{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "85dbb66d-4f23-4c2e-a964-34e3d573c898",
   "metadata": {},
   "source": [
    "# 🙍🏻 模型可解释性"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6931079c-3a4c-403e-b76d-62eaa4808644",
   "metadata": {},
   "source": [
    "## 壹丨特征重要性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "484ad459b21965ee",
   "metadata": {
    "ExecuteTime": {
     "start_time": "2024-09-01T08:35:33.942657Z"
    },
    "jupyter": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "from ngboost import NGBRegressor\n",
    "\n",
    "from sklearn.datasets import fetch_california_housing\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X, Y = fetch_california_housing(return_X_y=True, as_frame=True)\n",
    "X_reg_train, X_reg_test, Y_reg_train, Y_reg_test = train_test_split(X, Y, test_size=0.2)\n",
    "\n",
    "ngb = NGBRegressor(verbose=False).fit(X_reg_train, Y_reg_train)\n",
    "\n",
    "# 位置树的特征重要性\n",
    "feature_importance_loc = ngb.feature_importances_[0]\n",
    "\n",
    "# 尺度树的特征重要性\n",
    "feature_importance_scale = ngb.feature_importances_[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9f0607a1d95611d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'scale param')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MkGQ0bNgw3Rizu3gjyejZs2ea8x49etSw2WxG0aJFjQsXLqQ5jf0sXOvWrdONIS13K96kt70/+eQTc3zFihVTnSG8du2amXhn1PbLL7+cqu2EhASjcuXKZnHodvYfm48++qhx48aNVPPaewkFBgam6gFhX2bZsmXNQsOdnC3eZCQqKsqQZDzyyCOpxtl/9EkyPvroo1Tj9+3bl+6Pxw4dOhiSjGrVqqUb/52y6zNz+3qEhYWlGn/58mWz0DF58mSHcel9Xn799Vez+PbJJ5+kavOPP/4wf5Tc+YP9nyjejB8/3ixI2n9s3e7DDz80pFs9TO7s7WP/nAUFBTn8CHZWSkqK2cbQoUNTjY+JiXHoQXOn9L5/QkJCDEnGzp07nY4lM8Ube3E2Pc4Ub9IqABqGYUyZMsX88W4vZhtGzhZvIiMjDelWb4i0Cho//fST2UvuzkKJ/T2SZHz//fep5l25cqUh3eqNk1avvvTcvj2qVKmSqmhkGIbx0ksvGZKM8uXLO92uYRjG5MmT0z122fcTd3f3dHu33I0zx+b0ikf9+vUzx/fr1y/V+K1bt6a7PevXr59u0cgwbn1X5cmTx3B1dXXotejMvpecnGwUL17csNlsxubNm9OcZseOHYbNZjMCAwMdYnMmX9i1a5d5XAZgXdzzBsADKykpSX/88Ueaf7GxsZKk+Ph4/ec//5G7u7uGDBmSZjtBQUFq3bq1pMw9RalNmzaSpD179qR7z4p/wvDhw9Mcbr/uv2fPnipUqFCa03Tv3l3SrWvis3IdPDw80nxkdtOmTc3/hw8fLldXV4fxPj4+qlu3riTp0KFD6bY/atSoNJdp3xYrVqwwhxuGoZUrV0qSXn/9dXl6eqaad/jw4fL09NSVK1fS3QcGDhwoLy+vdGO6X/Xr11dgYKB+++03/f7772lOU7RoUfXp0yfV8Mcff1yPPPKIJMftdvXqVX399deSpEmTJjkVf3Z+Zux8fHzSbDswMFD9+/eX5PgeZmTlypVKSUlRqVKl1KNHj1TjCxYsqBdffFGS9OWXX2Y61vtlX49XXnlFefPmTTW+b9++KlSokG7evJnqXlV2vXr1UoECBTK97L1795r34hkxYkSq8f7+/howYECm2/X395ekNO8llBVcXV01dOjQ+2pjwIABaT6ye8iQIfLx8VFMTIw2bNhwX8vIKvZ9pFGjRmrYsGGq8ZUrV1a7du0kpb8P16lTRy1atEg1vG3btrLZbEpMTNTx48fvKb7hw4fL3d091XD79/CxY8f0008/Od2e/di5c+fODKcJCQnJZKSO7Wd0bK5fv36a2/r2Y9Qbb7yR5nxeXl6ptueJEye0fft2FS5cOM3vIenW/ZDq1q2rmzdvmveActamTZt05swZ1apVS08++WSa09StW1elS5fWlStXtHfv3jSnSS9fsH+mY2JiFB8fn6nYAPxzKN4AeGA1atRIxq0ehKn+Zs6cKenWj5ekpCSlpKSofPnyKly4cJp/9hvxnT17NtVy1qxZo44dO6p48eLy8vIybyQYFBQkSbpx44YuX778j6337by9vfXYY4+lOc5+894FCxaku941a9aUdOtGmZcuXcqyuEqWLJnm03cKFixo/l+5cuU057VPc+XKlTTHlyhRwuEmp7dr1KiRJOnvv/82b4x88uRJ82af9hsL36lQoUKqVKmSJKV7M0p7Uel+bdu2TT179lSZMmXk4+PjcHNK+zqn96P40UcfTVXwsitWrJgkx+1m//Hi7u6uZs2aORVfVnxm7qZWrVry8fFJc5z9PTx48KBTBcUff/xRkjK88bf9fXe2zaySmJhoFtPS2/c8PT1Vv359SVm/79lv8Fu6dGmzuHenJ554ItPttmrVStKtotKoUaO0c+dOJSUl3VOMaSlbtqzy589/X23Y96M75cmTx/zeu9uNZ/8p9n04vX3k9nHpxZzeccDd3f2u36l3k962LFWqlIoXL55mXIZh6JNPPlGbNm3Mm9/av+eqVasmKePinzP7/P0cm+92/PHy8lKZMmVSjXdxcTH3zdu3p/14+/fff6tIkSLpfm9GRUVJyvz3pr39n376Kd22CxcubB730mo/o3yhbNmyKlOmjM6fP6969epp4cKFOnXqVKZiBJD93HI6AADITvbk8ObNm/rjjz/uOv2dZ5xefvllLVy40Hxtf0KR/Qe0vc1r167d94+Ne5EvXz65uKRdh7eve0xMTLpPKrldVp5tK1KkSJrDby88FC5cOMNp0vsxWLRo0XSXe/u4P//8U8WLFzefeiP9/wJHWkqUKKF9+/bpzz//THP8vfR8uNOUKVP01ltvma/d3d2VN29e86z2n3/+qZSUFF27di3N+TNad3uvmtu328WLFyXdKk6l1eMoLff7mXGGM+9hcnKyrly5onz58mXYlv39vdt7m5k2s8rff/9tPv3Fmfiyet+zbxtnPzPOGjVqlPbs2aO1a9dq6tSpmjp1qry8vFS/fn116dJFvXv3vq9ealnxWXNmndPb3v+0zOzD6cWc2e+GzLjbtjxz5oxDXElJSerQoYPWrl1rDvP29lZgYKBcXFx08+ZN/fXXX+l+z0l33wfu99h8t2NUoUKF0n3yWFrHKPv3ZmJiYrZ8b9rbv379usPTsDLTfkb5gpubm5YtW6YOHTro4MGDevnllyXd2k5PPfWUXnjhhXR7/AD459DzBsBD7fYfTun10rn97/bH+65du9ZMDidMmKDo6GjduHFDf/75py5cuOBwaYuRzmNJs1t6vTCk/7/uH330kVPrnl5vlodJQkLCPc+b0bZ2xk8//aQxY8ZIunUJzdGjR3Xjxg1dunRJFy5c0IULF8wfSTm1P0n395nJSffz3v4TcnLfy2peXl5as2aNoqKiNHz4cNWqVUvJycn63//+p/79+6tKlSo6d+7cPbdvtfX9p1h9H3bWwoULtXbtWrm7u+vDDz/U+fPnFR8fr4sXL+rChQsZXi5ll9E+YMVjs/17s0GDBk59b6b1CHBn2u/Ro4dT7af1OPq7fa7q1KmjEydOaMmSJerRo4eKFy+u8+fPa/HixWrUqJFeeeWVTMUMIOtRvAHwULPf6+XixYuZTozt9xbo3bu3xo4da575tLP3arhXbm63Oj/euHEj3Wmc6TGTHvu627tRPywy+lF4+zj7mdvbz+BmtC1Onz6davqs9NVXXyklJUWNGjXShx9+qPLlyzucBb1582aWXrom/f994I8//nB6/7+fz4yznHkP3d3d07xnyZ3s75cz762bm5tTbWaVvHnzmu9xTux79h4HGV2ecj9Flvr16+u9997T7t279ddffyk8PFz58uXTiRMn0r23xj/FmX3s9u1t/z6W0v9Ovp/v44xkZh/Oru+njGR2W9qPnW+++aZeeeWVVL0s7/fYmd3H5nuR3cfbf+p47uPjo+eff16ffPKJTp8+rSNHjpj3xZo3b57WrVuXrcsHkDGKNwAeajVr1pSbm5uSkpIyfXNK+9k7+/0R7rRp06Z057X/YMvorJ/9R2R6N6c1DMO8F8K9sN8z4LvvvrvnNqzo9OnT5g+ZO23ZskXSre7h9nsxlC5dWgEBAZJu3Zg5LX/88Yd++eUXSTLvx5AZzrzfd9ufdu3a5VR3+MyoUaOGuf87e2Ph+/nMOGvPnj3pXjZgfw+rVKniVA8M+/sVFRWl5OTkNKexf1Yfe+wxhzaded/uh4eHhx599FFJ6e97CQkJ2r59u6R72/cyYm/v5MmT6f4A37p1a5YsKyAgQC+88IKmTp0qSaluyJrd2/pO9v3oTvHx8ebNXG/f3rcX9dL7Tt6zZ0+6y7NfYnMv62ePI719RPr/+3BW7yPOSG9bRkdHm8WE2+O6n2OnM7K7/XthP96ePXs2w5vtp+X2In56+4+9/d27d2d5kT8jFSpU0Ny5c82bO2f2RssAshbFGwAPNT8/P3Xs2FHSrbOAGV1nfv36dYeeBvanLxw9ejTVtDdu3FBYWFi6bdnnzegGkVWqVJEk/fbbb2nehPLzzz+/r7NsvXv3ls1m0549e7Rs2bIMp82pGy7fq2nTpqUalpSUpP/7v/+TJHXq1MkcbrPZzH3g/fffV2JiYqp5Z8yYoYSEBAUGBjp9Y9/b3f6kjrtNk9b+lJKSkulu9M7w8/NT+/btJUlvvfVWhr28bp/nXj8zzrp27Zo+/PDDVMNjYmI0f/58SdKzzz7rVFsdO3aUi4uLfvvtN33yySepxl+8eFEfffRRmm068zm9X/ZlLliwIM3lhIeH648//pCrq6s6dOiQpcuuXr26SpQoIcMw9N5776Uaf/XqVS1YsCDT7ab1GbLz9vaWlLr3yj+xrW83f/78ND+Pc+bM0bVr1xQYGKjmzZubw319fc1LR+1PaLvdr7/+muET0O5n/ez7yK5du9Is4Pz8889avXq1w7T/pPfffz/N++XYv4crVKhgHs+kjL/r/vrrL33wwQf3Fc/9HJuzS0hIiOrUqSNJGjFiRIY3Rr/zeGtfHyn9/adZs2YKDg5WQkKCRo8enWEs93I8z+gzLaX/uQbwz6J4A+Ch9+677yooKEgHDx7Uk08+qf/9739mYpWSkqJDhw5p0qRJ5pMW7Ow/4hcuXKhly5aZZ/V//vlntWrVKsOu5Paz7f/973/TvWShRIkS5pnDPn36mD0/bty4ofDwcPXr1898asa9qFSpkvk45tDQUE2YMEEXLlwwx1++fFmrV69Wu3bt9Nprr93zcv5p/v7+mjt3rsaNG6erV69KunW289lnn9WBAwfk7e2d6hGvb775pnx8fHT8+HF16NBB0dHRkm6dhZ82bZpmzJjhMF1mlStXTu7u7oqJiUn3B559f1qzZo3ef/99s+gRHR2tLl26aMuWLcqTJ0+ml303kydPVp48ebR//341bdpU27dvN8/uxsXFafny5erZs6fDPPf6mXFWQECA3nzzTX344Yfmdjh8+LDatGmjCxcuqFChQk4/wrpkyZLq27evJGnw4MH65JNPzB+a+/fvV6tWrXTt2jUVLVo0VZv2z+m2bdvu+THKdzNo0CAVKlRIV65cUatWrcxHKiclJWnRokXm5UUvv/xyuk+Eulc2m01vv/22JGnmzJkKCwszi3HHjx9X27ZtM7xpbHqqVKmit99+W3v37jW/F1NSUrR582a9+eabkqSWLVs6zGPf1l999VW2XX50u/j4eLVp00ZHjhyRdOt79cMPPzRvGD5y5EjzB6mdvTAyadIkffvtt7p586YMw9D//vc/tWjRIsObMNvXb8mSJZl+otmTTz5pPua7W7duWrt2rXmPk82bN+uZZ56RYRiqWrVqjhRvoqOj1blzZ/MJRlevXtW4ceM0b948SdK4ceMcprd/102ePFn//e9/zXXZsWOHmjZtetdCwd3cz7E5O82ePVseHh7673//q1atWmn37t3md21SUpL27t2rUaNGqXTp0g7zBQYGmvc7W7RoUZpte3h4aNasWZJu3cfuueeec+jhc+PGDW3btk0DBw5UgwYNMh37t99+q/r16ys8PNzhSVVXr17V9OnTzV6Yd36uAfzDDAB4wPTu3duQZDRq1MjpeXbs2GEUKlTIkGRIMjw8PIx8+fIZ7u7u5jBJRnR0tDnP9evXjWrVqpnj3N3dDX9/f0OS4enpaaxZs8Ycd+rUKYfl/fnnn0bevHkNSYaLi4tRuHBho0SJEkaJEiUcpouKijK8vLzMdvz8/MyY+vTpY67ruHHjHObbtGmTISlVe3dKSkoy+vXr57COgYGB5nrY/0JDQ53eloZhGCVKlDAkGZs2bXIYvmjRoru+N+ltM7v01vn2tocMGWJIMlxdXY2goCCzTRcXF+PTTz9Ns92VK1caHh4eDtvBzc3NfP38888bN2/ezHS8dr169TKnDQgIMN/v//znP4ZhGEZKSorRunVrh1gDAwPN/xcsWJDudh03bpwhyejdu3e6y2/UqJEhyVi0aFGqcevXr3d4z728vIy8efMaLi4u6e5H9/KZuRv7evTq1cto166d+bmybwdJhre3d6r1N4yM9624uDijSZMmZhuenp4O6xsUFGTs3Lkz1XyJiYlGmTJlDEmGzWYzChQoYL5vZ8+edWqdnPksbt++3QgICHDYP27fF5s3b25cu3Yt1Xzp7Q+ZkZKSYjz//PPmstzc3Mzt7e3tbSxdutQcd6f0Pou3r4ubm5uRL18+h89S6dKljd9++81hnsOHD5vr7ObmZhQtWtQoUaKE0aBBA3MaZ74/DCPjz4M9hqVLlxo+Pj7mZ/32/faZZ54xkpKSUs176dIlo2TJkg6fE3sbVatWNWbNmpVufB9//LHDfMWLFzdKlChhDB8+3Km4L1y4YFSpUsXhc5AnTx7zdfHixY3jx4+nmi+99+h297IfnTp1ylz2F198Ybi6uho2m80ICgoyXF1dzXEDBgxINe/FixeN4OBgh8+jfV0CAgKML7/8Mt19LqPvMbv7OTbfbXs583nOaHt+8803hp+fX6rv2tu3WVrrPXbsWHNcnjx5zO+h//u//3OYbuHChQ77so+PjxEUFGR+l0sySpYsmel1WrlypUN8Pj4+Dt/LkoyXX3453fkB/DPoeQMgV6hbt66OHj2qyZMnq06dOvL29taVK1fk5+enunXrauTIkdqzZ4/DjQ+9vLy0adMmDR06VMHBwZJudR1+9tlntX37drVt2zbd5eXPn1+bNm1Sx44dVaBAAf35559p3qulfv362rJli1q3bq2AgADdvHlTlStX1sKFC/Xxxx/f93q7ubnpo48+UmRkpJ577jkFBwcrPj5eiYmJKlOmjJ599ll9/PHH992N/Z82a9YshYeHq1q1akpMTFRAQIBat26tbdu26bnnnktznvbt2+vgwYPq06ePuR38/PzUrFkzLV++XEuWLEn3MarOmD9/vkaPHq2KFSsqISHBfL/j4uIk3eoFsWrVKo0bN05ly5aVq6ur3Nzc1Lp1a61fv14vvfTSPS/7bpo3b64jR45oxIgRqlSpklxcXJSUlKTy5cvrhRde0OLFi1PNcy+fGWfZbDatWLFC06dPV4UKFZSQkKB8+fLp2Wef1d69e9W4ceNMtZcnTx59//33mjdvnurVqydPT08lJCSobNmyGjJkiA4dOmRe0nA7d3d3bdy4Uc8//7yKFSumy5cvm+9bevfPuRf16tXToUOHNHjwYJUpU0Y3btwwH629YMEC/fe//72nHl/OsNlsWrx4sebPn6+qVavKzc1Nbm5u6tChg3bs2GHeyyIzVq1apVGjRql+/foqXLiwYmNj5e3trRo1amjixInav39/qsdeV6xYUevXr1erVq0UEBCgCxcu6PTp0/rtt9+yalUdNGzYUDt27FCnTp3k7u4uFxcXVa5cWf/3f/+nlStXOtyg2C5v3rzavn27+vbtq8KFCyslJUWFCxfWqFGjtH37dofLW+7Up08fffTRR6pdu7bc3Nx09uxZnT592nwM+N0UKlRIu3bt0rvvvqtq1arJxcVFKSkpqlSpkt566y0dOHBAZcuWveftcT86d+6sTZs2qWXLlrLZbPL09FStWrW0ePFizZ07N9X0BQoU0M6dO9WnTx8VKlRIKSkpCgoKUmhoqPbu3asaNWrcVzz3c2zObk8//bSOHTumUaNGqWrVqnJ3d1dsbKzy5s2rJ598UuPGjTN7g91u7Nixmjp1qh577DEZhmF+D915GdWLL76ow4cPa/DgwapYsaKkWz0oCxUqpBYtWmjq1Kn3dB+rpk2baunSperVq5cqV64sLy8vs922bdtq1apV5iWtAHKOzTBy8HmkAAA4KSIiQn369FGjRo0yvLEnrGv8+PGaMGGCevfubZlHjANILTo6WqVKlZKkf+wm0wCAjNHzBgAAAAAAwMIo3gAAAAAAAFgYxRsAAAAAAAALo3gDAAAAAABgYdywGAAAAAAAwMLoeQMAAAAAAGBhFG8AAAAAAAAsjOINAAAAAACAhVG8AQAAAAAAsDCKNwAAAAAAABZG8QYAAAAAAMDCKN4AAAAAAABYGMUbAAAAAAAAC6N4AwAAAAAAYGEUbwAAAAAAACyM4g0AAAAAAICFUbwBAAAAAACwMIo3AAAAAAAAFkbxBsADLyIiQjabTdHR0TkdCgAAQJYgvwFwO4o3AAAAAAAAFkbxBgAAAAAAwMIo3gCAhcXHx+d0CAAAAE4jdwGyB8UbAA+tuXPn6tFHH5Wnp6eKFi2qgQMH6sqVK6mm27Vrl9q0aaOgoCDlyZNHjz32mGbNmpVh2/br0Lds2aKXX35Z+fLlk7+/v3r16qXLly87TLt69Wq1bdtWRYsWlaenp8qUKaOJEyfq5s2bDtM1btxYlStX1t69e/Xkk0/Kx8dHb7755j21cfDgQTVq1Eg+Pj4qW7asvvzyS0nS5s2bVadOHXl7e6tChQrasGFDZjcrAAC50tWrVzVs2DCVLFlSnp6eKliwoFq0aKEff/zRYbq75RUHDx5UaGioSpcuLS8vLxUuXFgvvPCCLl265FQc3333nZ544gnlyZNHfn5+atu2rQ4dOnTX+chdgAcbxRsAD6Xx48dr4MCBKlq0qGbMmKFOnTppwYIFeuqpp5SUlGROt379ej355JP65ZdfNHToUM2YMUNNmjTRmjVrnFrOoEGDdPjwYY0fP169evXSsmXL1L59exmGYU4TEREhX19fvfbaa5o1a5Zq1KihsWPHatSoUanau3Tpklq3bq3HH39cM2fOVJMmTTLdxuXLl/X000+rTp06mjZtmjw9PdWtWzctX75c3bp1U5s2bfTuu+/q2rVrevbZZ3X16tXMbl4AAHKd/v37a968eerUqZPmzp2rESNGyNvbW4cPHzancSavWL9+vX799Vf16dNHH3zwgbp166bPP/9cbdq0ccgf0rJ06VK1bdtWvr6+mjp1qsaMGaNffvlFDRs2dPrGxuQuwAPKAIAH3KJFiwxJxqlTpwzDMIyLFy8aHh4exlNPPWXcvHnTnG7OnDmGJOPjjz82DMMwkpOTjVKlShklSpQwLl++7NBmSkqKU8usUaOGkZiYaA6fNm2aIclYvXq1OSw+Pj7V/C+//LLh4+Nj3LhxwxzWqFEjQ5Ixf/78VNNnto1PP/3UHHbkyBFDkuHi4mLs3LnTHL5u3TpDkrFo0aIM1xUAABhGQECAMXDgwHTHO5tXpHVM/+yzzwxJxpYtW8xhd+Y3V69eNQIDA40XX3zRYd4LFy4YAQEBqYbfidwFeLDR8wbAQ2fDhg1KTEzUsGHD5OLy/7/mXnzxRfn7+2vt2rWSpH379unUqVMaNmyYAgMDHdqw2WxOLeull16Su7u7+XrAgAFyc3PTt99+aw7z9vY2/7969ar++usvPfHEE4qPj9eRI0cc2vP09FSfPn1SLSczbfj6+qpbt27m6woVKigwMFAhISGqU6eOOdz+/6+//urUugIAkJsFBgZq165dOnfuXJrjnc0rbj+m37hxQ3/99Zfq1q0rSakuwbrd+vXrdeXKFT333HP666+/zD9XV1fVqVNHmzZtcmo9yF2AB5NbTgcAAFnt9OnTkm4d+G/n4eGh0qVLm+NPnjwpSapcufI9L6tcuXIOr319fVWkSBGHrsuHDh3S22+/rf/973+KjY11mD4mJsbhdbFixeTh4ZFqOZlp45FHHklVfAoICFBwcHCqYZJSXecOAABSmzZtmnr37q3g4GDVqFFDbdq0Ua9evVS6dGlJzucVf//9tyZMmKDPP/9cFy9edBh35zH9dsePH5ckNW3aNM3x/v7+Tq0HuQvwYKJ4AwDZ6MqVK2rUqJH8/f31zjvvqEyZMvLy8tKPP/6oN954QykpKQ7T336W6l7bcHV1TTOW9IYbd7m+HgAASF26dNETTzyhlStX6vvvv9f06dM1depUffXVV2rdunWm2tm+fbtef/11Pf744/L19VVKSopatWqV6ph+O/u4pUuXqnDhwqnGu7llzU87chfAmijeAHjolChRQpJ09OhR82yYJCUmJur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",
      "text/plain": [
       "<Figure size 1300x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "df_loc = pd.DataFrame({'feature':fetch_california_housing()['feature_names'],\n",
    "                       'importance':feature_importance_loc}) \\\n",
    "    .sort_values('importance',ascending=False)\n",
    "df_scale = pd.DataFrame({'feature':fetch_california_housing()['feature_names'],\n",
    "                         'importance':feature_importance_scale}) \\\n",
    "    .sort_values('importance',ascending=False)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(13,6))\n",
    "fig.suptitle(\"Feature importance plot for distribution parameters\", fontsize=17)\n",
    "sns.barplot(x='importance',y='feature',ax=ax1,data=df_loc, color=\"skyblue\").set_title('loc param')\n",
    "sns.barplot(x='importance',y='feature',ax=ax2,data=df_scale, color=\"skyblue\").set_title('scale param')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ba1fc3f-8b95-4435-bdcc-96426f413f1e",
   "metadata": {},
   "source": [
    "## 贰丨SHAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c50e73ae-27c5-4cee-a7bb-f8145d7770c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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e=null!==i?i.baseLanes|n:n,t.lanes=t.childLanes=1073741824,t.memoizedState={baseLanes:e,cachePool:null,transitions:null},t.updateQueue=null,Ca(Al,Ol),Ol|=e,null;t.memoizedState={baseLanes:0,cachePool:null,transitions:null},r=null!==i?i.baseLanes:n,Ca(Al,Ol),Ol|=r}else null!==i?(r=i.baseLanes|n,t.memoizedState=null):r=n,Ca(Al,Ol),Ol|=r;return wu(e,t,a,n),t.child}function Cu(e,t){var n=t.ref;(null===e&&null!==n||null!==e&&e.ref!==n)&&(t.flags|=512,t.flags|=2097152)}function Tu(e,t,n,r,a){var i=La(n)?Pa:Ma.current;return i=za(t,i),Si(t,a),n=So(e,t,n,r,i,a),r=Eo(),null===e||_u?(ai&&r&&ei(t),t.flags|=1,wu(e,t,n,a),t.child):(t.updateQueue=e.updateQueue,t.flags&=-2053,e.lanes&=~a,Hu(e,t,a))}function Mu(e,t,n,r,a){if(La(n)){var i=!0;Da(t)}else i=!1;if(Si(t,a),null===t.stateNode)Vu(e,t),Wi(t,n,r),Hi(t,n,r,a),r=!0;else if(null===e){var o=t.stateNode,u=t.memoizedProps;o.props=u;var l=o.context,s=n.contextType;s=\"object\"==typeof s&&null!==s?Ei(s):za(t,s=La(n)?Pa:Ma.current);var c=n.getDerivedStateFromProps,f=\"function\"==typeof c||\"function\"==typeof o.getSnapshotBeforeUpdate;f||\"function\"!=typeof o.UNSAFE_componentWillReceiveProps&&\"function\"!=typeof o.componentWillReceiveProps||(u!==r||l!==s)&&Vi(t,o,r,s),Pi=!1;var p=t.memoizedState;o.state=p,Ri(t,r,o,a),l=t.memoizedState,u!==r||p!==l||Na.current||Pi?(\"function\"==typeof c&&(Ii(t,n,c,r),l=t.memoizedState),(u=Pi||Bi(t,n,u,r,p,l,s))?(f||\"function\"!=typeof o.UNSAFE_componentWillMount&&\"function\"!=typeof o.componentWillMount||(\"function\"==typeof o.componentWillMount&&o.componentWillMount(),\"function\"==typeof o.UNSAFE_componentWillMount&&o.UNSAFE_componentWillMount()),\"function\"==typeof o.componentDidMount&&(t.flags|=4194308)):(\"function\"==typeof o.componentDidMount&&(t.flags|=4194308),t.memoizedProps=r,t.memoizedState=l),o.props=r,o.state=l,o.context=s,r=u):(\"function\"==typeof o.componentDidMount&&(t.flags|=4194308),r=!1)}else{o=t.stateNode,Li(e,t),u=t.memoizedProps,s=t.type===t.elementType?u:gi(t.type,u),o.props=s,f=t.pendingProps,p=o.context,l=\"object\"==typeof(l=n.contextType)&&null!==l?Ei(l):za(t,l=La(n)?Pa:Ma.current);var d=n.getDerivedStateFromProps;(c=\"function\"==typeof d||\"function\"==typeof o.getSnapshotBeforeUpdate)||\"function\"!=typeof o.UNSAFE_componentWillReceiveProps&&\"function\"!=typeof o.componentWillReceiveProps||(u!==f||p!==l)&&Vi(t,o,r,l),Pi=!1,p=t.memoizedState,o.state=p,Ri(t,r,o,a);var h=t.memoizedState;u!==f||p!==h||Na.current||Pi?(\"function\"==typeof d&&(Ii(t,n,d,r),h=t.memoizedState),(s=Pi||Bi(t,n,s,r,p,h,l)||!1)?(c||\"function\"!=typeof o.UNSAFE_componentWillUpdate&&\"function\"!=typeof o.componentWillUpdate||(\"function\"==typeof o.componentWillUpdate&&o.componentWillUpdate(r,h,l),\"function\"==typeof o.UNSAFE_componentWillUpdate&&o.UNSAFE_componentWillUpdate(r,h,l)),\"function\"==typeof o.componentDidUpdate&&(t.flags|=4),\"function\"==typeof o.getSnapshotBeforeUpdate&&(t.flags|=1024)):(\"function\"!=typeof o.componentDidUpdate||u===e.memoizedProps&&p===e.memoizedState||(t.flags|=4),\"function\"!=typeof o.getSnapshotBeforeUpdate||u===e.memoizedProps&&p===e.memoizedState||(t.flags|=1024),t.memoizedProps=r,t.memoizedState=h),o.props=r,o.state=h,o.context=l,r=s):(\"function\"!=typeof o.componentDidUpdate||u===e.memoizedProps&&p===e.memoizedState||(t.flags|=4),\"function\"!=typeof o.getSnapshotBeforeUpdate||u===e.memoizedProps&&p===e.memoizedState||(t.flags|=1024),r=!1)}return Nu(e,t,n,r,i,a)}function Nu(e,t,n,r,a,i){Cu(e,t);var o=0!=(128&t.flags);if(!r&&!o)return a&&Ra(t,n,!1),Hu(e,t,i);r=t.stateNode,bu.current=t;var u=o&&\"function\"!=typeof n.getDerivedStateFromError?null:r.render();return t.flags|=1,null!==e&&o?(t.child=Ki(t,e.child,null,i),t.child=Ki(t,null,u,i)):wu(e,t,u,i),t.memoizedState=r.state,a&&Ra(t,n,!0),t.child}function Pu(e){var t=e.stateNode;t.pendingContext?Aa(0,t.pendingContext,t.pendingContext!==t.context):t.context&&Aa(0,t.context,!1),ro(e,t.containerInfo)}function zu(e,t,n,r,a){return di(),hi(a),t.flags|=256,wu(e,t,n,r),t.child}var Lu,Ou,Au,Fu,Du={dehydrated:null,treeContext:null,retryLane:0};function Ru(e){return{baseLanes:e,cachePool:null,transitions:null}}function ju(e,t,n){var r,a=t.pendingProps,o=uo.current,u=!1,l=0!=(128&t.flags);if((r=l)||(r=(null===e||null!==e.memoizedState)&&0!=(2&o)),r?(u=!0,t.flags&=-129):null!==e&&null===e.memoizedState||(o|=1),Ca(uo,1&o),null===e)return si(t),null!==(e=t.memoizedState)&&null!==(e=e.dehydrated)?(0==(1&t.mode)?t.lanes=1:\"$!\"===e.data?t.lanes=8:t.lanes=1073741824,null):(l=a.children,e=a.fallback,u?(a=t.mode,u=t.child,l={mode:\"hidden\",children:l},0==(1&a)&&null!==u?(u.childLanes=0,u.pendingProps=l):u=Rs(l,a,0,null),e=Ds(e,a,n,null),u.return=t,e.return=t,u.sibling=e,t.child=u,t.child.memoizedState=Ru(n),t.memoizedState=Du,e):Uu(t,l));if(null!==(o=e.memoizedState)&&null!==(r=o.dehydrated))return function(e,t,n,r,a,o,u){if(n)return 256&t.flags?(t.flags&=-257,Iu(e,t,u,r=fu(Error(i(422))))):null!==t.memoizedState?(t.child=e.child,t.flags|=128,null):(o=r.fallback,a=t.mode,r=Rs({mode:\"visible\",children:r.children},a,0,null),(o=Ds(o,a,u,null)).flags|=2,r.return=t,o.return=t,r.sibling=o,t.child=r,0!=(1&t.mode)&&Ki(t,e.child,null,u),t.child.memoizedState=Ru(u),t.memoizedState=Du,o);if(0==(1&t.mode))return Iu(e,t,u,null);if(\"$!\"===a.data){if(r=a.nextSibling&&a.nextSibling.dataset)var l=r.dgst;return r=l,Iu(e,t,u,r=fu(o=Error(i(419)),r,void 0))}if(l=0!=(u&e.childLanes),_u||l){if(null!==(r=Pl)){switch(u&-u){case 4:a=2;break;case 16:a=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:a=32;break;case 536870912:a=268435456;break;default:a=0}0!==(a=0!=(a&(r.suspendedLanes|u))?0:a)&&a!==o.retryLane&&(o.retryLane=a,Ni(e,a),rs(r,e,a,-1))}return gs(),Iu(e,t,u,r=fu(Error(i(421))))}return\"$?\"===a.data?(t.flags|=128,t.child=e.child,t=Ms.bind(null,e),a._reactRetry=t,null):(e=o.treeContext,ri=sa(a.nextSibling),ni=t,ai=!0,ii=null,null!==e&&(Qa[Ya++]=Ka,Qa[Ya++]=Za,Qa[Ya++]=Ga,Ka=e.id,Za=e.overflow,Ga=t),(t=Uu(t,r.children)).flags|=4096,t)}(e,t,l,a,r,o,n);if(u){u=a.fallback,l=t.mode,r=(o=e.child).sibling;var s={mode:\"hidden\",children:a.children};return 0==(1&l)&&t.child!==o?((a=t.child).childLanes=0,a.pendingProps=s,t.deletions=null):(a=As(o,s)).subtreeFlags=14680064&o.subtreeFlags,null!==r?u=As(r,u):(u=Ds(u,l,n,null)).flags|=2,u.return=t,a.return=t,a.sibling=u,t.child=a,a=u,u=t.child,l=null===(l=e.child.memoizedState)?Ru(n):{baseLanes:l.baseLanes|n,cachePool:null,transitions:l.transitions},u.memoizedState=l,u.childLanes=e.childLanes&~n,t.memoizedState=Du,a}return e=(u=e.child).sibling,a=As(u,{mode:\"visible\",children:a.children}),0==(1&t.mode)&&(a.lanes=n),a.return=t,a.sibling=null,null!==e&&(null===(n=t.deletions)?(t.deletions=[e],t.flags|=16):n.push(e)),t.child=a,t.memoizedState=null,a}function Uu(e,t){return(t=Rs({mode:\"visible\",children:t},e.mode,0,null)).return=e,e.child=t}function Iu(e,t,n,r){return null!==r&&hi(r),Ki(t,e.child,null,n),(e=Uu(t,t.pendingProps.children)).flags|=2,t.memoizedState=null,e}function $u(e,t,n){e.lanes|=t;var r=e.alternate;null!==r&&(r.lanes|=t),ki(e.return,t,n)}function Bu(e,t,n,r,a){var i=e.memoizedState;null===i?e.memoizedState={isBackwards:t,rendering:null,renderingStartTime:0,last:r,tail:n,tailMode:a}:(i.isBackwards=t,i.rendering=null,i.renderingStartTime=0,i.last=r,i.tail=n,i.tailMode=a)}function Wu(e,t,n){var r=t.pendingProps,a=r.revealOrder,i=r.tail;if(wu(e,t,r.children,n),0!=(2&(r=uo.current)))r=1&r|2,t.flags|=128;else{if(null!==e&&0!=(128&e.flags))e:for(e=t.child;null!==e;){if(13===e.tag)null!==e.memoizedState&&$u(e,n,t);else if(19===e.tag)$u(e,n,t);else if(null!==e.child){e.child.return=e,e=e.child;continue}if(e===t)break e;for(;null===e.sibling;){if(null===e.return||e.return===t)break e;e=e.return}e.sibling.return=e.return,e=e.sibling}r&=1}if(Ca(uo,r),0==(1&t.mode))t.memoizedState=null;else switch(a){case\"forwards\":for(n=t.child,a=null;null!==n;)null!==(e=n.alternate)&&null===lo(e)&&(a=n),n=n.sibling;null===(n=a)?(a=t.child,t.child=null):(a=n.sibling,n.sibling=null),Bu(t,!1,a,n,i);break;case\"backwards\":for(n=null,a=t.child,t.child=null;null!==a;){if(null!==(e=a.alternate)&&null===lo(e)){t.child=a;break}e=a.sibling,a.sibling=n,n=a,a=e}Bu(t,!0,n,null,i);break;case\"together\":Bu(t,!1,null,null,void 0);break;default:t.memoizedState=null}return t.child}function Vu(e,t){0==(1&t.mode)&&null!==e&&(e.alternate=null,t.alternate=null,t.flags|=2)}function Hu(e,t,n){if(null!==e&&(t.dependencies=e.dependencies),Rl|=t.lanes,0==(n&t.childLanes))return null;if(null!==e&&t.child!==e.child)throw Error(i(153));if(null!==t.child){for(n=As(e=t.child,e.pendingProps),t.child=n,n.return=t;null!==e.sibling;)e=e.sibling,(n=n.sibling=As(e,e.pendingProps)).return=t;n.sibling=null}return t.child}function qu(e,t){if(!ai)switch(e.tailMode){case\"hidden\":t=e.tail;for(var n=null;null!==t;)null!==t.alternate&&(n=t),t=t.sibling;null===n?e.tail=null:n.sibling=null;break;case\"collapsed\":n=e.tail;for(var r=null;null!==n;)null!==n.alternate&&(r=n),n=n.sibling;null===r?t||null===e.tail?e.tail=null:e.tail.sibling=null:r.sibling=null}}function Qu(e){var t=null!==e.alternate&&e.alternate.child===e.child,n=0,r=0;if(t)for(var a=e.child;null!==a;)n|=a.lanes|a.childLanes,r|=14680064&a.subtreeFlags,r|=14680064&a.flags,a.return=e,a=a.sibling;else for(a=e.child;null!==a;)n|=a.lanes|a.childLanes,r|=a.subtreeFlags,r|=a.flags,a.return=e,a=a.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function Yu(e,t,n){var r=t.pendingProps;switch(ti(t),t.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Qu(t),null;case 1:case 17:return La(t.type)&&Oa(),Qu(t),null;case 3:return r=t.stateNode,ao(),Ea(Na),Ea(Ma),co(),r.pendingContext&&(r.context=r.pendingContext,r.pendingContext=null),null!==e&&null!==e.child||(fi(t)?t.flags|=4:null===e||e.memoizedState.isDehydrated&&0==(256&t.flags)||(t.flags|=1024,null!==ii&&(us(ii),ii=null))),Ou(e,t),Qu(t),null;case 5:oo(t);var a=no(to.current);if(n=t.type,null!==e&&null!=t.stateNode)Au(e,t,n,r,a),e.ref!==t.ref&&(t.flags|=512,t.flags|=2097152);else{if(!r){if(null===t.stateNode)throw Error(i(166));return Qu(t),null}if(e=no(Ji.current),fi(t)){r=t.stateNode,n=t.type;var o=t.memoizedProps;switch(r[pa]=t,r[da]=o,e=0!=(1&t.mode),n){case\"dialog\":Ur(\"cancel\",r),Ur(\"close\",r);break;case\"iframe\":case\"object\":case\"embed\":Ur(\"load\",r);break;case\"video\":case\"audio\":for(a=0;a<Fr.length;a++)Ur(Fr[a],r);break;case\"source\":Ur(\"error\",r);break;case\"img\":case\"image\":case\"link\":Ur(\"error\",r),Ur(\"load\",r);break;case\"details\":Ur(\"toggle\",r);break;case\"input\":K(r,o),Ur(\"invalid\",r);break;case\"select\":r._wrapperState={wasMultiple:!!o.multiple},Ur(\"invalid\",r);break;case\"textarea\":ae(r,o),Ur(\"invalid\",r)}for(var l in me(n,o),a=null,o)if(o.hasOwnProperty(l)){var s=o[l];\"children\"===l?\"string\"==typeof s?r.textContent!==s&&(!0!==o.suppressHydrationWarning&&Xr(r.textContent,s,e),a=[\"children\",s]):\"number\"==typeof s&&r.textContent!==\"\"+s&&(!0!==o.suppressHydrationWarning&&Xr(r.textContent,s,e),a=[\"children\",\"\"+s]):u.hasOwnProperty(l)&&null!=s&&\"onScroll\"===l&&Ur(\"scroll\",r)}switch(n){case\"input\":q(r),J(r,o,!0);break;case\"textarea\":q(r),oe(r);break;case\"select\":case\"option\":break;default:\"function\"==typeof o.onClick&&(r.onclick=Jr)}r=a,t.updateQueue=r,null!==r&&(t.flags|=4)}else{l=9===a.nodeType?a:a.ownerDocument,\"http://www.w3.org/1999/xhtml\"===e&&(e=ue(n)),\"http://www.w3.org/1999/xhtml\"===e?\"script\"===n?((e=l.createElement(\"div\")).innerHTML=\"<script><\\/script>\",e=e.removeChild(e.firstChild)):\"string\"==typeof r.is?e=l.createElement(n,{is:r.is}):(e=l.createElement(n),\"select\"===n&&(l=e,r.multiple?l.multiple=!0:r.size&&(l.size=r.size))):e=l.createElementNS(e,n),e[pa]=t,e[da]=r,Lu(e,t,!1,!1),t.stateNode=e;e:{switch(l=be(n,r),n){case\"dialog\":Ur(\"cancel\",e),Ur(\"close\",e),a=r;break;case\"iframe\":case\"object\":case\"embed\":Ur(\"load\",e),a=r;break;case\"video\":case\"audio\":for(a=0;a<Fr.length;a++)Ur(Fr[a],e);a=r;break;case\"source\":Ur(\"error\",e),a=r;break;case\"img\":case\"image\":case\"link\":Ur(\"error\",e),Ur(\"load\",e),a=r;break;case\"details\":Ur(\"toggle\",e),a=r;break;case\"input\":K(e,r),a=G(e,r),Ur(\"invalid\",e);break;case\"option\":default:a=r;break;case\"select\":e._wrapperState={wasMultiple:!!r.multiple},a=R({},r,{value:void 0}),Ur(\"invalid\",e);break;case\"textarea\":ae(e,r),a=re(e,r),Ur(\"invalid\",e)}for(o in me(n,a),s=a)if(s.hasOwnProperty(o)){var c=s[o];\"style\"===o?ge(e,c):\"dangerouslySetInnerHTML\"===o?null!=(c=c?c.__html:void 0)&&fe(e,c):\"children\"===o?\"string\"==typeof c?(\"textarea\"!==n||\"\"!==c)&&pe(e,c):\"number\"==typeof c&&pe(e,\"\"+c):\"suppressContentEditableWarning\"!==o&&\"suppressHydrationWarning\"!==o&&\"autoFocus\"!==o&&(u.hasOwnProperty(o)?null!=c&&\"onScroll\"===o&&Ur(\"scroll\",e):null!=c&&b(e,o,c,l))}switch(n){case\"input\":q(e),J(e,r,!1);break;case\"textarea\":q(e),oe(e);break;case\"option\":null!=r.value&&e.setAttribute(\"value\",\"\"+V(r.value));break;case\"select\":e.multiple=!!r.multiple,null!=(o=r.value)?ne(e,!!r.multiple,o,!1):null!=r.defaultValue&&ne(e,!!r.multiple,r.defaultValue,!0);break;default:\"function\"==typeof a.onClick&&(e.onclick=Jr)}switch(n){case\"button\":case\"input\":case\"select\":case\"textarea\":r=!!r.autoFocus;break e;case\"img\":r=!0;break e;default:r=!1}}r&&(t.flags|=4)}null!==t.ref&&(t.flags|=512,t.flags|=2097152)}return Qu(t),null;case 6:if(e&&null!=t.stateNode)Fu(e,t,e.memoizedProps,r);else{if(\"string\"!=typeof r&&null===t.stateNode)throw 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0!=(128&t.flags)?(t.lanes=n,t):((r=null!==r)!=(null!==e&&null!==e.memoizedState)&&r&&(t.child.flags|=8192,0!=(1&t.mode)&&(null===e||0!=(1&uo.current)?0===Fl&&(Fl=3):gs())),null!==t.updateQueue&&(t.flags|=4),Qu(t),null);case 4:return ao(),Ou(e,t),null===e&&Br(t.stateNode.containerInfo),Qu(t),null;case 10:return xi(t.type._context),Qu(t),null;case 19:if(Ea(uo),null===(o=t.memoizedState))return 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i,o,u,l;\"pos\"===a?(i=e[n].features[t].posyBottom,o=e[n].features[t].posyTop):(i=e[n].features[t].negyBottom,o=e[n].features[t].negyTop);for(var s=n+1;s<=r;++s)\"pos\"===a?(u=e[s].features[t].posyBottom,l=e[s].features[t].posyTop):(u=e[s].features[t].negyBottom,l=e[s].features[t].negyTop),u>i&&(i=u),l<o&&(o=l);return{top:i,bottom:o}},ee=[],te=0,ne=[\"pos\",\"neg\"];te<ne.length;te++){var re,ae=ne[te],ie=Ga(this.currUsedFeatures);try{for(ie.s();!(re=ie.n()).done;)for(var oe=re.value,ue=0,le=0,se=0,ce={top:0,bottom:0},fe=void 0;le<O-1;){for(;se<100&&le<O-1;)++le,se=t[le].xmapScaled-t[ue].xmapScaled;for(ce=J(t,oe,ue,le,ae);ce.bottom-ce.top<20&&ue<le;)++ue,ce=J(t,oe,ue,le,ae);if(se=t[le].xmapScaled-t[ue].xmapScaled,ce.bottom-ce.top>=20&&se>=100){for(;le<O-1;){if(++le,!((fe=J(t,oe,ue,le,ae)).bottom-fe.top>20)){--le;break}ce=fe}se=t[le].xmapScaled-t[ue].xmapScaled,ee.push([(t[le].xmapScaled+t[ue].xmapScaled)/2,(ce.top+ce.bottom)/2,this.props.featureNames[oe]]);var 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",
      "text/plain": [
       "<Figure size 800x470 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import shap\n",
    "shap.initjs()\n",
    "\n",
    "# 为位置树绘制SHAP图\n",
    "explainer = shap.TreeExplainer(ngb, model_output=0) # model_output = 1 是尺度树\n",
    "shap_values = explainer.shap_values(X_reg_train)\n",
    "shap.summary_plot(shap_values, X_reg_train, feature_names=fetch_california_housing()['feature_names'])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}