Inserting Google Analytics on docs

PYFTS · Sep 25, 2018 · 385e698 · 385e698
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diff --git a/docs/_templates/layout.html b/docs/_templates/layout.html
@@ -0,0 +1,14 @@
+{% extends "!layout.html" %}
+
+{% block footer %}
+{{ super() }}
+<!-- Global site tag (gtag.js) - Google Analytics -->
+<script async src="https://www.googletagmanager.com/gtag/js?id=UA-55120145-3"></script>
+<script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag('js', new Date());
+
+  gtag('config', 'UA-55120145-3');
+</script>
+{% endblock %} 
diff --git a/pyFTS/notebooks/Chen - ConventionalFTS.ipynb b/pyFTS/notebooks/Chen - ConventionalFTS.ipynb
@@ -82,7 +82,7 @@
     "from pyFTS.benchmarks import benchmarks as bchmk, Util as bUtil\n",
     "from pyFTS.partitioners import Util as pUtil\n",
     "\n",
-    "from pyFTS.models import yu\n"
+    "from pyFTS.models import chen\n"
    ]
   },
   {
@@ -186,9 +186,82 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "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>Dataset</th>\n",
+       "      <th>ADF Statistic</th>\n",
+       "      <th>p-value</th>\n",
+       "      <th>Cr. Val. 1%</th>\n",
+       "      <th>Cr. Val. 5%</th>\n",
+       "      <th>Cr. Val. 10%</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>TAIEX</td>\n",
+       "      <td>-2.656728</td>\n",
+       "      <td>0.081830</td>\n",
+       "      <td>-3.431601</td>\n",
+       "      <td>-2.862093</td>\n",
+       "      <td>-2.567064</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SP500</td>\n",
+       "      <td>-1.747171</td>\n",
+       "      <td>0.406987</td>\n",
+       "      <td>-3.431811</td>\n",
+       "      <td>-2.862186</td>\n",
+       "      <td>-2.567114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NASDAQ</td>\n",
+       "      <td>0.476224</td>\n",
+       "      <td>0.984132</td>\n",
+       "      <td>-3.432022</td>\n",
+       "      <td>-2.862279</td>\n",
+       "      <td>-2.567163</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Dataset  ADF Statistic   p-value  Cr. Val. 1%  Cr. Val. 5%  Cr. Val. 10%\n",
+       "0   TAIEX      -2.656728  0.081830    -3.431601    -2.862093     -2.567064\n",
+       "1   SP500      -1.747171  0.406987    -3.431811    -2.862186     -2.567114\n",
+       "2  NASDAQ       0.476224  0.984132    -3.432022    -2.862279     -2.567163"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from statsmodels.tsa.stattools import adfuller\n",
     "\n",