{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "db18fc45-5a86-43d6-b458-9cff20f31229",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df_diabetes = pd.read_csv('~/diabetes_binary.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bbc9370a-e316-4de1-a159-637faee024a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_babies = pd.read_csv('~/babies.csv')\n",
    "df_babies.drop('Unnamed: 0', axis = 1, inplace = True)\n",
    "df_babies = df_babies.dropna() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "507c58b4-0c4d-486d-ab4b-e4da267ee9f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# You need to install tensorflow and import modules from Keras package\n",
    "\n",
    "from tensorflow.keras.models import Sequential # To place Neural Network layers\n",
    "from tensorflow.keras.layers import Dense # For fully connected layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a704683-a3bf-4eb9-9580-c579bfcee58c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Usual splitting of X and y and train-test set\n",
    "\n",
    "X = df_babies.drop('bwt', axis = 1)\n",
    "y = df_babies['bwt']\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "train_X, test_X, train_y, test_y = train_test_split(X, y, test_size = 0.25) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "40140842-4a37-485b-ba92-f9531733c27d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# define the keras model\n",
    "reg_model = Sequential()\n",
    "reg_model.add(Dense(12, input_shape=(X.shape[1],), activation='relu')) # Here we define input layer, with number of variables, and first hidden layer of 12\n",
    "reg_model.add(Dense(8, activation='relu'))\n",
    "\n",
    "\n",
    "# compile the Keras model\n",
    "\n",
    "reg_model.compile(loss= \"mean_absolute_error\" , optimizer=\"adam\", metrics=[\"mean_absolute_error\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d93ddcb-8bd3-4324-8751-036809cdfc3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "reg_model.fit(train_X, train_y, epochs=50, batch_size = 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "08d48d24-2cac-4474-9481-b6a3fc937ed2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10/10 [==============================] - 0s 3ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-04-14 13:36:15.807664: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    }
   ],
   "source": [
    "reg_predictions = reg_model.predict(test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "26fce22c-feac-4b4e-8231-d6796d73723d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "364.7343916082058"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "mean_absolute_error(reg_predictions[:,0], test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8b4d231c-95d4-41a7-b176-a0434ea4a2db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "461.52553906962277"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "np.sqrt(mean_squared_error(reg_predictions[:,0], test_y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c0adb476-dfeb-43d6-ac82-f1d845d161ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "# now classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ae5a568f-1684-4a7c-8b08-0031f26e3d22",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df_diabetes.drop('Diabetes_binary', axis = 1)\n",
    "y = df_diabetes['Diabetes_binary']\n",
    "\n",
    "train_X, test_X, train_y, test_y = train_test_split(X, y, test_size = 0.10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "d7bb5a65-7c29-4a55-8995-2cf69e326f44",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      " 1/71 [..............................] - ETA: 23s - loss: 1.3167 - accuracy: 0.4800"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-04-14 13:54:00.820463: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "71/71 [==============================] - 1s 10ms/step - loss: 0.7923 - accuracy: 0.5871\n",
      "Epoch 2/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.6346 - accuracy: 0.6499\n",
      "Epoch 3/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5990 - accuracy: 0.6813\n",
      "Epoch 4/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5790 - accuracy: 0.6978\n",
      "Epoch 5/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5649 - accuracy: 0.7105\n",
      "Epoch 6/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5543 - accuracy: 0.7201\n",
      "Epoch 7/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5466 - accuracy: 0.7266\n",
      "Epoch 8/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5411 - accuracy: 0.7312\n",
      "Epoch 9/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5371 - accuracy: 0.7330\n",
      "Epoch 10/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5340 - accuracy: 0.7355\n",
      "Epoch 11/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5319 - accuracy: 0.7363\n",
      "Epoch 12/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5296 - accuracy: 0.7377\n",
      "Epoch 13/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5282 - accuracy: 0.7379\n",
      "Epoch 14/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5272 - accuracy: 0.7399\n",
      "Epoch 15/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5251 - accuracy: 0.7402\n",
      "Epoch 16/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5245 - accuracy: 0.7401\n",
      "Epoch 17/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5228 - accuracy: 0.7410\n",
      "Epoch 18/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5216 - accuracy: 0.7417\n",
      "Epoch 19/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5202 - accuracy: 0.7424\n",
      "Epoch 20/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5196 - accuracy: 0.7426\n",
      "Epoch 21/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5189 - accuracy: 0.7434\n",
      "Epoch 22/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5178 - accuracy: 0.7434\n",
      "Epoch 23/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5177 - accuracy: 0.7445\n",
      "Epoch 24/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5167 - accuracy: 0.7444\n",
      "Epoch 25/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5168 - accuracy: 0.7448\n",
      "Epoch 26/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5160 - accuracy: 0.7447\n",
      "Epoch 27/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5153 - accuracy: 0.7449\n",
      "Epoch 28/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5151 - accuracy: 0.7458\n",
      "Epoch 29/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5143 - accuracy: 0.7460\n",
      "Epoch 30/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5140 - accuracy: 0.7458\n",
      "Epoch 31/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5142 - accuracy: 0.7461\n",
      "Epoch 32/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5130 - accuracy: 0.7475\n",
      "Epoch 33/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5130 - accuracy: 0.7471\n",
      "Epoch 34/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5125 - accuracy: 0.7474\n",
      "Epoch 35/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5122 - accuracy: 0.7472\n",
      "Epoch 36/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5133 - accuracy: 0.7475\n",
      "Epoch 37/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5118 - accuracy: 0.7472\n",
      "Epoch 38/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5115 - accuracy: 0.7475\n",
      "Epoch 39/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5124 - accuracy: 0.7476\n",
      "Epoch 40/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5117 - accuracy: 0.7477\n",
      "Epoch 41/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5107 - accuracy: 0.7482\n",
      "Epoch 42/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5112 - accuracy: 0.7474\n",
      "Epoch 43/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5107 - accuracy: 0.7480\n",
      "Epoch 44/50\n",
      "71/71 [==============================] - 1s 8ms/step - loss: 0.5101 - accuracy: 0.7482\n",
      "Epoch 45/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5102 - accuracy: 0.7478\n",
      "Epoch 46/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5104 - accuracy: 0.7493\n",
      "Epoch 47/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5095 - accuracy: 0.7485\n",
      "Epoch 48/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5094 - accuracy: 0.7489\n",
      "Epoch 49/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5096 - accuracy: 0.7494\n",
      "Epoch 50/50\n",
      "71/71 [==============================] - 1s 9ms/step - loss: 0.5093 - accuracy: 0.7491\n",
      "  20/2210 [..............................] - ETA: 12s - loss: 0.5573 - accuracy: 0.6828"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-04-14 13:54:30.414143: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2210/2210 [==============================] - 12s 5ms/step - loss: 0.5091 - accuracy: 0.7500\n",
      "Accuracy: 75.00\n"
     ]
    }
   ],
   "source": [
    "# define the keras model\n",
    "clf_model = Sequential()\n",
    "clf_model.add(Dense(12, input_shape=(train_X.shape[1],), activation='relu'))\n",
    "clf_model.add(Dense(8, activation='relu'))\n",
    "clf_model.add(Dense(1, activation='sigmoid'))\n",
    "# compile the keras model\n",
    "clf_model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "# fit the keras model on the dataset\n",
    "clf_model.fit(X, y, epochs=50, batch_size=1000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "e6140855-68e2-4bc7-b160-68044f347fed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "442/442 [==============================] - 1s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "clf_predictions = clf_model.predict(test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "66ac3edc-886f-405e-a9b8-3f634e0c4267",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8286162961958563"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "roc_auc_score(test_y, clf_predictions) # it was 0.8174 with logistic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22c516a5-a99d-47a2-b6fb-48d709f1ca45",
   "metadata": {},
   "outputs": [],
   "source": [
    "import shap\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "72b3ccaa-be88-45d2-89e2-77300fc8ce8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "rf_model = RandomForestClassifier(n_estimators = 500, criterion = 'log_loss', max_depth = 10).fit(train_X, train_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "9e4bb928-a364-4f7f-a456-593444f0172c",
   "metadata": {},
   "outputs": [],
   "source": [
    "rf_predictions = rf_model.predict_proba(test_X)[:,1] # I obtain predictions and select the second column, probability of diabetes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "fa8d919a-0362-4226-82fb-c9a78532dc88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8316008646958126"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "roc_auc_score(test_y, rf_predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "10b8248f-99e0-4972-8b4f-13d0ab6f5414",
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer = shap.TreeExplainer(rf_model)\n",
    "shap_values = explainer.shap_values(test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e414bd1-efa9-4c28-a373-650120a8c41a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# try with less data points -> test_X.iloc[0:500,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "35b7b96d-8017-4309-93a4-6fdd70c7b049",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values[1], test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "1c2ba486-923e-489d-804c-dfb0d9c5fae5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x950 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values[1], X, plot_type=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "3f72bba5-b2ba-4b0e-855b-b32b2057416f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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=!m(s,l)||!m(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(y(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(11),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;A.postMountWrapper(t)}function s(){var t=this;P.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(){N.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),m=n(332),y=n(334),_=n(20),b=n(82),x=n(21),w=n(156),C=n(22),M=n(83),k=n(51),E=n(157),T=n(4),S=n(351),P=n(352),N=n(158),A=n(355),O=(n(9),n(364)),I=n(369),D=(n(8),n(54)),R=(n(0),n(94),n(80),n(96),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[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\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o);break;case\"select\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":A.mountWrapper(this,o,e),o=A.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 y=_(h);this._createInitialChildren(t,o,r,y),p=y}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(m.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(m.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=y.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=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"select\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"textarea\":o=A.getHostProps(this,o),a=A.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\":A.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&&y.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(96),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(81),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(85),s=n(4),l=n(11),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(81),a=n(20),u=n(4),c=n(54),s=(n(0),n(96),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),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(85),c=n(4),s=n(11),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",
       "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-- 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r(){C||(C=!0,y.EventEmitter.injectReactEventListener(m),y.EventPluginHub.injectEventPluginOrder(u),y.EventPluginUtils.injectComponentTree(p),y.EventPluginUtils.injectTreeTraversal(d),y.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),y.HostComponent.injectGenericComponentClass(f),y.HostComponent.injectTextComponentClass(v),y.DOMProperty.injectDOMPropertyConfig(i),y.DOMProperty.injectDOMPropertyConfig(s),y.DOMProperty.injectDOMPropertyConfig(b),y.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),y.Updates.injectReconcileTransaction(_),y.Updates.injectBatchingStrategy(g),y.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),m=n(361),y=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(86),u=n(159),c=n(51),s=n(161),l=n(11),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(86),p=(n(40),n(9),n(15),n(24)),h=n(342),d=(n(8),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],m=a[u];g===m?(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(m,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(m)}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(9),n(53)),l=n(88),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\": [\"f(x)\"], \"baseValue\": 0.4988040599084047, \"outValue\": 0.6469768246988425, \"link\": \"identity\", \"featureNames\": [\"HighBP\", \"HighChol\", \"CholCheck\", \"BMI\", \"Smoker\", \"Stroke\", \"HeartDiseaseorAttack\", \"PhysActivity\", \"Fruits\", \"Veggies\", \"HvyAlcoholConsump\", \"AnyHealthcare\", \"NoDocbcCost\", \"GenHlth\", \"MentHlth\", \"PhysHlth\", \"DiffWalk\", \"Sex\", \"Age\", \"Education\", \"Income\"], \"features\": {\"0\": {\"effect\": 0.0982807485078467, \"value\": 1.0}, \"1\": {\"effect\": 0.06328171424074316, \"value\": 1.0}, \"2\": {\"effect\": 0.0026089763500564377, \"value\": 1.0}, \"3\": {\"effect\": 0.09891330022633386, \"value\": 35.0}, \"4\": {\"effect\": 0.002811374289948484, \"value\": 1.0}, \"5\": {\"effect\": -0.001361303662552039, \"value\": 0.0}, \"6\": {\"effect\": -0.008461793827420286, \"value\": 0.0}, \"7\": {\"effect\": 0.006742378697830802, \"value\": 0.0}, \"8\": {\"effect\": 0.0007804129429398681, \"value\": 0.0}, \"9\": {\"effect\": -0.0018693089493568853, \"value\": 1.0}, \"10\": {\"effect\": 0.002679819872467516, \"value\": 0.0}, \"11\": {\"effect\": 0.00011215583832648209, \"value\": 1.0}, \"12\": {\"effect\": 0.003459249448991075, \"value\": 1.0}, \"13\": {\"effect\": -0.11069875772760727, \"value\": 2.0}, \"14\": {\"effect\": -0.00036678643410528917, \"value\": 0.0}, \"15\": {\"effect\": -0.01008100786209762, \"value\": 0.0}, \"16\": {\"effect\": -0.02101921534862963, \"value\": 0.0}, \"17\": {\"effect\": 0.007950645744062988, \"value\": 1.0}, \"18\": {\"effect\": -0.018563136822119995, \"value\": 7.0}, \"19\": {\"effect\": 0.007090457555641528, \"value\": 4.0}, \"20\": {\"effect\": 0.025882841709137936, \"value\": 5.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
       "    document.getElementById('iFIWW0EBX88E7PO48B5R6')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<shap.plots._force.AdditiveForceVisualizer at 0x2c4fc2200>"
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     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap.initjs()\n",
    "shap.force_plot(explainer.expected_value[1], shap_values[1][345], test_X.iloc[345,])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "d91f6e5f-3169-4974-b99e-ef5f9888f05c",
   "metadata": {},
   "outputs": [
    {
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       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
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       "   if (window.SHAP) SHAP.ReactDom.render(\n",
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   "source": [
    "shap.force_plot(explainer.expected_value[1], shap_values[1][5], test_X.iloc[5,])"
   ]
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   "execution_count": 90,
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     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap.force_plot(explainer.expected_value[1], shap_values[1][111], test_X.iloc[111,])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "8ef6d1ad-8db3-4dcf-a627-0477be01b79f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#let's see with regression\n",
    "\n",
    "X = df_babies.drop('bwt', axis = 1)\n",
    "y = df_babies['bwt']\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "train_X, test_X, train_y, test_y = train_test_split(X, y, test_size = 0.25) \n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "rf_model2 = RandomForestRegressor(n_estimators = 500, max_depth = 10).fit(train_X, train_y)\n",
    "rf_predictions2 = rf_model2.predict(test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "6f78ae75-2c09-465c-94e7-b90c2343f973",
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer2 = shap.TreeExplainer(rf_model2)\n",
    "shap_values2 = explainer2.shap_values(test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "041aea0d-c6c0-4a93-b1d4-c1026f44782e",
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer2.expected_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "e095f609-2d27-4476-953e-2c5276e997d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='iYC1SW5P51LVLJC2NUX5D'>\n",
       "<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. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
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   "source": [
    "shap.force_plot(explainer2.expected_value, shap_values2[35], test_X.iloc[35,])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "e569046a-e97f-49d7-b07f-6680d61bec75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='iRRXI1QGSH9GBGCYYWQV5'>\n",
       "<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",
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       "  this notebook on github the Javascript has been stripped for security. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"outNames\": [\"f(x)\"], \"baseValue\": 3384.226963636364, \"outValue\": 3597.3129134246956, \"link\": \"identity\", \"featureNames\": [\"gestation\", \"parity\", \"age\", \"height\", \"weight\", \"smoke\"], \"features\": {\"0\": {\"effect\": 247.08904768914883, \"value\": 315.0}, \"1\": {\"effect\": 6.595841991027269, \"value\": 0.0}, \"2\": {\"effect\": -32.306416732888515, \"value\": 39.0}, \"3\": {\"effect\": 105.3938126810196, \"value\": 170.0}, \"4\": {\"effect\": 45.82314039685238, \"value\": 65.0}, \"5\": {\"effect\": -159.50947623682805, \"value\": 1.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
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     "execution_count": 98,
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   "source": [
    "shap.force_plot(explainer2.expected_value, shap_values2[44], test_X.iloc[44,])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "337581d2-9ccd-4da3-a151-0f5f3590c04d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x390 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values2, test_X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "a2dc3527-4622-41e8-bd55-2eb4e00cb0ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['gestation', 'parity', 'age', 'height', 'weight', 'smoke'], dtype='object')"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "fa10b7cb-f71f-4aef-b425-f3ee8ec49e7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.dependence_plot('gestation', shap_values2, test_X, interaction_index=\"smoke\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4465cdf9-8d17-4735-a789-6aae69aac05f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}