAgAEm227dumUSRAcAALkLASIAAADgCXTjxg2T5dKlS5ulSbqRnaRkyZI25x8fH29TuqefflrFixc3Wefn52fzce7fv68NGzZow4YNxh43GfXiiy9q8ODBxuXY2FiNGzcuXb1ZpMSbrMmHmQsMDNSpU6eMw8TVr1/f4mf5wgsvmDxhv3v3bkVFRRn3a9eunVxcXFI99v379xUXF2eyztbJ4G2ts6zm5OSkZ5991mTdhQsXbN7/0qVLWV2kLGNtGLkWLVqY3XzPSinnlXn48KFN+1kbahL2d+fOHZNlW89bW3uHSYnfDzdv3rRpjrWqVatq4cKFJkNfRkZGmv2PREdH6+bNm7p582aaeebPn1+TJ082mX9Nks6cOWPjOwAAANmNABEAAADwhAkKCpK/v7/JuqZNm5qly5Mnj8myrUN5xcXFpasnQpcuXUyW9+7da/O+27Zt04QJEzRhwgTt27fP5v2seeutt1S3bl3jckBAgKZOnZrufCz1Bkp6Sj7ltiRubm4mw8xFRERo7dq1Onr0qCSpY8eOaR43ZZ1JttdbyoBgdkp5wzg9wb7Dhw9ndXGyVNu2beXt7W2yzp69h6TEeZ3y5s1rXE4ZELbkzJkzNgUOskryIcyszSMVFRWl8PBwhYeH59q5prJKynPX1uH+UgaWUjNjxgy1atVKH3zwgU3pS5UqZfJ9KMksAH3ixAm1atVKrVq1snmI0JQ9KFPmCQAAcg8CRAAAAMATZsGCBSY3W11dXc2CNJJUqVIlk+XLly/b1BPhyJEj6ZpTYuDAgSY3Rzdv3mzTsGEGg0E//fSTcblr1642H9MaV1dXzZ4926Qnz9atW02OY4sXX3zR5Mn7NWvW6Pr163JxcbE4vFySlMGjmTNnKj4+XiVLltRzzz2X5nELFSpk1iPrr7/+SnO/0NBQnThxIs109tKpUyeTz/zChQs6fvx4mvudO3dOZ8+etWPJMs/JyUnjx49X06ZN1bRpU/Xr10+1a9e26zGdnZ1NglKBgYEKDAxMdZ9ly5bZtUwpJR+G0dr3Rf/+/VWvXj3Vq1cv2+Ynyykp5wmz5f9fSl8wNcn58+dtTuvm5mZ87eTkJC8vr0zn6+7ubrKcU/M+AQCAtBEgAgAAAJ4QBoNBS5Ys0Zo1a0zWv/HGG6pSpYpZ+ipVqujpp582LsfFxenrr79O9RgxMTGaNWtWuspVsmRJTZo0ybgcGhqqTz75JM39li9fbhyOrnnz5ll2071MmTJmx//vf/+bruG3Ug4zl9QboGHDhipWrJjV/Ro1aqQiRYqY7de+fXuzSeOtadu2rcnyggULFBsbm+o+c+bMsbmnkT3kzZtXEydONFn38ccfpxpojImJ0bRp08zm28mNmjdvriVLlmjJkiV69913s+WYL730ksnyt99+azXtpk2btHnzZpUvX97exTJKHhR48OCB2dw2CQkJun79uqTEniwFChTItrLlhJTn7a5du9IMfp46dSpD8/fcuHFDO3bsSDNdSEiIsQejJNWrVy/V768lS5bYdPzkx3ZycjLpOQkAAHIXAkQAAADAYyo+Pl6PHj3S+fPn9f333+vVV1/VjBkzTNK8/vrrGjdunNU8JkyYICcnJ+PysmXLNHv2bIs37oOCgjR06FCdOXMmzblyUurdu7d69eplXN6wYYMmTZqk0NBQs7QxMTH65ptv9Nlnn0mSihUrpmnTpqXreGlp1aqV+vfvb1yOiorS22+/raioKJvzsDSU3Msvv5zqPq6urmY3im3ZL7kRI0aoUKFCxuWTJ09q9OjRunv3rlnayMhITZ8+XatWrcrxQEu3bt3UqVMn4/LZs2c1YsQIi0PfBQcHa8SIETp9+rRGjRqVncV8bHTv3l0eHh7G5TVr1ug///mPzp49q8jISEVGRurMmTN6//33NWHCBL366quqX79+tpWvUaNGxtcJCQlmQ0uuXbvWOFRlq1atsq1cOaV27dom3xnx8fEaOnSoDh48aDH93r17NWTIEJPv5/SYOHGiNm7caHUOo5s3b2rkyJHG72BXV1dNnjw51Tx3796tyZMnW+0BGhMTo3nz5mnDhg3Gdf369dNTTz2VofcAAADsz8nwpA/0CwAAAORyffv2NXmKOytUq1ZN48aNU7NmzdJMu3LlSn366aeKj483ritatKheeOEFeXl5KTY2VpcvX9ahQ4eUkJCgDz/8UAsWLLA6pNWKFSvUsGFDi9sWLVqkOXPmGOek8PDwUJMmTVShQgW5uLjo1q1bOnTokHGuFC8vLy1atMhiDyhbP7cGDRpo5cqVkhKHx+vXr1+a+0jSp59+qm7dulndHhMToyZNmujRo0eSEm+w/vHHHyY9hCw5dOiQBgwYYFwuW7asdu/ena4bwX/99ZeGDx9uPLaUOMdJ48aNVblyZbm6uiowMFAHDhxQSEiIevTooejoaG3cuNFifqNHj9aYMWMkSZMmTdKvv/5qUzm8vLy0e/dum8sdFxenSZMmadOmTcZ17u7uatq0qZ566ikZDAZdvXpVBw8eVEJCgt577z099dRTqdaZr69vpoew8vHxsSldav/btmjZsmWaQ8Eld+HChVS3//jjj3r//ffTnL/nxRdf1Ny5c/XRRx9ZrdtWrVoZexB+9dVXmjdvnk1ltHaePHr0SB07djTOoePm5qZ27dqpVKlS8vf3NwaMChcurPXr16tMmTKSbK+L9P7vWZOR79+06sWaiIgIDRs2zOx41atXV926dVWoUCE9fPhQf/31ly5evKgKFSpo6NChmjJlisX8Un4GX3zxhVlPslKlSql+/foqXbq03N3dFRoaahziMek7P3/+/Jo9e7bF34tz586pd+/eJj0Q3d3d9fzzz6tKlSrKnz+/YmJidPPmTR05csQkePTaa6/pgw8+SPcDBQAAIPvk/r76AAAAACxydnaWh4eH8uXLpxIlSqhy5cqqVq2aWrRoYTJ0XFr69u2rmjVravbs2Tpy5Igk6f79+9q8ebPJsZo0aaLx48erevXqWrBgQYbKPGTIELVt21bz5s3Trl27FBERoV27dpmlK1KkiF577TUNGzbMZC6T3MTd3V2tW7fWunXrJEmNGzdOMzgkJQasihcvbuzx0759+3T3Enjuuee0efNmzZo1S1u3blVMTIyio6O1d+9ek54a3t7e+vjjj9WmTRuTYf5yiqurq2bOnKlWrVppzpw5unbtmmJiYsxu9NetW1eTJk1SnTp1jP+TMNezZ08VKVJEM2bMUEBAgNn2vHnzqn///nrzzTezvQdZoUKFtHTpUk2YMEHnzp1TbGysyXeKlBgYmT59ujE49KTLly+fli1bppUrV2rZsmW6ffu2pMS5fZLP71OgQAENHz5cQ4YMSdccXOPHj1eXLl3066+/av/+/bp06ZKCg4O1ZcsWi+kLFy6sTp06afjw4SpRooTFNDVq1NDvv/+uTZs2ydfXV3/++aeio6N14MABHThwwCy9i4uLGjdurMGDB6tx48Y2lx0AAOQMehABAAAAMAoODtaJEyd0+/ZtRUZGqlChQsYn0AsXLpylx4qJidGJEycUEBCg+/fvy2AwqEiRIvLx8VH16tVNJk+HdWFhYTpx4oSuXbum0NBQeXh4qFixYqpTp062zjmTEX5+fjp37pzu3r2rvHnzqkSJEqpVqxaT2qdTQkKCzp49q/PnzyskJETOzs6qWLGiGjdunCvm9vHz89OZM2dMzvOaNWuqRo0aOV20HBMfH68LFy7o3LlzevDggfFzqVSpkurUqZMlAb379+/r0qVLunHjhh49eqTo6Gh5eHioSJEi8vb2lre3d7qPEx0dLX9/f125ckX37t1TRESEXFxcVKhQIVWsWFE1atSQp6dnpssOAACyBwEiAAAAAAAAAAAAB+Oc0wUAAAAAAAAAAABA9iJABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAOhgARAAAAAAAAAACAgyFABAAAAAAAAAAA4GAIEAEAAAAAAAAAADgYAkQAAAAAAAAAAAAO5v8Brw0ptMZ1NXkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1800x750 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = explainer.plot_importance(data=[results]*2, \n",
    "                                panels=[('backward_multipass', 'Random Forest'), \n",
    "                                        ('backward_multipass', 'Logistic Regression'), \n",
    "                                       ], num_vars_to_plot=10,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting Multi-pass and Single-pass Permutation Importance\n",
    "\n",
    "We can also plot results from different ranking methods. In this example, we can compare the multi-pass vs. the single-pass permutation importance for the random forest. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1800x750 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = explainer.plot_importance(data=[results]*2, \n",
    "                                panels=[('backward_singlepass', 'Random Forest'), \n",
    "                                        ('backward_multipass', 'Random Forest'), \n",
    "                                       ], num_vars_to_plot=10,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting Permutation Importance with Color Coding and Readable Feature Names\n",
    "\n",
    "To personalize your plots, you can pass a dict `display_feature_names`, which should map the feature names with a prettier, more interpretable name. Additionally, you can color code your features with `feature_colors`, which maps the stored feature names to a color (see https://i.stack.imgur.com/nCk6u.jpg for a extension map of named colors in python). To see our example of `display_feature_names` and `feature_colors`, look in [plotting_config.py](https://github.com/monte-flora/scikit-explain/blob/master/tutorial_notebooks/plotting_config.py). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": "fig = explainer.plot_importance(data = [results]*2,\n                                panels=[('backward_multipass', 'Random Forest'), \n                                        ('backward_multipass', 'Logistic Regression'), ], \n                                   )"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Annotating Correlated Features\n",
    "\n",
    "One limitation of the permutation importance method is the assumption that features are independent. If there are strong statistical or physical correlations between features, then the marginal-based shuffling of values can create unphysical/unrealistic examples, which will force the ML model to extrapolate. Correlated features can also distort the feature rankings. Therefore, there is a argument in `plot_importance` where we can annotate if any of the feature shown have a strong linear correlation. To use this, set `plot_correlated_features=True`. \n",
    "\n",
    "\n",
    "</div> <div class=\"alert alert-block alert-warning\"><b>Warning</b>: To use plot_correlated_features, explainer needs X. If you are loading saved results, then you need to pass in X. </div> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": "explainer = skexplain.ExplainToolkit(estimators,X=X, y=y,)\nfig = explainer.plot_importance(data = [results]*3,\n                                panels=[('backward_multipass', 'Random Forest'), \n                                        ('backward_multipass', 'Gradient Boosting'),\n                                        ('backward_multipass', 'Logistic Regression'), ], \n                                    plot_correlated_features=True,\n                                    rho_threshold=0.6,\n                                figsize=(13,4)\n                                   )"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, the random forest (panel a) has multiple correlated pairs ($\\rho$ > 0.6)  in the top 10 features. Additionally, we could compute the variance inflation factor to determine if features were multicollinear. If you send in `colinear_features` into `plot_importance` those features will have blue text. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting Permutation Importance for Multiple Metrics \n",
    "\n",
    "The feature ranking can be sensitive to the error metric used. We can compute the permutation importance again, but this time with Area under the Precision-Recall Curve (AUPRC; also known as Area under the Performance Diagram for meteorologists). To plot results for both metrics, set `data` to a list of both results. Also, to label each row, set the argument `ylabels`. In our case, We've set `ylabels = ['AUC', 'AUPRC']`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer = skexplain.ExplainToolkit(estimators, X=X, y=y,)\n",
    "auc_results = explainer.permutation_importance(\n",
    "                                               n_vars=10, \n",
    "                                               evaluation_fn='auc', \n",
    "                                               n_permute=5, \n",
    "                                               subsample=0.01,\n",
    "                                               n_jobs=8,\n",
    "                                              )\n",
    "explainer.save(fname='../tutorial_data/multipass_importance_auc.nc', data=auc_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": "auc_results = explainer.load(fnames='../tutorial_data/multipass_importance_auc.nc')\nfig = explainer.plot_importance(\n                                 data = [results, results, results, \n                                         auc_results, auc_results, auc_results,],\n                                panels=[('backward_multipass', 'Random Forest'), \n                                        ('backward_multipass', 'Gradient Boosting'),\n                                        ('backward_multipass', 'Logistic Regression'),\n                                        ('backward_multipass', 'Random Forest'), \n                                        ('backward_multipass', 'Gradient Boosting'),\n                                        ('backward_multipass', 'Logistic Regression'),\n                                       ],\n                                 ylabels = ['NAUPDC', 'AUC'],\n                                 figsize = (8,5), \n                                 hspace = 0.4, wspace=0.3, \n                                   )"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "</div> <div class=\"alert alert-block alert-warning\"><b>Tip</b>: Though we have tried to generalize the multipanel plotting behavior, we realize that many people will want to fidgit with stuff. The plotting functions in scikit-explain do allow for keyword args that are passed on to the underlying matplotlib functions. For example, in the plot above, we set the figsize, hspace, and wspace to improve the figure quality. </div> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are some differences, but overall the feature ranking are roughly similar. This bolsters our confidence in the feature ranking and helps triangulate the most important predictors. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparing Forward vs. Backward Multi-pass Permutation Importance\n",
    "\n",
    "Up to this point, we have analyzed backwards-based permutation importance. The backward method starts with the original, unaltered features and progressively permutes them. Conversely, we could start with all features jointly permuted and progressively un-permuting them to evaluate the increase in model performance. We call this the forward permutation importance method. The terminology is similar to the backward and forward sequential selection methods. To compute the forward permutation importance, set `direction='forward'`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "forward_results = explainer.permutation_importance(\n",
    "                                               n_vars=10, \n",
    "                                               evaluation_fn='norm_aupdc', \n",
    "                                               n_permute=5, \n",
    "                                               subsample=0.1,\n",
    "                                               n_jobs=8,\n",
    "                                               verbose=True,\n",
    "                                                random_seed=42, \n",
    "                                               direction='forward'\n",
    "                                              )\n",
    "\n",
    "# Save the permutation importance results as a netcdf file using the bulit-in function within mintpy\n",
    "explainer.save(fname='../tutorial_data/multipass_importance_forward_naupdc.nc', data=forward_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": "forward_results = explainer.load(fnames='../tutorial_data/multipass_importance_forward_naupdc.nc')\nfig = explainer.plot_importance(\n                                    data = [results]*3 + [forward_results]*3, \n                                panels=[('backward_multipass', 'Random Forest'), \n                                        ('backward_multipass', 'Gradient Boosting'),\n                                        ('backward_multipass', 'Logistic Regression'),\n                                        ('forward_multipass', 'Random Forest'), \n                                        ('forward_multipass', 'Gradient Boosting'),\n                                        ('forward_multipass', 'Logistic Regression'),\n                                       ],\n                                    ylabels = ['Backward', 'Forward'],\n                                    figsize = (8,5), \n                                    hspace = 0.2\n                                   )"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "</div> <div class=\"alert alert-block alert-warning\"><b>Note</b>: Importance in the forward method (bottom row) is based on deviation from the score when all features are jointly permuted. That score is shown as the vertical dashed line. </div> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Permutation Importance for Regression Problems"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import fetch_california_housing\n",
    "from sklearn.ensemble import RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor()"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = fetch_california_housing()\n",
    "X = data['data']\n",
    "y = data['target']\n",
    "feature_names = data['feature_names']\n",
    "model = RandomForestRegressor()\n",
    "model.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer = skexplain.ExplainToolkit(('Random Forest', model),X=X,y=y,feature_names = feature_names)\n",
    "reg_results = explainer.permutation_importance(\n",
    "                                               n_vars=8, \n",
    "                                               evaluation_fn='mse', \n",
    "                                               n_permute=10, \n",
    "                                               subsample=0.25,\n",
    "                                               n_jobs=8,\n",
    "                                               verbose=True,\n",
    "                                               random_seed=42, \n",
    "                                              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x750 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = explainer.plot_importance(data=reg_results, panels=[('backward_multipass', 'Random Forest')], \n",
    "                                num_vars_to_plot=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "References: \n",
    "\n",
    "Handler, S. L., H. D. Reeves, and A. McGovern, Development of a Probabilistic Subfreezing Road Temperature Nowcast and Forecast Using Machine Learning. Wea. Forecasting, doi: https://doi.org/10.1175/WAF-D-19-0159.1\n",
    "\n",
    "McGovern, A., R. Lagerquist, D. John Gagne, G. E. Jergensen, K. L. Elmore, C. R. Homeyer, and T. Smith, 2019: Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning. Bull. Amer. Meteor. Soc., 100, 2175–2199, https://doi.org/10.1175/BAMS-D-18-0195.1."
   ]
  }
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