ModelSpecific_Tree_SHAP.ipynb

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   "source": [
    "# Tree SHAP"
   ]
  },
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   "source": [
    "## Definition and intuition"
   ]
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   "source": [
    "SHAP is the method that unifies many additive feature attribution methods, by giving a strong theoretical background inspired by coalitional game theory.\n",
    "The true feature attribution is the one one that satisfies two important criteria : \n",
    "* Local accuracy: the sum of all feature attributions is the value predicted by the model \n",
    "* Consistency: When we change the model such that it relies more on a certain feature then the attributed importance for that feature should not decrease  \n",
    "\n",
    "With these two properties we can have a theoretical guarantee on the uniqueness of the feature attribution value, the shapely value.  \n",
    "For trees there is a heuristic method called TreeInterpreter ([see notebook](treeinterpreter.ipynb))  \n",
    "But is has been shown (Interpretable Machine Learning with XGBoost(https://towardsdatascience.com/interpretable-machine-learning-with-xgboost-9ec80d148d27)) that this method is inconsistent.  \n",
    "So tree SHAP comes to adapt this method in order to find the shapely values and respect the two feature attribution properties.\n",
    "It basically looks at all possible subsets of features and computes the expected value for each subset, and then gives the traditional Shapely value"
   ]
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   "metadata": {
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     "id": "79b85851-af3e-498c-952d-74a873546f67"
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   "source": [
    "## Interpretability with tree SHAP"
   ]
  },
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   "source": [
    "### Characteristics \n",
    "* Model-specific: This method is specific to tree based models (decision trees, random forest, XGBoost...) \n",
    "* Local: we explain the decision for a single sample  \n",
    "\n",
    "NB: If we compute mean(|tree_shap|) this gives us global interpretability that is more consistent than gain or split based feature importance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "id": "182ccab7-7b98-4778-b02a-8add158d73bc"
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   },
   "source": [
    "## Importations\n",
    "The implementation of SHAP used in this notebook is from the implementation of one of the creators ([see on GitHub](https://github.com/slundberg/shap))"
   ]
  },
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   "source": [
    "# specific importations to SHAP\n",
    "import shap\n",
    "\n",
    "# Importing black box models\n",
    "from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "# import datasets\n",
    "from mlinutils.datasets import Bikes, Loans\n",
    "\n",
    "import mlinutils.sanity as san"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#  make plot outputs appear and be stored within the notebook\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "d2e70268-b329-4bee-8f4c-2e4c72ee37e0"
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   },
   "source": [
    "## The datasets we're using "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "id": "4577bd25-b53e-4dee-a521-d6f40af650df"
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   "source": [
    "### Data description\n",
    "The full description of the Datasets that are used in this entire collection of notebooks is available separately \n",
    "* Bike sharing: Daily counts of bike rentals from bike sharing along with weather and seasonal information. <a href=\"bike_sharing_dataset.ipynb\">See bike sharing dataset exploration</a>.\n",
    "* Lending club: information on users and wether or not they default on their payments from a peer to peer lending online service <a href=\"lending_club_dataset\">see lending club dataset exploration</a> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "e190fcc2-f632-473e-b9e3-044d6e9a2111"
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   },
   "source": [
    "### Data importation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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     "id": "506024d8-4d9c-479e-8086-82c3925d82c4"
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   "outputs": [],
   "source": [
    "# Importing bike sharing and lending club data set\n",
    "bikes = Bikes()\n",
    "bk_X_train, bk_X_test, bk_y_train, bk_y_test = bikes.load()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "12095ad9-7ce6-4358-9a25-db4f944a1bf0"
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   },
   "source": [
    "### Data preview\n",
    "Take a peak into the data we'll be using !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
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     "id": "25d57547-9841-4e84-9dff-49c8df72e29d"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This dataset contains 17379 instances with 14 attributes\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>hour</th>\n",
       "      <th>holiday</th>\n",
       "      <th>week_day</th>\n",
       "      <th>working_day</th>\n",
       "      <th>weather_situation</th>\n",
       "      <th>temperature</th>\n",
       "      <th>felt_temperature</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>count</th>\n",
       "      <th>days_since_2011</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5878</th>\n",
       "      <td>fall</td>\n",
       "      <td>0.0</td>\n",
       "      <td>September</td>\n",
       "      <td>6am-10am</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bad</td>\n",
       "      <td>24.60</td>\n",
       "      <td>27.275</td>\n",
       "      <td>88.0</td>\n",
       "      <td>8.9981</td>\n",
       "      <td>66.0</td>\n",
       "      <td>249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10992</th>\n",
       "      <td>summer</td>\n",
       "      <td>1.0</td>\n",
       "      <td>April</td>\n",
       "      <td>9pm-5am</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Good</td>\n",
       "      <td>16.40</td>\n",
       "      <td>20.455</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>463.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12633</th>\n",
       "      <td>summer</td>\n",
       "      <td>1.0</td>\n",
       "      <td>June</td>\n",
       "      <td>11am-4pm</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Good</td>\n",
       "      <td>29.52</td>\n",
       "      <td>32.575</td>\n",
       "      <td>39.0</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>376.0</td>\n",
       "      <td>531.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8834</th>\n",
       "      <td>spring</td>\n",
       "      <td>1.0</td>\n",
       "      <td>January</td>\n",
       "      <td>9pm-5am</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Good</td>\n",
       "      <td>10.66</td>\n",
       "      <td>13.635</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.0015</td>\n",
       "      <td>58.0</td>\n",
       "      <td>372.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14368</th>\n",
       "      <td>fall</td>\n",
       "      <td>1.0</td>\n",
       "      <td>August</td>\n",
       "      <td>9pm-5am</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Good</td>\n",
       "      <td>26.24</td>\n",
       "      <td>28.790</td>\n",
       "      <td>83.0</td>\n",
       "      <td>8.9981</td>\n",
       "      <td>166.0</td>\n",
       "      <td>603.0</td>\n",
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       "       season  year      month      hour  holiday   week_day  working_day  \\\n",
       "5878     fall   0.0  September  6am-10am      0.0  Wednesday          1.0   \n",
       "10992  summer   1.0      April   9pm-5am      0.0     Sunday          0.0   \n",
       "12633  summer   1.0       June  11am-4pm      0.0     Friday          1.0   \n",
       "8834   spring   1.0    January   9pm-5am      0.0     Sunday          0.0   \n",
       "14368    fall   1.0     August   9pm-5am      0.0     Sunday          0.0   \n",
       "\n",
       "      weather_situation  temperature  felt_temperature  humidity  wind_speed  \\\n",
       "5878                Bad        24.60            27.275      88.0      8.9981   \n",
       "10992              Good        16.40            20.455      40.0      0.0000   \n",
       "12633              Good        29.52            32.575      39.0     12.9980   \n",
       "8834               Good        10.66            13.635      60.0      7.0015   \n",
       "14368              Good        26.24            28.790      83.0      8.9981   \n",
       "\n",
       "       count  days_since_2011  \n",
       "5878    66.0            249.0  \n",
       "10992    7.0            463.0  \n",
       "12633  376.0            531.0  \n",
       "8834    58.0            372.0  \n",
       "14368  166.0            603.0  "
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   ],
   "source": [
    "bikes.preview()"
   ]
  },
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   "metadata": {
    "nbpresent": {
     "id": "6f6b8e05-c569-4109-b13a-e99395c18720"
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   },
   "source": [
    "## Application"
   ]
  },
  {
   "cell_type": "markdown",
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     "id": "e275195f-e96c-42a2-8f1c-486ac93269cd"
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   "source": [
    "### Plan\n",
    "The tree based model that we are going to explain is random forests for both regression (bike sharing) and classification (lending club) task:\n",
    "* <a href=#reg>Regression with Bike Sharing</a>\n",
    "    * <a href=#regm> Model creation and sanity checks</a>\n",
    "    * <a href=#rege> Explanation </a>\n",
    "* <a href=#clf>Classification with Lending Club</a>\n",
    "    * <a href=#clfm> Model creation and sanity checks </a>\n",
    "    * <a href=#clfe> Explanation </a>\n",
    "* <a href=#conc>Conclusion</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "a7c2659e-de1f-4f7f-87a5-5e8f37109ba5"
    }
   },
   "source": [
    "### Regression with Bike Sharing <a name=reg>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "78d3b9bd-f25c-4cb1-9aa4-d7e412f8e70c"
    }
   },
   "source": [
    "#### Model creation and sanity checks <a name=regm>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "nbpresent": {
     "id": "3adbff60-66ff-402f-b19a-35bae4fe6d24"
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   },
   "outputs": [],
   "source": [
    "bike_rf = RandomForestRegressor(n_estimators=300, max_depth=12, max_features=\"sqrt\", random_state=22)\n",
    "bike_rf = bike_rf.fit(bk_X_train, bk_y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "san.regression_sanity_check(bike_rf, bk_X_train, bk_X_test, bk_y_train, bk_y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "97447658-ff27-4599-8173-4f9ebcc104fe"
    }
   },
   "source": [
    "#### Explanation <a name=rege>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "nbpresent": {
     "id": "3a4853de-b233-4aed-bbef-10aa19f89969"
    }
   },
   "outputs": [],
   "source": [
    "bikes_tree_explainer = shap.TreeExplainer(bike_rf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>season</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>hour</th>\n",
       "      <th>holiday</th>\n",
       "      <th>week_day</th>\n",
       "      <th>working_day</th>\n",
       "      <th>weather_situation</th>\n",
       "      <th>temperature</th>\n",
       "      <th>felt_temperature</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>count</th>\n",
       "      <th>days_since_2011</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16133</th>\n",
       "      <td>winter</td>\n",
       "      <td>1.0</td>\n",
       "      <td>November</td>\n",
       "      <td>9pm-5am</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Good</td>\n",
       "      <td>13.12</td>\n",
       "      <td>16.665</td>\n",
       "      <td>81.0</td>\n",
       "      <td>6.0032</td>\n",
       "      <td>162.0</td>\n",
       "      <td>678.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       season  year     month     hour  holiday week_day  working_day  \\\n",
       "16133  winter   1.0  November  9pm-5am      0.0   Friday          1.0   \n",
       "\n",
       "      weather_situation  temperature  felt_temperature  humidity  wind_speed  \\\n",
       "16133              Good        13.12            16.665      81.0      6.0032   \n",
       "\n",
       "       count  days_since_2011  \n",
       "16133  162.0            678.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_bike = bk_X_test.iloc[55]\n",
    "\n",
    "## recovers the original format just for reading convenience\n",
    "bikes.data.iloc[[sample_bike.name],:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_bike_shap_values = bikes_tree_explainer.shap_values(sample_bike)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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C=this.hoverGroup1.selectAll(\".neg-values\").data(p);C.enter().append(\"text\").attr(\"class\",\"neg-values\").merge(C).attr(\"x\",r.xmapScaled+5).attr(\"y\",function(t){return 4+(t.negyTop+t.negyBottom)/2}).attr(\"text-anchor\",\"start\").attr(\"font-size\",12).attr(\"stroke\",\"#fff\").attr(\"fill\",\"#fff\").attr(\"stroke-width\",\"4\").attr(\"stroke-linejoin\",\"round\").attr(\"opacity\",1).text(b),C.exit().remove();var M=this.hoverGroup2.selectAll(\".neg-values\").data(p);M.enter().append(\"text\").attr(\"class\",\"neg-values\").merge(M).attr(\"x\",r.xmapScaled+5).attr(\"y\",function(t){return 4+(t.negyTop+t.negyBottom)/2}).attr(\"text-anchor\",\"start\").attr(\"font-size\",12).attr(\"fill\",this.colors[1]).text(b),M.exit().remove()}}},{key:\"draw\",value:function(){var t=this;if(this.props.explanations&&0!==this.props.explanations.length){(0,y.each)(this.props.explanations,function(t,e){return t.origInd=e});var e={},n={},r={},i=!0,o=!1,a=void 0;try{for(var 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t.props.featureNames[e]})),p=this.xlabel.selectAll(\"option\").data(f);p.enter().append(\"option\").merge(p).attr(\"value\",function(t){return t}).text(function(t){return t}),p.exit().remove();var h=this.props.outNames[0]?this.props.outNames[0]:\"model output value\";f=(0,y.map)(this.usedFeatures,function(e){return[t.props.featureNames[e],t.props.featureNames[e]+\" effects\"]}),f.unshift([\"model output value\",h]);var d=this.ylabel.selectAll(\"option\").data(f);d.enter().append(\"option\").merge(d).attr(\"value\",function(t){return t[0]}).text(function(t){return t[1]}),d.exit().remove(),this.ylabel.style(\"top\",(this.height-10-this.topOffset)/2+this.topOffset+\"px\").style(\"left\",10-this.ylabel.node().offsetWidth/2+\"px\"),this.internalDraw()}}},{key:\"internalDraw\",value:function(){var t=this,e=!0,n=!1,r=void 0;try{for(var i,o=this.props.explanations[Symbol.iterator]();!(e=(i=o.next()).done);e=!0){var a=i.value,c=!0,s=!1,l=void 0;try{for(var f,p=this.usedFeatures[Symbol.iterator]();!(c=(f=p.next()).done);c=!0){var h=f.value;a.features.hasOwnProperty(h)||(a.features[h]={effect:0,value:0}),a.features[h].ind=h}}catch(t){s=!0,l=t}finally{try{!c&&p.return&&p.return()}finally{if(s)throw l}}}}catch(t){n=!0,r=t}finally{try{!e&&o.return&&o.return()}finally{if(n)throw r}}var d=void 0,g=this.xlabel.node().value;if(\"sample order by similarity\"===g)d=(0,y.sortBy)(this.props.explanations,function(t){return t.simIndex}),(0,y.each)(d,function(t,e){return t.xmap=e});else if(\"sample order by output value\"===g)d=(0,y.sortBy)(this.props.explanations,function(t){return-t.outValue}),(0,y.each)(d,function(t,e){return t.xmap=e});else if(\"original sample ordering\"===g)d=(0,y.sortBy)(this.props.explanations,function(t){return t.origInd}),(0,y.each)(d,function(t,e){return t.xmap=e});else{var m=function(){var e=(0,y.findKey)(t.props.featureNames,function(t){return t===g});(0,y.each)(t.props.explanations,function(t,n){return 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t.xmap});this.xscale.domain([(0,y.min)(M),(0,y.max)(M)]).range([this.leftOffset,C]).clamp(!0),this.xaxisElement.attr(\"transform\",\"translate(0,\"+this.topOffset+\")\").call(this.xaxis);for(var k=0;k<this.currExplanations.length;++k)this.currExplanations[k].xmapScaled=this.xscale(this.currExplanations[k].xmap);for(var E=d.length,T=0,S=0;S<E;++S){var N=d[S].features,A=(0,y.sum)((0,y.map)((0,y.filter)(N,function(t){return t.effect>0}),function(t){return t.effect}))||0,P=(0,y.sum)((0,y.map)((0,y.filter)(N,function(t){return t.effect<0}),function(t){return-t.effect}))||0;T=Math.max(T,2.2*Math.max(A,P))}this.yscale.domain([-T/2,T/2]).range([this.height-10,this.topOffset]),this.yaxisElement.attr(\"transform\",\"translate(\"+this.leftOffset+\",0)\").call(this.yaxis);for(var O=0;O<E;++O){var I=d[O].features,D=((0,y.sum)((0,y.map)(I,function(t){return Math.abs(t.effect)})),(0,y.sum)((0,y.map)((0,y.filter)(I,function(t){return t.effect<0}),function(t){return-t.effect}))||0),R=-D,L=void 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e=(0,y.map)((0,y.range)(E),function(e){return[d[e].xmapScaled,d[e].features[t].posyTop]}),n=(0,y.map)((0,y.rangeRight)(E),function(e){return[d[e].xmapScaled,d[e].features[t].posyBottom]});return G(e.concat(n))}).attr(\"fill\",this.colors[0]),$.exit().remove();var X=this.mainGroup.selectAll(\".force-bar-array-area-neg\").data(this.currUsedFeatures);X.enter().append(\"path\").attr(\"class\",\"force-bar-array-area-neg\").merge(X).attr(\"d\",function(t){var e=(0,y.map)((0,y.range)(E),function(e){return[d[e].xmapScaled,d[e].features[t].negyTop]}),n=(0,y.map)((0,y.rangeRight)(E),function(e){return[d[e].xmapScaled,d[e].features[t].negyBottom]});return G(e.concat(n))}).attr(\"fill\",this.colors[1]),X.exit().remove();var Z=this.mainGroup.selectAll(\".force-bar-array-divider-pos\").data(this.currUsedFeatures);Z.enter().append(\"path\").attr(\"class\",\"force-bar-array-divider-pos\").merge(Z).attr(\"d\",function(t){var 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n.childContextTypes?u(\"107\",this.getName()||\"ReactCompositeComponent\"):void 0;for(var i in e)i in n.childContextTypes?void 0:u(\"108\",this.getName()||\"ReactCompositeComponent\",i);return c({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?v.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o?u(\"136\",this.getName()||\"ReactCompositeComponent\"):void 0;var a,c=!1;this._context===i?a=o.context:(a=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,a);var f=this._processPendingState(l,a),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,a):this._compositeType===_.PureClass&&(p=!y(s,l)||!y(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,a,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=a)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=c({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var u=r[a];c(o,\"function\"==typeof u?u.call(n,o,t,e):u)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(m(r,i))v.receiveComponent(n,i,t,this._processChildContext(e));else{var a=v.getHostNode(n);v.unmountComponent(n,!1);var u=d.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){l.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t,e=this._instance;return t=e.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==_.StatelessFunctional){f.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{f.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||t===!1||s.isValidElement(t)?void 0:u(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n?u(\"110\"):void 0;var r=e.getPublicInstance(),i=n.refs===g?n.refs={}:n.refs;i[t]=r},detachRef:function(t){var e=this.getPublicInstance().refs;delete e[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===_.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=x},function(t,e,n){\"use strict\";var r=n(4),i=n(358),o=n(163),a=n(24),u=n(12),c=n(371),s=n(387),l=n(167),f=n(395);n(1);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&(G[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML?v(\"137\",t._tag,t._currentElement._owner?\" Check the render method of \"+t._currentElement._owner.getName()+\".\":\"\"):void 0),null!=e.dangerouslySetInnerHTML&&(null!=e.children?v(\"60\"):void 0,\"object\"==typeof e.dangerouslySetInnerHTML&&V in e.dangerouslySetInnerHTML?void 0:v(\"61\")),null!=e.style&&\"object\"!=typeof e.style?v(\"62\",r(t)):void 0)}function o(t,e,n,r){if(!(r instanceof I)){var i=t._hostContainerInfo,o=i._node&&i._node.nodeType===H,u=o?i._node:i._ownerDocument;F(e,u),r.getReactMountReady().enqueue(a,{inst:t,registrationName:e,listener:n})}}function a(){var t=this;C.putListener(t.inst,t.registrationName,t.listener)}function u(){var t=this;S.postMountWrapper(t)}function c(){var t=this;P.postMountWrapper(t)}function s(){var t=this;N.postMountWrapper(t)}function l(){var t=this;t._rootNodeID?void 0:v(\"63\");var e=U(t);switch(e?void 0:v(\"64\"),t._tag){case\"iframe\":case\"object\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"video\":case\"audio\":t._wrapperState.listeners=[];for(var n in q)q.hasOwnProperty(n)&&t._wrapperState.listeners.push(k.trapBubbledEvent(n,q[n],e));break;case\"source\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e),k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topReset\",\"reset\",e),k.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function f(){A.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),y=n(332),m=n(334),_=n(20),b=n(81),x=n(21),w=n(156),C=n(22),M=n(82),k=n(51),E=n(157),T=n(4),S=n(351),N=n(352),A=n(158),P=n(355),O=(n(10),n(364)),I=n(369),D=(n(9),n(54)),R=(n(0),n(93),n(79),n(95),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,X={},Z={}.hasOwnProperty,Q=1;d.displayName=\"ReactDOMComponent\",d.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=Q++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(l,this);break;case\"input\":S.mountWrapper(this,o,e),o=S.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"option\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o);break;case\"select\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o),t.getReactMountReady().enqueue(l,this)}i(this,o);var a,f;null!=e?(a=e._namespaceURI,f=e._tag):n._tag&&(a=n._namespaceURI,f=n._tag),(null==a||a===b.svg&&\"foreignobject\"===f)&&(a=b.html),a===b.html&&(\"svg\"===this._tag?a=b.svg:\"math\"===this._tag&&(a=b.mathml)),this._namespaceURI=a;var p;if(t.useCreateElement){var h,d=n._ownerDocument;if(a===b.html)if(\"script\"===this._tag){var v=d.createElement(\"div\"),g=this._currentElement.type;v.innerHTML=\"<\"+g+\"></\"+g+\">\",h=v.removeChild(v.firstChild)}else h=o.is?d.createElement(this._currentElement.type,o.is):d.createElement(this._currentElement.type);else h=d.createElementNS(a,this._currentElement.type);T.precacheNode(this,h),this._flags|=R.hasCachedChildNodes,this._hostParent||w.setAttributeForRoot(h),this._updateDOMProperties(null,o,t);var m=_(h);this._createInitialChildren(t,o,r,m),p=m}else{var x=this._createOpenTagMarkupAndPutListeners(t,o),C=this._createContentMarkup(t,o,r);p=!C&&Y[this._tag]?x+\"/>\":x+\">\"+C+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return p},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(j.hasOwnProperty(r))i&&o(this,r,i,t);else{r===W&&(i&&(i=this._previousStyleCopy=g({},e.style)),i=m.createMarkupForStyles(i,this));var a=null;null!=this._tag&&h(this._tag,e)?z.hasOwnProperty(r)||(a=w.createMarkupForCustomAttribute(r,i)):a=w.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+w.createMarkupForRoot()),n+=\" \"+w.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=D(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return K[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&_.queueHTML(r,i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&_.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)_.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=S.getHostProps(this,o),a=S.getHostProps(this,a);break;case\"option\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"select\":o=A.getHostProps(this,o),a=A.getHostProps(this,a);break;case\"textarea\":o=P.getHostProps(this,o),a=P.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":S.updateWrapper(this);break;case\"textarea\":P.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(f,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(r===W){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else j.hasOwnProperty(r)?t[r]&&L(this,r):h(this._tag,t)?z.hasOwnProperty(r)||w.deleteValueForAttribute(U(this),r):(x.properties[r]||x.isCustomAttribute(r))&&w.deleteValueForProperty(U(this),r);for(r in e){var c=e[r],s=r===W?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(r===W)if(c?c=this._previousStyleCopy=g({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(j.hasOwnProperty(r))c?o(this,r,c,n):s&&L(this,r);else if(h(this._tag,e))z.hasOwnProperty(r)||w.setValueForAttribute(U(this),r,c);else if(x.properties[r]||x.isCustomAttribute(r)){var l=U(this);null!=c?w.setValueForProperty(l,r,c):w.deleteValueForProperty(l,r)}}a&&m.setValueForStyles(U(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=B[typeof t.children]?t.children:null,o=B[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return U(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"html\":case\"head\":case\"body\":v(\"66\",this._tag)}this.unmountChildren(t),T.uncacheNode(this),C.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return U(this)}},g(d.prototype,d.Mixin,O.Mixin),t.exports=d},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(95),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" \";if(t.useCreateElement){var c=n._ownerDocument,s=c.createComment(u);return o.precacheNode(this,s),i(s)}return t.renderToStaticMarkup?\"\":\"<!--\"+u+\"-->\"},receiveComponent:function(){},getHostNode:function(){return o.getNodeFromInstance(this)},unmountComponent:function(){o.uncacheNode(this)}}),t.exports=a},function(t,e,n){\"use strict\";var r={useCreateElement:!0,useFiber:!1};t.exports=r},function(t,e,n){\"use strict\";var r=n(80),i=n(4),o={dangerouslyProcessChildrenUpdates:function(t,e){var n=i.getNodeFromInstance(t);r.processUpdates(n,e)}};t.exports=o},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&f.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=c.executeOnChange(e,t);l.asap(r,this);var i=e.name;if(\"radio\"===e.type&&null!=i){for(var a=s.getNodeFromInstance(this),u=a;u.parentNode;)u=u.parentNode;for(var f=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<f.length;p++){var h=f[p];if(h!==a&&h.form===a.form){var d=s.getInstanceFromNode(h);d?void 0:o(\"90\"),l.asap(r,d)}}}return n}var o=n(2),a=n(3),u=n(156),c=n(84),s=n(4),l=n(12),f=(n(0),n(1),{getHostProps:function(t,e){var n=c.getValue(e),r=c.getChecked(e),i=a({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange});return i},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&u.setValueForProperty(s.getNodeFromInstance(t),\"checked\",n||!1);var r=s.getNodeFromInstance(t),i=c.getValue(e);if(null!=i){var o=\"\"+i;o!==r.value&&(r.value=o)}else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=s.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=f},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(158),c=(n(1),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){var n=a.getNodeFromInstance(t);n.setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length,a=o+r;return{start:o,end:a}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(392),l=n(168),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(2),i=n(3),o=n(80),a=n(20),u=n(4),c=n(54),s=(n(0),n(95),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \",s=\" /react-text \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var l=n._ownerDocument,f=l.createComment(o),p=l.createComment(s),h=a(l.createDocumentFragment());return a.queueChild(h,a(f)),this._stringText&&a.queueChild(h,a(l.createTextNode(this._stringText))),a.queueChild(h,a(p)),u.precacheNode(this,f),\n",
       "this._closingComment=p,h}var d=c(this._stringText);return t.renderToStaticMarkup?d:\"<!--\"+o+\"-->\"+d+\"<!--\"+s+\"-->\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n?r(\"67\",this._domID):void 0,8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(2),a=n(3),u=n(84),c=n(4),s=n(12),l=(n(0),n(1),{getHostProps:function(t,e){null!=e.dangerouslySetInnerHTML?o(\"91\"):void 0;var n=a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange});return n},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a?o(\"92\"):void 0,Array.isArray(c)&&(c.length<=1?void 0:o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t?void 0:c(\"33\"),\"_hostNode\"in e?void 0:c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in t?void 0:c(\"35\"),\"_hostNode\"in e?void 0:c(\"35\");for(;e;){if(e===t)return!0;e=e._hostParent}return!1}function o(t){return\"_hostNode\"in t?void 0:c(\"36\"),t._hostParent}function a(t,e,n){for(var r=[];t;)r.push(t),t=t._hostParent;var i;for(i=r.length;i-- >0;)e(r[i],\"captured\",n);for(i=0;i<r.length;i++)e(r[i],\"bubbled\",n)}function u(t,e,n,i,o){for(var a=t&&e?r(t,e):null,u=[];t&&t!==a;)u.push(t),t=t._hostParent;for(var c=[];e&&e!==a;)c.push(e),e=e._hostParent;var s;for(s=0;s<u.length;s++)n(u[s],\"bubbled\",i);for(s=c.length;s-- >0;)n(c[s],\"captured\",o)}var c=n(2);n(0);t.exports={isAncestor:i,getLowestCommonAncestor:r,getParentInstance:o,traverseTwoPhase:a,traverseEnterLeave:u}},function(t,e,n){\"use strict\";function r(){this.reinitializeTransaction()}var i=n(3),o=n(12),a=n(53),u=n(9),c={initialize:u,close:function(){p.isBatchingUpdates=!1}},s={initialize:u,close:o.flushBatchedUpdates.bind(o)},l=[s,c];i(r.prototype,a,{getTransactionWrappers:function(){return l}});var f=new r,p={isBatchingUpdates:!1,batchedUpdates:function(t,e,n,r,i,o){var a=p.isBatchingUpdates;return p.isBatchingUpdates=!0,a?t(e,n,r,i,o):f.perform(t,null,e,n,r,i,o)}};t.exports=p},function(t,e,n){\"use strict\";function r(){C||(C=!0,m.EventEmitter.injectReactEventListener(y),m.EventPluginHub.injectEventPluginOrder(u),m.EventPluginUtils.injectComponentTree(p),m.EventPluginUtils.injectTreeTraversal(d),m.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),m.HostComponent.injectGenericComponentClass(f),m.HostComponent.injectTextComponentClass(v),m.DOMProperty.injectDOMPropertyConfig(i),m.DOMProperty.injectDOMPropertyConfig(s),m.DOMProperty.injectDOMPropertyConfig(b),m.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),m.Updates.injectReconcileTransaction(_),m.Updates.injectBatchingStrategy(g),m.Component.injectEnvironment(l))}var i=n(331),o=n(333),a=n(335),u=n(337),c=n(338),s=n(341),l=n(343),f=n(346),p=n(4),h=n(348),d=n(356),v=n(354),g=n(357),y=n(361),m=n(362),_=n(367),b=n(372),x=n(373),w=n(374),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof 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v={_enabled:!0,_handleTopLevel:null,WINDOW_HANDLE:s.canUseDOM?window:null,setHandleTopLevel:function(t){v._handleTopLevel=t},setEnabled:function(t){v._enabled=!!t},isEnabled:function(){return v._enabled},trapBubbledEvent:function(t,e,n){return n?c.listen(n,e,v.dispatchEvent.bind(null,t)):null},trapCapturedEvent:function(t,e,n){return n?c.capture(n,e,v.dispatchEvent.bind(null,t)):null},monitorScrollValue:function(t){var e=a.bind(null,t);c.listen(window,\"scroll\",e)},dispatchEvent:function(t,e){if(v._enabled){var n=i.getPooled(t,e);try{p.batchedUpdates(o,n)}finally{i.release(n)}}}};t.exports=v},function(t,e,n){\"use strict\";var r=n(21),i=n(22),o=n(50),a=n(85),u=n(159),c=n(51),s=n(161),l=n(12),f={Component:a.injection,DOMProperty:r.injection,EmptyComponent:u.injection,EventPluginHub:i.injection,EventPluginUtils:o.injection,EventEmitter:c.injection,HostComponent:s.injection,Updates:l.injection};t.exports=f},function(t,e,n){\"use strict\";var r=n(385),i=/\\/?>/,o=/^<\\!\\-\\-/,a={CHECKSUM_ATTR_NAME:\"data-react-checksum\",addChecksumToMarkup:function(t){var e=r(t);return o.test(t)?t:t.replace(i,\" \"+a.CHECKSUM_ATTR_NAME+'=\"'+e+'\"$&')},canReuseMarkup:function(t,e){var n=e.getAttribute(a.CHECKSUM_ATTR_NAME);n=n&&parseInt(n,10);var i=r(t);return i===n}};t.exports=a},function(t,e,n){\"use strict\";function r(t,e,n){return{type:\"INSERT_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:n,afterNode:e}}function i(t,e,n){return{type:\"MOVE_EXISTING\",content:null,fromIndex:t._mountIndex,fromNode:p.getHostNode(t),toIndex:n,afterNode:e}}function o(t,e){return{type:\"REMOVE_NODE\",content:null,fromIndex:t._mountIndex,fromNode:e,toIndex:null,afterNode:null}}function a(t){return{type:\"SET_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function u(t){return{type:\"TEXT_CONTENT\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function c(t,e){return e&&(t=t||[],t.push(e)),t}function s(t,e){f.processChildrenUpdates(t,e)}var l=n(2),f=n(85),p=(n(40),n(10),n(15),n(24)),h=n(342),d=(n(9),n(388)),v=(n(0),{Mixin:{_reconcilerInstantiateChildren:function(t,e,n){return h.instantiateChildren(t,e,n)},_reconcilerUpdateChildren:function(t,e,n,r,i,o){var a,u=0;return a=d(e,u),h.updateChildren(t,a,n,r,i,this,this._hostContainerInfo,o,u),a},mountChildren:function(t,e,n){var r=this._reconcilerInstantiateChildren(t,e,n);this._renderedChildren=r;var i=[],o=0;for(var a in r)if(r.hasOwnProperty(a)){var u=r[a],c=0,s=p.mountComponent(u,e,this,this._hostContainerInfo,n,c);u._mountIndex=o++,i.push(s)}return i},updateTextContent:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[u(t)];s(this,r)},updateMarkup:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[a(t)];s(this,r)},updateChildren:function(t,e,n){this._updateChildren(t,e,n)},_updateChildren:function(t,e,n){var r=this._renderedChildren,i={},o=[],a=this._reconcilerUpdateChildren(r,t,o,i,e,n);if(a||r){var u,l=null,f=0,h=0,d=0,v=null;for(u in a)if(a.hasOwnProperty(u)){var g=r&&r[u],y=a[u];g===y?(l=c(l,this.moveChild(g,v,f,h)),h=Math.max(g._mountIndex,h),g._mountIndex=f):(g&&(h=Math.max(g._mountIndex,h)),l=c(l,this._mountChildAtIndex(y,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(y)}for(u in i)i.hasOwnProperty(u)&&(l=c(l,this._unmountChild(r[u],i[u])));l&&s(this,l),this._renderedChildren=a}},unmountChildren:function(t){var e=this._renderedChildren;h.unmountChildren(e,t),this._renderedChildren=null},moveChild:function(t,e,n,r){if(t._mountIndex<r)return i(t,e,n)},createChild:function(t,e,n){return r(n,e,t._mountIndex)},removeChild:function(t,e){return o(t,e)},_mountChildAtIndex:function(t,e,n,r,i,o){return t._mountIndex=r,this.createChild(t,n,e)},_unmountChild:function(t,e){var n=this.removeChild(t,e);return t._mountIndex=null,n}}});t.exports=v},function(t,e,n){\"use strict\";function r(t){return!(!t||\"function\"!=typeof t.attachRef||\"function\"!=typeof t.detachRef)}var i=n(2),o=(n(0),{addComponentAsRefTo:function(t,e,n){r(n)?void 0:i(\"119\"),n.attachRef(e,t)},removeComponentAsRefFrom:function(t,e,n){r(n)?void 0:i(\"120\");var o=n.getPublicInstance();o&&o.refs[e]===t.getPublicInstance()&&n.detachRef(e)}});t.exports=o},function(t,e,n){\"use strict\";var r=\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\";t.exports=r},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=!1,this.reactMountReady=o.getPooled(null),this.useCreateElement=t}var i=n(3),o=n(155),a=n(17),u=n(51),c=n(162),s=(n(10),n(53)),l=n(87),f={initialize:c.getSelectionInformation,close:c.restoreSelection},p={initialize:function(){var t=u.isEnabled();return u.setEnabled(!1),t},close:function(t){u.setEnabled(t)}},h={initialize:function(){this.reactMountReady.reset()},close:function(){this.reactMountReady.notifyAll()}},d=[f,p,h],v={getTransactionWrappers:function(){return d},getReactMountReady:function(){return this.reactMountReady},getUpdateQueue:function(){return l},checkpoint:function(){return this.reactMountReady.checkpoint()},rollback:function(t){this.reactMountReady.rollback(t)},destructor:function(){o.release(this.reactMountReady),this.reactMountReady=null}};i(r.prototype,s,v),a.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){\"function\"==typeof t?t(e.getPublicInstance()):o.addComponentAsRefTo(e,t,n)}function i(t,e,n){\"function\"==typeof t?t(null):o.removeComponentAsRefFrom(e,t,n)}var o=n(365),a={};a.attachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&r(n,t,e._owner)}},a.shouldUpdateRefs=function(t,e){var n=null,r=null;null!==t&&\"object\"==typeof 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       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"outNames\": [\"output value\"], \"baseValue\": 190.61054880241667, \"outValue\": 69.34183390546505, \"link\": \"identity\", \"featureNames\": [\"year\", \"holiday\", \"working_day\", \"temperature\", \"felt_temperature\", \"humidity\", \"wind_speed\", \"days_since_2011\", \"month=April\", \"month=August\", \"month=December\", \"month=February\", \"month=January\", \"month=July\", \"month=June\", \"month=March\", \"month=May\", \"month=November\", \"month=October\", \"month=September\", \"hour=11am-4pm\", \"hour=5pm-8pm\", \"hour=6am-10am\", \"hour=9pm-5am\", \"season=fall\", \"season=spring\", \"season=summer\", \"season=winter\", \"week_day=Friday\", \"week_day=Monday\", \"week_day=Saturday\", \"week_day=Sunday\", \"week_day=Thursday\", \"week_day=Tuesday\", \"week_day=Wednesday\", \"weather_situation=Bad\", \"weather_situation=Good\", \"weather_situation=Medium\", \"weather_situation=Very bad\"], \"features\": {\"0\": {\"effect\": 13.149262523731924, \"value\": 1.0}, \"1\": {\"effect\": 0.3055963456912131, \"value\": 0.0}, \"2\": {\"effect\": 1.2035234605512624, \"value\": 1.0}, \"3\": {\"effect\": -16.970309939464823, \"value\": 13.12}, \"4\": {\"effect\": -18.072322958573917, \"value\": 16.665}, \"5\": {\"effect\": -18.75297261659647, \"value\": 81.0}, \"6\": {\"effect\": -1.5806633566840416, \"value\": 6.0032}, \"7\": {\"effect\": 24.60937621717987, \"value\": 678.0}, \"8\": {\"effect\": 0.17785858991309786, \"value\": 0.0}, \"9\": {\"effect\": 0.03119400277324258, \"value\": 0.0}, \"10\": {\"effect\": 0.029383506920890964, \"value\": 0.0}, \"11\": {\"effect\": 0.283039919494295, \"value\": 0.0}, \"12\": {\"effect\": 0.5622877781027062, \"value\": 0.0}, \"13\": {\"effect\": 0.1699633224421263, \"value\": 0.0}, \"14\": {\"effect\": 0.14423299123019057, \"value\": 0.0}, \"15\": {\"effect\": 0.056626245460569644, \"value\": 0.0}, \"16\": {\"effect\": -0.002170942005329193, \"value\": 0.0}, \"17\": {\"effect\": 0.6489540487642752, \"value\": 1.0}, \"18\": {\"effect\": -0.37701323841749784, \"value\": 0.0}, \"19\": {\"effect\": -0.36659071012060657, \"value\": 0.0}, \"20\": {\"effect\": -8.9092783011371, \"value\": 0.0}, \"21\": {\"effect\": -18.916124346294577, \"value\": 0.0}, \"22\": {\"effect\": -10.317916087687054, \"value\": 0.0}, \"23\": {\"effect\": -84.72606032198298, \"value\": 1.0}, \"24\": {\"effect\": -0.1252813061858933, \"value\": 0.0}, \"25\": {\"effect\": 3.782939053162814, \"value\": 0.0}, \"26\": {\"effect\": 0.5846026301246044, \"value\": 0.0}, \"27\": {\"effect\": 5.9094580312976825, \"value\": 1.0}, \"28\": {\"effect\": 2.5001908232876433, \"value\": 1.0}, \"29\": {\"effect\": 0.39370661260906314, \"value\": 0.0}, \"30\": {\"effect\": -0.6600028370956764, \"value\": 0.0}, \"31\": {\"effect\": 0.44081729687306864, \"value\": 0.0}, \"32\": {\"effect\": -0.22077135157654396, \"value\": 0.0}, \"33\": {\"effect\": -0.002674508518312016, \"value\": 0.0}, \"34\": {\"effect\": 0.06752837115804831, \"value\": 0.0}, \"35\": {\"effect\": 1.5061893678289349, \"value\": 0.0}, \"36\": {\"effect\": 2.3263983722258015, \"value\": 1.0}, \"37\": {\"effect\": -0.15176882564775585, \"value\": 0.0}, \"38\": {\"effect\": 7.724021364113253e-05, \"value\": 0.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
       "    document.getElementById('i8O17S79A25JSY62XPSVH')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap.initjs()\n",
    "shap.force_plot(bikes_tree_explainer.expected_value, sample_bike_shap_values, sample_bike, feature_names=bk_X_train.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random forest prediction is: [69.4723101]\n"
     ]
    }
   ],
   "source": [
    "print(\"Random forest prediction is:\", bike_rf.predict(sample_bike.values.reshape(1, -1)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Explanations here resemble results we got for kernel shap and LIME meaning the upward trend in bike sharing and th epositive impact of good weather ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Classification with lending club <a name=clf>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "nbpresent": {
     "id": "506024d8-4d9c-479e-8086-82c3925d82c4"
    }
   },
   "outputs": [],
   "source": [
    "# Importing lending club data set\n",
    "loans = Loans()\n",
    "ln_X_train, ln_X_test, ln_y_train, ln_y_test = loans.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "nbpresent": {
     "id": "e627068a-3888-4dc2-a8ff-75efafa4b5fc"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This dataset contains 98339 instances with 19 attributes\n"
     ]
    },
    {
     "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>loan_amnt</th>\n",
       "      <th>int_rate</th>\n",
       "      <th>installment</th>\n",
       "      <th>grade</th>\n",
       "      <th>emp_length</th>\n",
       "      <th>home_ownership</th>\n",
       "      <th>annual_inc</th>\n",
       "      <th>verification_status</th>\n",
       "      <th>purpose</th>\n",
       "      <th>dti</th>\n",
       "      <th>delinq_2yrs</th>\n",
       "      <th>inq_last_6mths</th>\n",
       "      <th>open_acc</th>\n",
       "      <th>revol_bal</th>\n",
       "      <th>revol_util</th>\n",
       "      <th>open_acc_6m</th>\n",
       "      <th>inq_fi</th>\n",
       "      <th>mths_since_crl_was_opened</th>\n",
       "      <th>bad_loan_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>58873</th>\n",
       "      <td>7200.0</td>\n",
       "      <td>13.11</td>\n",
       "      <td>242.98</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>15.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>23055.0</td>\n",
       "      <td>44.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>87.032588</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24049</th>\n",
       "      <td>7800.0</td>\n",
       "      <td>17.57</td>\n",
       "      <td>280.31</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>85000.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>11.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8192.0</td>\n",
       "      <td>24.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>139.041869</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12473</th>\n",
       "      <td>8500.0</td>\n",
       "      <td>13.35</td>\n",
       "      <td>287.84</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>RENT</td>\n",
       "      <td>43000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>14.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8274.0</td>\n",
       "      <td>57.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>74.941991</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70457</th>\n",
       "      <td>15250.0</td>\n",
       "      <td>21.98</td>\n",
       "      <td>421.02</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>small_business</td>\n",
       "      <td>9.27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7999.0</td>\n",
       "      <td>28.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>229.031397</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97590</th>\n",
       "      <td>15000.0</td>\n",
       "      <td>13.43</td>\n",
       "      <td>508.53</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>RENT</td>\n",
       "      <td>57000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>17.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10530.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>114.959239</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       loan_amnt  int_rate  installment  grade  emp_length home_ownership  \\\n",
       "58873     7200.0     13.11       242.98    6.0         5.0       MORTGAGE   \n",
       "24049     7800.0     17.57       280.31    4.0        10.0       MORTGAGE   \n",
       "12473     8500.0     13.35       287.84    5.0         2.0           RENT   \n",
       "70457    15250.0     21.98       421.02    3.0         5.0       MORTGAGE   \n",
       "97590    15000.0     13.43       508.53    5.0         4.0           RENT   \n",
       "\n",
       "       annual_inc verification_status             purpose    dti  delinq_2yrs  \\\n",
       "58873     50000.0     Source Verified  debt_consolidation  15.13          0.0   \n",
       "24049     85000.0        Not Verified  debt_consolidation  11.83          0.0   \n",
       "12473     43000.0     Source Verified  debt_consolidation  14.57          0.0   \n",
       "70457     80000.0            Verified      small_business   9.27          0.0   \n",
       "97590     57000.0            Verified  debt_consolidation  17.16          0.0   \n",
       "\n",
       "       inq_last_6mths  open_acc  revol_bal  revol_util  open_acc_6m  inq_fi  \\\n",
       "58873             1.0      18.0    23055.0        44.5          1.0     1.0   \n",
       "24049             2.0      14.0     8192.0        24.9          1.0     1.0   \n",
       "12473             1.0       8.0     8274.0        57.9          1.0     1.0   \n",
       "70457             3.0      11.0     7999.0        28.1          1.0     1.0   \n",
       "97590             2.0      11.0    10530.0        45.0          1.0     1.0   \n",
       "\n",
       "       mths_since_crl_was_opened  bad_loan_status  \n",
       "58873                  87.032588                0  \n",
       "24049                 139.041869                0  \n",
       "12473                  74.941991                1  \n",
       "70457                 229.031397                0  \n",
       "97590                 114.959239                0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loans.preview()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Model creation and sanity checks <a name=clfm>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Model creation \n",
    "loan_rf =  RandomForestClassifier(n_estimators=100, max_depth=12, max_features=\"sqrt\", random_state=22) \n",
    "loan_rf = loan_rf.fit(ln_X_train, ln_y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "san.classification_sanity_check(loan_rf, ln_X_train, ln_X_test, ln_y_train, ln_y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explanation <a name=clfe>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "loans_tree_explainer = shap.TreeExplainer(loan_rf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>loan_amnt</th>\n",
       "      <th>int_rate</th>\n",
       "      <th>installment</th>\n",
       "      <th>grade</th>\n",
       "      <th>emp_length</th>\n",
       "      <th>home_ownership</th>\n",
       "      <th>annual_inc</th>\n",
       "      <th>verification_status</th>\n",
       "      <th>purpose</th>\n",
       "      <th>dti</th>\n",
       "      <th>delinq_2yrs</th>\n",
       "      <th>inq_last_6mths</th>\n",
       "      <th>open_acc</th>\n",
       "      <th>revol_bal</th>\n",
       "      <th>revol_util</th>\n",
       "      <th>open_acc_6m</th>\n",
       "      <th>inq_fi</th>\n",
       "      <th>mths_since_crl_was_opened</th>\n",
       "      <th>bad_loan_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>41230</th>\n",
       "      <td>7000.0</td>\n",
       "      <td>15.61</td>\n",
       "      <td>244.76</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>RENT</td>\n",
       "      <td>56550.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>23.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2193.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>53.980575</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       loan_amnt  int_rate  installment  grade  emp_length home_ownership  \\\n",
       "41230     7000.0     15.61       244.76    4.0         1.0           RENT   \n",
       "\n",
       "       annual_inc verification_status             purpose   dti  delinq_2yrs  \\\n",
       "41230     56550.0     Source Verified  debt_consolidation  23.6          1.0   \n",
       "\n",
       "       inq_last_6mths  open_acc  revol_bal  revol_util  open_acc_6m  inq_fi  \\\n",
       "41230             1.0      10.0     2193.0        17.8          1.0     1.0   \n",
       "\n",
       "       mths_since_crl_was_opened  bad_loan_status  \n",
       "41230                  53.980575                1  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_loans = ln_X_test.iloc[3]\n",
    "\n",
    "## recovers the original format just for reading convenience\n",
    "loans.data.iloc[[sample_loans.name], :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_loans_shap_values = loans_tree_explainer.shap_values(sample_loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"outNames\": [\"output value\"], \"baseValue\": 0.21946943600564378, \"outValue\": 0.3018655568925743, \"link\": \"identity\", \"featureNames\": [\"loan_amnt\", \"int_rate\", \"installment\", \"grade\", \"emp_length\", \"annual_inc\", \"dti\", \"delinq_2yrs\", \"inq_last_6mths\", \"open_acc\", \"revol_bal\", \"revol_util\", \"open_acc_6m\", \"inq_fi\", \"mths_since_crl_was_opened\", \"home_ownership=MORTGAGE\", \"home_ownership=NONE\", \"home_ownership=OTHER\", \"home_ownership=OWN\", \"home_ownership=RENT\", \"verification_status=Not Verified\", \"verification_status=Source Verified\", \"verification_status=Verified\", \"purpose=car\", \"purpose=credit_card\", \"purpose=debt_consolidation\", \"purpose=educational\", \"purpose=home_improvement\", \"purpose=house\", \"purpose=major_purchase\", \"purpose=medical\", \"purpose=moving\", \"purpose=other\", \"purpose=renewable_energy\", \"purpose=small_business\", \"purpose=vacation\", \"purpose=wedding\"], \"features\": {\"0\": {\"effect\": -0.01731734170664251, \"value\": 7000.0}, \"1\": {\"effect\": 0.03412786736749508, \"value\": 15.61}, \"2\": {\"effect\": -0.01284097653988921, \"value\": 244.76}, \"3\": {\"effect\": 0.0346882366942721, \"value\": 4.0}, \"4\": {\"effect\": -0.008806141656471395, \"value\": 1.0}, \"5\": {\"effect\": -0.00020319950079934575, \"value\": 56550.0}, \"6\": {\"effect\": 0.03318394104903331, \"value\": 23.6}, \"7\": {\"effect\": 0.001695199064934515, \"value\": 1.0}, \"8\": {\"effect\": -1.6135837060774977e-05, \"value\": 1.0}, \"9\": {\"effect\": 0.00025242523018964287, \"value\": 10.0}, \"10\": {\"effect\": 0.0018051088647173528, \"value\": 2193.0}, \"11\": {\"effect\": -0.013580675413724035, \"value\": 17.8}, \"12\": {\"effect\": 2.5069437568063317e-06, \"value\": 1.0}, \"13\": {\"effect\": 3.674027705449598e-06, \"value\": 1.0}, \"14\": {\"effect\": 0.0036632621381698645, \"value\": 53.98057454978542}, \"15\": {\"effect\": 0.010849133760028598, \"value\": 0.0}, \"16\": {\"effect\": -4.9527833025408424e-06, \"value\": 0.0}, \"17\": {\"effect\": -8.961412524530656e-06, \"value\": 0.0}, \"18\": {\"effect\": -0.0006196120594687942, \"value\": 0.0}, \"19\": {\"effect\": 0.0039152799693831985, \"value\": 1.0}, \"20\": {\"effect\": 0.008263666234524328, \"value\": 0.0}, \"21\": {\"effect\": 0.00432967258342369, \"value\": 1.0}, \"22\": {\"effect\": -0.0002612710773002157, \"value\": 0.0}, \"23\": {\"effect\": -5.501811188844157e-05, \"value\": 0.0}, \"24\": {\"effect\": 0.00011154461563406914, \"value\": 0.0}, \"25\": {\"effect\": 0.0009152634201642351, \"value\": 1.0}, \"26\": {\"effect\": -6.7142422505483e-05, \"value\": 0.0}, \"27\": {\"effect\": -8.090571054284757e-05, \"value\": 0.0}, \"28\": {\"effect\": 4.219041289645498e-05, \"value\": 0.0}, \"29\": {\"effect\": -0.00040090348052921004, \"value\": 0.0}, \"30\": {\"effect\": -0.0001035866084923059, \"value\": 0.0}, \"31\": {\"effect\": -8.575976473023518e-05, \"value\": 0.0}, \"32\": {\"effect\": -0.0002862589263855909, \"value\": 0.0}, \"33\": {\"effect\": -6.049688923706565e-05, \"value\": 0.0}, \"34\": {\"effect\": -0.000679819129167192, \"value\": 0.0}, \"35\": {\"effect\": -7.8386977221653e-05, \"value\": 0.0}, \"36\": {\"effect\": 0.00010469451848519816, \"value\": 0.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
       "    document.getElementById('iC1U0D18UZO5NSUZUEV26')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap.force_plot(loans_tree_explainer.expected_value[1], sample_loans_shap_values[1], sample_loans, feature_names=ln_X_train.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random forest prediction for 'Bad loan' class is: 0.3018655568925749\n"
     ]
    }
   ],
   "source": [
    "print(\"Random forest prediction for 'Bad loan' class is:\", loan_rf.predict_proba(sample_loans.values.reshape(1, -1))[0][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Results are coherent with data exploration and other methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Conclusion <a name=conc>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tree SHAP considers all scenarios where we drop a subset of features and watch the expected value change. This method guarantees both local accuracy and consistency without sacrificing computational time."
   ]
  }
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