Introspect Trees (Samples).ipynb

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   "cell_type": "code",
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   "metadata": {},
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   "source": [
    "%load_ext autoreload\n",
    "%autoreload 1\n",
    "\n",
    "import binarygridsearch.binarygridsearch as bgs\n",
    "%aimport binarygridsearch.binarygridsearch\n",
    "\n",
    "import pandas as pd\n",
    "from sklearn.metrics import precision_recall_curve\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "from sklearn.datasets import load_breast_cancer\n",
    "from sklearn.tree import _tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#From here: https://aysent.github.io/2015/11/08/random-forest-leaf-visualization.html\n",
    "def leaf_samples(tree, node_id = 0):\n",
    "    left_child = tree.children_left[node_id]\n",
    "    right_child = tree.children_right[node_id]\n",
    "    \n",
    "    if left_child == _tree.TREE_LEAF:\n",
    "        samples = np.array([tree.n_node_samples[node_id]])\n",
    "        \n",
    "    else:\n",
    "        \n",
    "        left_samples = leaf_samples(tree, left_child)\n",
    "        right_samples = leaf_samples(tree, right_child)\n",
    "        \n",
    "        samples = np.append(left_samples, right_samples)\n",
    "        \n",
    "    return samples\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getForestParams(X, y, param, kwargs):\n",
    "    clf = RandomForestClassifier(**kwargs)\n",
    "    clf.fit(X, y)\n",
    "    params = np.hstack([param(estimator.tree_) \n",
    "                 for estimator in clf.estimators_])\n",
    "    return {\"min\": params.min(),\n",
    "           \"max\": params.max()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = load_breast_cancer()\n",
    "X, y = data.data, data.target\n",
    "\n",
    "rfArgs = {\"random_state\": 0,\n",
    "          \"n_jobs\": -1,\n",
    "          \"class_weight\": \"balanced\",\n",
    "         \"n_estimators\": 18,\n",
    "         \"oob_score\": True}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'max': 199, 'min': 1}"
      ]
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getForestParams(X, y, leaf_samples, rfArgs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "from sklearn.metrics import auc\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "def auc_prc(estimator, X, y):\n",
    "    estimator.fit(X, y)\n",
    "    y_pred = estimator.oob_decision_function_[:, 1]\n",
    "    precision, recall, _ = precision_recall_curve(y, y_pred)\n",
    "    return auc(recall, precision)\n",
    "\n",
    "def getForestAccuracyCV(X, y, kwargs):\n",
    "    clf = RandomForestClassifier(**kwargs)\n",
    "    return np.mean(cross_val_score(clf, X, y, scoring=auc_prc, cv=5))"
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
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       "      <td>0.000052</td>\n",
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       "      <td>0.592403</td>\n",
       "      <td>0.000039</td>\n",
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       "      <td>0.817436</td>\n",
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       "      <th>4</th>\n",
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       "      <td>0.631360</td>\n",
       "      <td>0.062430</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>14</td>\n",
       "      <td>0.995105</td>\n",
       "      <td>0.263413</td>\n",
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       "      <th>7</th>\n",
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       "   min_samples_leaf     score      time  scoreTimeRatio\n",
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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "min_samples_leaf = bgs.compareValsBaseCase(X, \n",
    "                    y, \n",
    "                    getForestAccuracyCV,        \n",
    "                    rfArgs, \n",
    "                    \"min_samples_leaf\", \n",
    "                    0, \n",
    "                    1, \n",
    "                    199)\n",
    "bgs.showTimeScoreChartAndGraph(min_samples_leaf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min_samples_leaf</th>\n",
       "      <th>score</th>\n",
       "      <th>time</th>\n",
       "      <th>scoreTimeRatio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.992414</td>\n",
       "      <td>0.419546</td>\n",
       "      <td>0.066307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51</td>\n",
       "      <td>0.002084</td>\n",
       "      <td>0.039291</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26</td>\n",
       "      <td>0.980393</td>\n",
       "      <td>0.028070</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14</td>\n",
       "      <td>0.995105</td>\n",
       "      <td>0.282078</td>\n",
       "      <td>0.099636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>0.988716</td>\n",
       "      <td>0.763508</td>\n",
       "      <td>0.035612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10</td>\n",
       "      <td>0.998930</td>\n",
       "      <td>0.881747</td>\n",
       "      <td>0.030965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12</td>\n",
       "      <td>1.002084</td>\n",
       "      <td>1.028070</td>\n",
       "      <td>0.026429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   min_samples_leaf     score      time  scoreTimeRatio\n",
       "0                 1  0.992414  0.419546        0.066307\n",
       "1                51  0.002084  0.039291        0.000000\n",
       "2                26  0.980393  0.028070        1.000000\n",
       "3                14  0.995105  0.282078        0.099636\n",
       "4                 7  0.988716  0.763508        0.035612\n",
       "5                10  0.998930  0.881747        0.030965\n",
       "6                12  1.002084  1.028070        0.026429"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min_samples_leaf</th>\n",
       "      <th>score</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.981662</td>\n",
       "      <td>1.414837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51</td>\n",
       "      <td>0.506455</td>\n",
       "      <td>1.401290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26</td>\n",
       "      <td>0.975894</td>\n",
       "      <td>1.400890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14</td>\n",
       "      <td>0.982954</td>\n",
       "      <td>1.409940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>0.979888</td>\n",
       "      <td>1.427091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10</td>\n",
       "      <td>0.984789</td>\n",
       "      <td>1.431303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12</td>\n",
       "      <td>0.986302</td>\n",
       "      <td>1.436516</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   min_samples_leaf     score      time\n",
       "0                 1  0.981662  1.414837\n",
       "1                51  0.506455  1.401290\n",
       "2                26  0.975894  1.400890\n",
       "3                14  0.982954  1.409940\n",
       "4                 7  0.979888  1.427091\n",
       "5                10  0.984789  1.431303\n",
       "6                12  0.986302  1.436516"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.6.0.json",
       "config": {
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-553c06e90d6ded9ae52a09d7b05a0c20"
       },
       "datasets": {
        "data-553c06e90d6ded9ae52a09d7b05a0c20": [
         {
          "min_samples_leaf": 1,
          "value": 0.9924140660030869,
          "variable": "score"
         },
         {
          "min_samples_leaf": 51,
          "value": 0.0020839950800950213,
          "variable": "score"
         },
         {
          "min_samples_leaf": 26,
          "value": 0.9803931876485058,
          "variable": "score"
         },
         {
          "min_samples_leaf": 14,
          "value": 0.9951053867076285,
          "variable": "score"
         },
         {
          "min_samples_leaf": 7,
          "value": 0.9887161830659049,
          "variable": "score"
         },
         {
          "min_samples_leaf": 10,
          "value": 0.998930147478458,
          "variable": "score"
         },
         {
          "min_samples_leaf": 12,
          "value": 1.002083995080095,
          "variable": "score"
         },
         {
          "min_samples_leaf": 1,
          "value": 0.4195463153017204,
          "variable": "time"
         },
         {
          "min_samples_leaf": 51,
          "value": 0.03929110472521892,
          "variable": "time"
         },
         {
          "min_samples_leaf": 26,
          "value": 0.02806968193769202,
          "variable": "time"
         },
         {
          "min_samples_leaf": 14,
          "value": 0.28207825256893465,
          "variable": "time"
         },
         {
          "min_samples_leaf": 7,
          "value": 0.7635082683390529,
          "variable": "time"
         },
         {
          "min_samples_leaf": 10,
          "value": 0.8817465376388218,
          "variable": "time"
         },
         {
          "min_samples_leaf": 12,
          "value": 1.028069681937692,
          "variable": "time"
         },
         {
          "min_samples_leaf": 1,
          "value": 0.06630729249355499,
          "variable": "scoreTimeRatio"
         },
         {
          "min_samples_leaf": 51,
          "value": 0,
          "variable": "scoreTimeRatio"
         },
         {
          "min_samples_leaf": 26,
          "value": 1,
          "variable": "scoreTimeRatio"
         },
         {
          "min_samples_leaf": 14,
          "value": 0.09963627896436429,
          "variable": "scoreTimeRatio"
         },
         {
          "min_samples_leaf": 7,
          "value": 0.03561168300160711,
          "variable": "scoreTimeRatio"
         },
         {
          "min_samples_leaf": 10,
          "value": 0.030964530425026143,
          "variable": "scoreTimeRatio"
         },
         {
          "min_samples_leaf": 12,
          "value": 0.026428909337088594,
          "variable": "scoreTimeRatio"
         }
        ]
       },
       "encoding": {
        "color": {
         "field": "variable",
         "type": "nominal"
        },
        "x": {
         "field": "min_samples_leaf",
         "type": "ordinal"
        },
        "y": {
         "field": "value",
         "type": "quantitative"
        }
       },
       "mark": "line",
       "width": 400
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "min_samples_leaf = bgs.compareValsBaseCase(X, \n",
    "                    y, \n",
    "                    getForestAccuracyCV,        \n",
    "                    rfArgs, \n",
    "                    \"min_samples_leaf\", \n",
    "                    0, \n",
    "                    1, \n",
    "                    51)\n",
    "bgs.showTimeScoreChartAndGraph(min_samples_leaf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "   min_samples_leaf     score      time  scoreTimeRatio\n",
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       "1                26  0.096077  0.126764        0.201213\n",
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       "      <td>0.982954</td>\n",
       "      <td>1.397799</td>\n",
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       "      <td>0.986302</td>\n",
       "      <td>1.400193</td>\n",
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      ],
      "text/plain": [
       "   min_samples_leaf     score      time\n",
       "0                 1  0.981662  1.402538\n",
       "1                26  0.975894  1.395857\n",
       "2                14  0.982954  1.397799\n",
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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "min_samples_leaf = bgs.compareValsBaseCase(X, \n",
    "                    y, \n",
    "                    getForestAccuracyCV,        \n",
    "                    rfArgs, \n",
    "                    \"min_samples_leaf\", \n",
    "                    0, \n",
    "                    1, \n",
    "                    26)\n",
    "bgs.showTimeScoreChartAndGraph(min_samples_leaf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min_samples_leaf</th>\n",
       "      <th>score</th>\n",
       "      <th>time</th>\n",
       "      <th>scoreTimeRatio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.751424</td>\n",
       "      <td>1.059590</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14</td>\n",
       "      <td>1.101193</td>\n",
       "      <td>0.509954</td>\n",
       "      <td>0.070340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>0.270840</td>\n",
       "      <td>0.088111</td>\n",
       "      <td>0.114695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.604895</td>\n",
       "      <td>0.595379</td>\n",
       "      <td>0.014882</td>\n",
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       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>1.270840</td>\n",
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       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   min_samples_leaf     score      time  scoreTimeRatio\n",
       "0                 1  0.751424  1.059590        0.000000\n",
       "1                14  1.101193  0.509954        0.070340\n",
       "2                 7  0.270840  0.088111        0.114695\n",
       "3                 4  0.604895  0.595379        0.014882\n",
       "4                 3  1.270840  0.059590        1.000000"
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       "   min_samples_leaf     score      time\n",
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       "1                14  0.982954  1.401800\n",
       "2                 7  0.979888  1.394721\n",
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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "min_samples_leaf = bgs.compareValsBaseCase(X, \n",
    "                    y, \n",
    "                    getForestAccuracyCV,        \n",
    "                    rfArgs, \n",
    "                    \"min_samples_leaf\", \n",
    "                    0, \n",
    "                    1, \n",
    "                    14)\n",
    "bgs.showTimeScoreChartAndGraph(min_samples_leaf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:py36]",
   "language": "python",
   "name": "conda-env-py36-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}