interstate94.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Interstate 94 - Hourly traffic volume prediction (multivariate time series)\n",
    "\n",
    "In this tutorial, we demonstrate a time series application of getML. We predict the hourly traffic volume on I-94 westbound from Minneapolis-St Paul.\n",
    "We benchmark our results against [Facebook's Prophet](https://facebook.github.io/prophet/). getML's relational learning algorithms outperform Prophet's classical time series approach by ~15%.\n",
    "\n",
    "Summary:\n",
    "\n",
    "- Prediction type: __Regression model__\n",
    "- Domain: __Transportation__\n",
    "- Prediction target: __Hourly traffic volume__\n",
    "- Source data: __Multivariate time series, 5 components__\n",
    "- Population size: __24096__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Background\n",
    "\n",
    "The dataset features some particularly interesting characteristics common for time series, which classical models may struggle to deal with appropriately. Such characteristics are:\n",
    "\n",
    "- High frequency (hourly)\n",
    "- Dependence on irregular events (holidays)\n",
    "- Strong and overlapping cycles (daily, weekly)\n",
    "- Anomalies\n",
    "- Multiple seasonalities\n",
    "\n",
    "\n",
    "The analysis is built on top of a dataset provided by the [MN Department of Transportation](https://www.dot.state.mn.us), with some data preparation done by [John Hogue](https://github.com/dreyco676/Anomaly_Detection_A_to_Z/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's get started with the analysis and set-up your session:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install -q \"getml==1.5.0\" \"matplotlib==3.9.2\" \"scipy==1.14.1\" \"cmdstanpy==1.2.4\" \"Prophet==1.1.5\" \"plotly==5.24.0\" \"ipywidgets==8.1.5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "getML API version: 1.5.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import warnings\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from scipy import stats\n",
    "import getml\n",
    "\n",
    "os.environ[\"PYARROW_IGNORE_TIMEZONE\"] = \"1\"\n",
    "warnings.simplefilter(action=\"ignore\", category=FutureWarning)\n",
    "%matplotlib inline\n",
    "\n",
    "print(f\"getML API version: {getml.__version__}\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Launching ./getML --allow-push-notifications=true --allow-remote-ips=true --home-directory=/home/user --in-memory=true --install=false --launch-browser=true --log=false --token=token in /home/user/.getML/getml-1.5.0-x64-linux...\n",
      "Launched the getML Engine. The log output will be stored in /home/user/.getML/logs/20240912144337.log.\n",
      "\u001b[2K  Loading pipelines... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[?25h"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Connected to project <span style=\"color: #008000; text-decoration-color: #008000\">'interstate94'</span>.\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Connected to project \u001b[32m'interstate94'\u001b[0m.\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "getml.engine.launch(allow_remote_ips=True, token=\"token\")\n",
    "getml.engine.set_project(\"interstate94\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Loading data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1 Download from source\n",
    "\n",
    "Downloading the raw data and convert it into a prediction ready format takes time. To get to the getML model building as fast as possible, we prepared the data for you and excluded the code from this notebook. It is made available in the example notebook featuring the full analysis. We only include data after 2016 and introduced a fixed train/test split at 80% of the available data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "traffic = getml.datasets.load_interstate94()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "            \n",
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       "              \n",
       "          \n",
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       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">New Years Day</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">1</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">1</td>\n",
       "          \n",
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       "          \n",
       "            <td class=\"categorical\">4</td>\n",
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       "            <td class=\"categorical\">1</td>\n",
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       "        \n",
       "          \n",
       "            <td class=\"categorical\">New Years Day</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">1</td>\n",
       "          \n",
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       "          \n",
       "            <td class=\"categorical\">1</td>\n",
       "          \n",
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       "            <td class=\"time_stamp\">2016-01-01 03:00:00</td>\n",
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       "        <th>4</th>\n",
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       "            <td class=\"time_stamp\">2016-01-01 04:00:00</td>\n",
       "          \n",
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       "              \n",
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       "            <td class=\"categorical\">New Years Day</td>\n",
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       "          \n",
       "            <td class=\"categorical\">1</td>\n",
       "          \n",
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       "          \n",
       "            <td class=\"categorical\">1</td>\n",
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       "            <td class=\"categorical\">4</td>\n",
       "          \n",
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       "          \n",
       "            <td class=\"categorical\">2016</td>\n",
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       "        <th></th>\n",
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       "            <td class=\"categorical\">...</td>\n",
       "          \n",
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       "          \n",
       "            <td class=\"categorical\">...</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">...</td>\n",
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       "            <td class=\"categorical\">...</td>\n",
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       "        <th>24091</th>\n",
       "        \n",
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       "            <td class=\"time_stamp\">2018-09-30 19:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
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       "              \n",
       "              \n",
       "          \n",
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       "                >&nbsp;</span\n",
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       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">30</td>\n",
       "          \n",
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       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
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       "    \n",
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       "        <th>24092</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-09-30 20:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
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       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">30</td>\n",
       "          \n",
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       "            <td class=\"categorical\">9</td>\n",
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       "            <td class=\"categorical\">2018</td>\n",
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       "    \n",
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       "        <th>24093</th>\n",
       "        \n",
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       "            <td class=\"time_stamp\">2018-09-30 21:00:00</td>\n",
       "          \n",
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       "              <span class=\"left\">2159</span\n",
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       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
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       "          \n",
       "            <td class=\"categorical\">30</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">9</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">6</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">21</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>24094</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-09-30 22:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "          \n",
       "            <td class=\"char-align target\">\n",
       "              <span class=\"left\">1450</span\n",
       "              ><span class=\"right\" style=\"width: 0ch\"\n",
       "                >&nbsp;</span\n",
       "              >\n",
       "            </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">30</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">9</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">6</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">22</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>24095</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-09-30 23:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "          \n",
       "            <td class=\"char-align target\">\n",
       "              <span class=\"left\">954</span\n",
       "              ><span class=\"right\" style=\"width: 0ch\"\n",
       "                >&nbsp;</span\n",
       "              >\n",
       "            </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">30</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">9</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">6</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">23</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "  </tbody>\n",
       "</table>\n",
       "\n",
       "  <p>\n",
       "    24096 rows x 8 columns<br />\n",
       "    memory usage: 0.96 MB<br />\n",
       "    name: traffic<br />\n",
       "    type: getml.DataFrame<br />\n",
       "    \n",
       "  </p>\n"
      ],
      "text/plain": [
       " name                            ds   traffic_volume   holiday         day           month         weekday       hour       \n",
       " role                    time_stamp           target   categorical     categorical   categorical   categorical   categorical\n",
       " unit   time stamp, comparison only                                    day           month         weekday       hour       \n",
       "    0                    2016-01-01             1513   New Years Day   1             1             4             0          \n",
       "    1           2016-01-01 01:00:00             1550   New Years Day   1             1             4             1          \n",
       "    2           2016-01-01 02:00:00              993   New Years Day   1             1             4             2          \n",
       "    3           2016-01-01 03:00:00              719   New Years Day   1             1             4             3          \n",
       "    4           2016-01-01 04:00:00              533   New Years Day   1             1             4             4          \n",
       "                                ...              ...   ...             ...           ...           ...           ...        \n",
       "24091           2018-09-30 19:00:00             3543   No holiday      30            9             6             19         \n",
       "24092           2018-09-30 20:00:00             2781   No holiday      30            9             6             20         \n",
       "24093           2018-09-30 21:00:00             2159   No holiday      30            9             6             21         \n",
       "24094           2018-09-30 22:00:00             1450   No holiday      30            9             6             22         \n",
       "24095           2018-09-30 23:00:00              954   No holiday      30            9             6             23         \n",
       "\n",
       " name   year       \n",
       " role   categorical\n",
       " unit   year       \n",
       "    0   2016       \n",
       "    1   2016       \n",
       "    2   2016       \n",
       "    3   2016       \n",
       "    4   2016       \n",
       "        ...        \n",
       "24091   2018       \n",
       "24092   2018       \n",
       "24093   2018       \n",
       "24094   2018       \n",
       "24095   2018       \n",
       "\n",
       "\n",
       "24096 rows x 8 columns\n",
       "memory usage: 0.96 MB\n",
       "type: getml.DataFrame"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traffic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.2 Prepare data for getML\n",
    "\n",
    "The `getml.datasets.load_interstate94` method took care of the entire data preparation:\n",
    "* Downloads csv's from our servers into python\n",
    "* Converts csv's to getML [DataFrames](https://getml.com/latest/reference/data/data_frame#dataframe)\n",
    "* Sets [roles](https://getml.com/latest/user_guide/concepts/annotating_data#roles) & [units](https://getml.com/latest/user_guide/concepts/annotating_data#annotating-units) to columns inside getML DataFrames"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Data visualization__\n",
    "\n",
    "The first week of the original traffic time series is plotted below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x74496a94c810>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "\n",
    "# 2016/01/01 was a friday, we'd like to start the visualizations on a monday\n",
    "start = getml.data.time.datetime(2016, 1, 4)\n",
    "end = getml.data.time.datetime(2016, 1, 11)\n",
    "\n",
    "fig.suptitle(\n",
    "    \"Traffic volume for first full week of the training set\",\n",
    "    fontsize=14,\n",
    "    fontweight=\"bold\",\n",
    ")\n",
    "traffic_first_week = traffic[(traffic.ds >= start) & (traffic.ds < end)]\n",
    "ax.plot(\n",
    "    traffic_first_week[\"ds\"].to_numpy(),\n",
    "    traffic_first_week[\"traffic_volume\"].to_numpy(),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Traffic__: population table\n",
    "\n",
    "To allow the algorithm to capture seasonal information, we include time components (such as the day of the week) as categorical variables. Note that we could have also used getML's Seasonal preprocessor (`getml.prepreprocessors.Seasonal()`), but in this case the information was already included in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Train/test split__\n",
    "\n",
    "We use [getML's split functionality](https://getml.com/latest/reference/data/split) to retrieve a lazily evaluated split column, that we can supply to the time series api below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "split_date = pd.Timestamp(year=2018, month=3, day=15)\n",
    "split = getml.data.split.time(traffic, \"ds\", test=split_date.timestamp())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Split columns are columns of mere strings that can be used to subset the data by forming bolean conditions over them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    text-align: left !important;\n",
       "  }\n",
       "  th.sub-header {\n",
       "    font-weight: normal;\n",
       "    font-style: italic;\n",
       "    text-align: left !important;\n",
       "  }\n",
       "  td {\n",
       "    text-align: left !important;\n",
       "  }\n",
       "  th:nth-child(1) {\n",
       "    text-align: right !important;\n",
       "    border-right: 1px solid LightGray;\n",
       "  }\n",
       "  th.numerical {\n",
       "    text-align: right !important;\n",
       "  }\n",
       "  td.numerical {\n",
       "    text-align: right !important;\n",
       "  }\n",
       "\n",
       "  td.char-align {\n",
       "    text-align: right !important;\n",
       "  }\n",
       "  span.left {\n",
       "    text-align: right;\n",
       "    width: 3em;\n",
       "  }\n",
       "  span.right {\n",
       "    float: right;\n",
       "    text-align: left;\n",
       "  }\n",
       "</style>\n",
       "\n",
       "<table class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      \n",
       "        \n",
       "          <th>name</th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"time_stamp\">                         ds</th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"target\">traffic_volume</th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"categorical\">holiday    </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"categorical\">day        </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"categorical\">month      </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"categorical\">weekday    </th>\n",
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       "    \n",
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       "            <th class=\"sub-header\">role</th>\n",
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       "          \n",
       "            <th class=\"sub-header time_stamp\">                 time_stamp</th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header target\">        target</th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header categorical\">categorical</th>\n",
       "          \n",
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       "    \n",
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       "        \n",
       "          \n",
       "            <th class=\"sub-header\">unit</th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header time_stamp\">time stamp, comparison only</th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header target\">              </th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header categorical\">           </th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header categorical\">day        </th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header categorical\">month      </th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header categorical\">weekday    </th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header categorical\">hour       </th>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <th class=\"sub-header categorical\">year       </th>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "  </thead>\n",
       "  <tbody>\n",
       "    \n",
       "      <tr>\n",
       "        <th>0</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-03-15</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "            \n",
       "          <td class=\"char-align numerical\">\n",
       "            <span class=\"left\">577</span\n",
       "            ><span class=\"right\" style=\"width: 0ch\"\n",
       "              >&nbsp;</span\n",
       "            >\n",
       "          </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">15</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">0</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>1</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-03-15 01:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "            \n",
       "          <td class=\"char-align numerical\">\n",
       "            <span class=\"left\">354</span\n",
       "            ><span class=\"right\" style=\"width: 0ch\"\n",
       "              >&nbsp;</span\n",
       "            >\n",
       "          </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">15</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">1</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>2</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-03-15 02:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "            \n",
       "          <td class=\"char-align numerical\">\n",
       "            <span class=\"left\">259</span\n",
       "            ><span class=\"right\" style=\"width: 0ch\"\n",
       "              >&nbsp;</span\n",
       "            >\n",
       "          </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">15</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>3</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-03-15 03:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "            \n",
       "          <td class=\"char-align numerical\">\n",
       "            <span class=\"left\">360</span\n",
       "            ><span class=\"right\" style=\"width: 0ch\"\n",
       "              >&nbsp;</span\n",
       "            >\n",
       "          </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">15</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>4</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">2018-03-15 04:00:00</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "            \n",
       "          <td class=\"char-align numerical\">\n",
       "            <span class=\"left\">910</span\n",
       "            ><span class=\"right\" style=\"width: 0ch\"\n",
       "              >&nbsp;</span\n",
       "            >\n",
       "          </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">No holiday</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">15</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">3</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">4</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">2018</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>...</th>\n",
       "        \n",
       "          \n",
       "            <td class=\"time_stamp\">...</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            \n",
       "              \n",
       "              \n",
       "            \n",
       "          <td class=\"char-align numerical\">\n",
       "            <span class=\"left\">...</span\n",
       "            ><span class=\"right\" style=\"width: 0ch\"\n",
       "              >&nbsp;</span\n",
       "            >\n",
       "          </td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">...</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">...</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">...</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">...</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">...</td>\n",
       "          \n",
       "        \n",
       "          \n",
       "            <td class=\"categorical\">...</td>\n",
       "          \n",
       "        \n",
       "      </tr>\n",
       "    \n",
       "  </tbody>\n",
       "</table>\n",
       "\n",
       "  <p>\n",
       "    unknown number of rows<br />\n",
       "    \n",
       "    type: getml.data.View<br />\n",
       "    \n",
       "  </p>\n"
      ],
      "text/plain": [
       "name                            ds   traffic_volume   holiday       day           month         weekday       hour       \n",
       "role                    time_stamp           target   categorical   categorical   categorical   categorical   categorical\n",
       "unit   time stamp, comparison only                                  day           month         weekday       hour       \n",
       "   0                    2018-03-15              577   No holiday    15            3             3             0          \n",
       "   1           2018-03-15 01:00:00              354   No holiday    15            3             3             1          \n",
       "   2           2018-03-15 02:00:00              259   No holiday    15            3             3             2          \n",
       "   3           2018-03-15 03:00:00              360   No holiday    15            3             3             3          \n",
       "   4           2018-03-15 04:00:00              910   No holiday    15            3             3             4          \n",
       " ...                           ...              ...   ...           ...           ...           ...           ...        \n",
       "\n",
       "name   year       \n",
       "role   categorical\n",
       "unit   year       \n",
       "   0   2018       \n",
       "   1   2018       \n",
       "   2   2018       \n",
       "   3   2018       \n",
       "   4   2018       \n",
       " ...   ...        \n",
       "\n",
       "\n",
       "unknown number of rows x 8 columns\n",
       "type: getml.data.View"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traffic[split == \"test\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.3 Define relational model\n",
    "\n",
    "To start with relational learning, we need to specify the data model. We manually replicate the appropriate time series structure by setting time series related join conditions (`horizon`, `memory` and `allow_lagged_targets`). We use the [high-level time series api](https://getml.com/latest/reference/data/time_series) for this.\n",
    "\n",
    "Under the hood, the time series api abstracts away a self cross join of the population table (`traffic`) that allows getML's feature learning algorithms to learn patterns from past observations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            <div style='margin-top: 15px; margin-bottom: 5px;'>\n",
       "            <div style='margin-bottom: 10px; font-size: 1rem;'>diagram</div>\n",
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       "            <div style='margin-bottom: 10px; font-size: 1rem;'>staging</div>\n",
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       "  }\n",
       "  td.float {\n",
       "    text-align: right !important;\n",
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       "  th.int {\n",
       "    text-align: right !important;\n",
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       "  td.int {\n",
       "    text-align: right !important;\n",
       "  }\n",
       "</style>\n",
       "\n",
       "<table class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      \n",
       "        \n",
       "          <th class=\"int\"> </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"str\">name   </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"int\"> rows</th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"str\">type     </th>\n",
       "        \n",
       "      \n",
       "    </tr>\n",
       "    \n",
       "  </thead>\n",
       "  <tbody>\n",
       "    \n",
       "      <tr>\n",
       "        <th>0</th>\n",
       "          \n",
       "            \n",
       "              <td class=\"str\">traffic</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"int\">24096</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">DataFrame</td>\n",
       "            \n",
       "          \n",
       "      </tr>\n",
       "    \n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "data model\n",
       "\n",
       "  population:\n",
       "    columns:\n",
       "    - holiday: categorical\n",
       "    - day: categorical\n",
       "    - month: categorical\n",
       "    - weekday: categorical\n",
       "    - hour: categorical\n",
       "    - ...\n",
       "\n",
       "    joins:\n",
       "    - right: 'traffic'\n",
       "      time_stamps: (population.ds, traffic.ds)\n",
       "      relationship: 'many-to-many'\n",
       "      memory: 604800.0\n",
       "      horizon: 3600.0\n",
       "      lagged_targets: True\n",
       "\n",
       "  traffic:\n",
       "    columns:\n",
       "    - holiday: categorical\n",
       "    - day: categorical\n",
       "    - month: categorical\n",
       "    - weekday: categorical\n",
       "    - hour: categorical\n",
       "    - ...\n",
       "\n",
       "\n",
       "container\n",
       "\n",
       "  population\n",
       "      subset   name       rows   type\n",
       "  0   test     traffic    4800   View\n",
       "  1   train    traffic   19296   View\n",
       "\n",
       "  peripheral\n",
       "      name       rows   type     \n",
       "  0   traffic   24096   DataFrame"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_series = getml.data.TimeSeries(\n",
    "    population=traffic,\n",
    "    split=split,\n",
    "    time_stamps=\"ds\",\n",
    "    horizon=getml.data.time.hours(1),\n",
    "    memory=getml.data.time.days(7),\n",
    "    lagged_targets=True,\n",
    ")\n",
    "\n",
    "time_series"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.Predictive modeling\n",
    "\n",
    "We loaded the data, defined the roles, units and the abstract data model. Next, we create a getML pipeline for relational learning."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.1 getML Pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- #### 2.1.1  -->\n",
    "__Set-up of feature learners, selectors & predictor__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "relmt = getml.feature_learning.RelMT(\n",
    "    num_features=20,\n",
    "    loss_function=getml.feature_learning.loss_functions.SquareLoss,\n",
    "    seed=4367,\n",
    "    num_threads=1,\n",
    ")\n",
    "\n",
    "predictor = getml.predictors.XGBoostRegressor()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Build the pipeline__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe = getml.pipeline.Pipeline(\n",
    "    tags=[\"memory: 7d\", \"horizon: 1h\", \"relmt\"],\n",
    "    data_model=time_series.data_model,\n",
    "    feature_learners=[relmt],\n",
    "    predictors=[predictor],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.2 Model training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Checking data model<span style=\"color: #808000; text-decoration-color: #808000\">...</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Checking data model\u001b[33m...\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K  Staging... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[?25h\u001b[?25l"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K  Checking... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[?25h"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">OK.\n",
       "</pre>\n"
      ],
      "text/plain": [
       "OK.\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K  Staging... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[2K  RelMT: Training features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 02:16\n",
      "\u001b[2K  RelMT: Building features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:33\n",
      "\u001b[2K  XGBoost: Training as predictor... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:01\n",
      "\u001b[?25h"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Trained pipeline.\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Trained pipeline.\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time taken: 0:02:52.016844.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre>Pipeline(data_model='population',\n",
       "         feature_learners=['RelMT'],\n",
       "         feature_selectors=[],\n",
       "         include_categorical=False,\n",
       "         loss_function='SquareLoss',\n",
       "         peripheral=['traffic'],\n",
       "         predictors=['XGBoostRegressor'],\n",
       "         preprocessors=[],\n",
       "         share_selected_features=0.5,\n",
       "         tags=['memory: 7d', 'horizon: 1h', 'relmt', 'container-qXknDH'])</pre>"
      ],
      "text/plain": [
       "Pipeline(data_model='population',\n",
       "         feature_learners=['RelMT'],\n",
       "         feature_selectors=[],\n",
       "         include_categorical=False,\n",
       "         loss_function='SquareLoss',\n",
       "         peripheral=['traffic'],\n",
       "         predictors=['XGBoostRegressor'],\n",
       "         preprocessors=[],\n",
       "         share_selected_features=0.5,\n",
       "         tags=['memory: 7d', 'horizon: 1h', 'relmt', 'container-qXknDH'])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe.fit(time_series.train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.3 Model evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "lines_to_next_cell": 0
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K  Staging... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[2K  Preprocessing... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[2K  RelMT: Building features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:07\n",
      "\u001b[?25h"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>\n",
       "  th {\n",
       "    text-align: left !important;\n",
       "  }\n",
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       "  td.float {\n",
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       "  td.int {\n",
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       "</style>\n",
       "\n",
       "<table class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      \n",
       "        \n",
       "          <th class=\"int\"> </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"datetime\">date time          </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"str\">set used</th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"str\">target        </th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"float\">      mae</th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"float\">     rmse</th>\n",
       "        \n",
       "      \n",
       "        \n",
       "          <th class=\"float\">rsquared</th>\n",
       "        \n",
       "      \n",
       "    </tr>\n",
       "    \n",
       "  </thead>\n",
       "  <tbody>\n",
       "    \n",
       "      <tr>\n",
       "        <th>0</th>\n",
       "          \n",
       "            \n",
       "              <td class=\"datetime\">2024-09-12 12:55:01</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">train</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">traffic_volume</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">203.9053</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">299.4105</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.9768</td>\n",
       "            \n",
       "          \n",
       "      </tr>\n",
       "    \n",
       "      <tr>\n",
       "        <th>1</th>\n",
       "          \n",
       "            \n",
       "              <td class=\"datetime\">2024-09-12 12:55:09</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">test</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">traffic_volume</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">184.7593</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">273.3406</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.9811</td>\n",
       "            \n",
       "          \n",
       "      </tr>\n",
       "    \n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "    date time             set used   target                 mae        rmse   rsquared\n",
       "0   2024-09-12 12:55:01   train      traffic_volume    203.9053    299.4105     0.9768\n",
       "1   2024-09-12 12:55:09   test       traffic_volume    184.7593    273.3406     0.9811"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getml_score = pipe.score(time_series.test)\n",
    "getml_score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.4 Studying features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Feature correlations__\n",
    "\n",
    "Correlations of the calculated features with the target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names, correlations = pipe.features.correlations()\n",
    "\n",
    "plt.subplots(figsize=(20, 10))\n",
    "\n",
    "plt.bar(names, correlations)\n",
    "plt.title(\"Feature Correlations\")\n",
    "plt.xlabel(\"Features\")\n",
    "plt.ylabel(\"Correlations\")\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Feature importances__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "lines_to_next_cell": 0
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names, importances = pipe.features.importances()\n",
    "\n",
    "plt.subplots(figsize=(20, 10))\n",
    "\n",
    "plt.bar(names, importances)\n",
    "plt.title(\"Feature Importances\")\n",
    "plt.xlabel(\"Features\")\n",
    "plt.ylabel(\"Importances\")\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Visualizing the learned features__\n",
    "\n",
    "We can also transpile the features as SQL code. Here, we show the most important feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "lines_to_next_cell": 0
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "```sql\n",
       "DROP TABLE IF EXISTS \"FEATURE_1_15\";\n",
       "\n",
       "CREATE TABLE \"FEATURE_1_15\" AS\n",
       "SELECT SUM( \n",
       "    CASE\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * 1.705917878584984e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0001936231536392765 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -8.056960230057425e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -8.056957944693151e-06 + 4.5250889726136045e+01\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -0.0002163034976421974 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.006418032044048922 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001065314179104133 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001065314179104392 + -8.9213352885842269e+01\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -3.82475680050204e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.3034691874247781 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -3.831784833579947e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -3.831784833797431e-06 + -4.2976609616817029e+01\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -5.04897333464575e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.6151515390903501 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -5.372500965248551e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -5.372500965185837e-06 + 7.1864825789196652e+02\n",
       "        ELSE NULL\n",
       "    END\n",
       ") AS \"feature_1_15\",\n",
       "       t1.rowid AS rownum\n",
       "FROM \"POPULATION__STAGING_TABLE_1\" t1\n",
       "INNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\n",
       "ON 1 = 1\n",
       "WHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\n",
       "AND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\n",
       "GROUP BY t1.rowid;\n",
       "```"
      ],
      "text/plain": [
       "'DROP TABLE IF EXISTS \"FEATURE_1_15\";\\n\\nCREATE TABLE \"FEATURE_1_15\" AS\\nSELECT SUM( \\n    CASE\\n        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * 1.705917878584984e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0001936231536392765 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -8.056960230057425e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -8.056957944693151e-06 + 4.5250889726136045e+01\\n        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -0.0002163034976421974 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.006418032044048922 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001065314179104133 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001065314179104392 + -8.9213352885842269e+01\\n        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -3.82475680050204e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.3034691874247781 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -3.831784833579947e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -3.831784833797431e-06 + -4.2976609616817029e+01\\n        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -5.04897333464575e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.6151515390903501 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -5.372500965248551e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -5.372500965185837e-06 + 7.1864825789196652e+02\\n        ELSE NULL\\n    END\\n) AS \"feature_1_15\",\\n       t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\\nAND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\\nGROUP BY t1.rowid;'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_importance = pipe.features.sort(by=\"importance\")\n",
    "by_importance[0].sql"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To showcase getML's ability to handle categorical data, we now look for features that contain information from the holiday column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            \n",
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       "            \n",
       "              <td class=\"str\">feature_1_2</td>\n",
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       "            \n",
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       "            \n",
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       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.0062863</td>\n",
       "            \n",
       "          \n",
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       "    \n",
       "      <tr>\n",
       "        <th>4</th>\n",
       "          \n",
       "            \n",
       "              <td class=\"str\">traffic_volume</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">feature_1_3</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.9661</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.0056305</td>\n",
       "            \n",
       "          \n",
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       "    \n",
       "      <tr>\n",
       "        <th>5</th>\n",
       "          \n",
       "            \n",
       "              <td class=\"str\">traffic_volume</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">feature_1_10</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.9601</td>\n",
       "            \n",
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       "            \n",
       "              <td class=\"float\">0.0045644</td>\n",
       "            \n",
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       "              <td class=\"str\">traffic_volume</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">feature_1_14</td>\n",
       "            \n",
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       "            \n",
       "              <td class=\"float\">0.9665</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.0028168</td>\n",
       "            \n",
       "          \n",
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       "    \n",
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       "        <th>7</th>\n",
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       "            \n",
       "              <td class=\"str\">traffic_volume</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">feature_1_1</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.9653</td>\n",
       "            \n",
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       "            \n",
       "              <td class=\"float\">0.002152</td>\n",
       "            \n",
       "          \n",
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       "            \n",
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       "            \n",
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       "            \n",
       "              <td class=\"str\">feature_1_6</td>\n",
       "            \n",
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       "            \n",
       "              <td class=\"float\">0.963</td>\n",
       "            \n",
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       "        <th>9</th>\n",
       "          \n",
       "            \n",
       "              <td class=\"str\">traffic_volume</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"str\">feature_1_8</td>\n",
       "            \n",
       "          \n",
       "            \n",
       "              <td class=\"float\">0.9648</td>\n",
       "            \n",
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       "              <td class=\"float\">0.0004109</td>\n",
       "            \n",
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       "    \n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "    target           name           correlation   importance\n",
       "0   traffic_volume   feature_1_12        0.9598    0.0135823\n",
       "1   traffic_volume   feature_1_5         0.9669    0.0089131\n",
       "2   traffic_volume   feature_1_2         0.9633    0.006621 \n",
       "3   traffic_volume   feature_1_4         0.9633    0.0062863\n",
       "4   traffic_volume   feature_1_3         0.9661    0.0056305\n",
       "5   traffic_volume   feature_1_10        0.9601    0.0045644\n",
       "6   traffic_volume   feature_1_14        0.9665    0.0028168\n",
       "7   traffic_volume   feature_1_1         0.9653    0.002152 \n",
       "8   traffic_volume   feature_1_6         0.963     0.000826 \n",
       "9   traffic_volume   feature_1_8         0.9648    0.0004109"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w_holiday = by_importance.filter(lambda feature: \"holiday\" in feature.sql)\n",
    "w_holiday"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, getML features which incorporate information about holidays have a rather low importance. This is not that surprising given the fact that most information about holidays is fully reproducible from the extracted calendarial information that is already present. In other words: for the algorithm, it doesn't matter if the traffic is lower on every 4th of July of a given year or if there is a corresponding holiday named 'Independence Day'. Here is the SQL transpilation of the most important feature relying on information about holdidays anyway:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "```sql\n",
       "DROP TABLE IF EXISTS \"FEATURE_1_12\";\n",
       "\n",
       "CREATE TABLE \"FEATURE_1_12\" AS\n",
       "SELECT AVG( \n",
       "    CASE\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.580420 ) AND ( t2.\"holiday\" IN ( 'No holiday' ) ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * 0.0003361531497934741 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 70.70602450793902 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0003365257612470715 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0003365257612470736 + -1.4232019457357859e+02\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.580420 ) AND ( t2.\"holiday\" NOT IN ( 'No holiday' ) OR t2.\"holiday\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * 5.082103619613134e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 68.37913063532808 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 5.087270877254782e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 5.087270877254777e-05 + 5.0724804065820763e+02\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.580420 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" > 6952.594670 ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * -1.10962043270733e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0474280195060898 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.145497543383722e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.145497543228575e-06 + 7.8261472233316871e+00\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.580420 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" <= 6952.594670 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * -0.0001623349073019203 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 9.234221916172794 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -0.0001624870975043922 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -0.0001624870975043915 + -9.4781762415471817e+00\n",
       "        ELSE NULL\n",
       "    END\n",
       ") AS \"feature_1_12\",\n",
       "       t1.rowid AS rownum\n",
       "FROM \"POPULATION__STAGING_TABLE_1\" t1\n",
       "INNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\n",
       "ON 1 = 1\n",
       "WHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\n",
       "AND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\n",
       "GROUP BY t1.rowid;\n",
       "```"
      ],
      "text/plain": [
       "'DROP TABLE IF EXISTS \"FEATURE_1_12\";\\n\\nCREATE TABLE \"FEATURE_1_12\" AS\\nSELECT AVG( \\n    CASE\\n        WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.580420 ) AND ( t2.\"holiday\" IN ( \\'No holiday\\' ) ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * 0.0003361531497934741 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 70.70602450793902 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0003365257612470715 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0003365257612470736 + -1.4232019457357859e+02\\n        WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.580420 ) AND ( t2.\"holiday\" NOT IN ( \\'No holiday\\' ) OR t2.\"holiday\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * 5.082103619613134e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 68.37913063532808 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 5.087270877254782e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 5.087270877254777e-05 + 5.0724804065820763e+02\\n        WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.580420 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" > 6952.594670 ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * -1.10962043270733e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0474280195060898 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.145497543383722e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.145497543228575e-06 + 7.8261472233316871e+00\\n        WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.580420 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" <= 6952.594670 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486345037.599149, 0.0 ) * -0.0001623349073019203 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 9.234221916172794 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -0.0001624870975043922 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -0.0001624870975043915 + -9.4781762415471817e+00\\n        ELSE NULL\\n    END\\n) AS \"feature_1_12\",\\n       t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\\nAND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\\nGROUP BY t1.rowid;'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w_holiday[0].sql"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Plot predictions & traffic volume vs. time__\n",
    "\n",
    "We now plot the predictions against the observed values of the target for the first 7 days of the testing set. You can see that the predictions closely follows the original series. RelMT was able to identify certain patterns in the series, including:\n",
    "- Day and night separation\n",
    "- The daily commuting peeks (on weekdays)\n",
    "- The decline on weekends\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K  Staging... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[2K  Preprocessing... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
      "\u001b[2K  RelMT: Building features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:07\n",
      "\u001b[?25h"
     ]
    }
   ],
   "source": [
    "predictions = pipe.predict(time_series.test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the test set starts at 2018/03/15 – a thursday; we introduce an offset to, once again, start on a monday\n",
    "def limit_view(view):\n",
    "    start_date = \"2018-03-19\"\n",
    "    end_date = \"2018-03-26\"\n",
    "    return view[(view.ds >= start_date) & (view.ds < end_date)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>traffic_volume</th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>565.346191</td>\n",
       "      <td>2018-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>354.738586</td>\n",
       "      <td>2018-03-15 01:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>308.586731</td>\n",
       "      <td>2018-03-15 02:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>353.199097</td>\n",
       "      <td>2018-03-15 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>845.676880</td>\n",
       "      <td>2018-03-15 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4795</th>\n",
       "      <td>3377.394043</td>\n",
       "      <td>2018-09-30 19:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4796</th>\n",
       "      <td>3014.952393</td>\n",
       "      <td>2018-09-30 20:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4797</th>\n",
       "      <td>2510.721191</td>\n",
       "      <td>2018-09-30 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4798</th>\n",
       "      <td>1415.429199</td>\n",
       "      <td>2018-09-30 22:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4799</th>\n",
       "      <td>899.087830</td>\n",
       "      <td>2018-09-30 23:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4800 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      traffic_volume                  ds\n",
       "0         565.346191 2018-03-15 00:00:00\n",
       "1         354.738586 2018-03-15 01:00:00\n",
       "2         308.586731 2018-03-15 02:00:00\n",
       "3         353.199097 2018-03-15 03:00:00\n",
       "4         845.676880 2018-03-15 04:00:00\n",
       "...              ...                 ...\n",
       "4795     3377.394043 2018-09-30 19:00:00\n",
       "4796     3014.952393 2018-09-30 20:00:00\n",
       "4797     2510.721191 2018-09-30 21:00:00\n",
       "4798     1415.429199 2018-09-30 22:00:00\n",
       "4799      899.087830 2018-09-30 23:00:00\n",
       "\n",
       "[4800 rows x 2 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Predict with getML\n",
    "prediction_getml = pd.DataFrame(np.array(predictions), columns=[\"traffic_volume\"])\n",
    "prediction_getml[\"ds\"] = time_series.test.population[\"ds\"].to_numpy()\n",
    "prediction_getml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "lines_to_next_cell": 0
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7449d6f92d90>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "\n",
    "actual = limit_view(time_series.test.population.to_pandas())\n",
    "\n",
    "ax.plot(actual[\"ds\"], actual[\"traffic_volume\"], label=\"Actual\")\n",
    "ax.plot(\n",
    "    actual[\"ds\"],\n",
    "    limit_view(prediction_getml)[\"traffic_volume\"],\n",
    "    label=\"Predicted getML\",\n",
    ")\n",
    "fig.suptitle(\n",
    "    \"Predicted vs. actual traffic volume for first full week of testing set\",\n",
    "    fontsize=14,\n",
    "    fontweight=\"bold\",\n",
    ")\n",
    "fig.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.5 Features\n",
    "\n",
    "The most important feature looks as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "```sql\n",
       "DROP TABLE IF EXISTS \"FEATURE_1_15\";\n",
       "\n",
       "CREATE TABLE \"FEATURE_1_15\" AS\n",
       "SELECT SUM( \n",
       "    CASE\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * 1.705917878584984e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0001936231536392765 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -8.056960230057425e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -8.056957944693151e-06 + 4.5250889726136045e+01\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -0.0002163034976421974 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.006418032044048922 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001065314179104133 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001065314179104392 + -8.9213352885842269e+01\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -3.82475680050204e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.3034691874247781 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -3.831784833579947e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -3.831784833797431e-06 + -4.2976609616817029e+01\n",
       "        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -5.04897333464575e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.6151515390903501 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -5.372500965248551e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -5.372500965185837e-06 + 7.1864825789196652e+02\n",
       "        ELSE NULL\n",
       "    END\n",
       ") AS \"feature_1_15\",\n",
       "       t1.rowid AS rownum\n",
       "FROM \"POPULATION__STAGING_TABLE_1\" t1\n",
       "INNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\n",
       "ON 1 = 1\n",
       "WHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\n",
       "AND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\n",
       "GROUP BY t1.rowid;\n",
       "```"
      ],
      "text/plain": [
       "'DROP TABLE IF EXISTS \"FEATURE_1_15\";\\n\\nCREATE TABLE \"FEATURE_1_15\" AS\\nSELECT SUM( \\n    CASE\\n        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * 1.705917878584984e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0001936231536392765 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -8.056960230057425e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -8.056957944693151e-06 + 4.5250889726136045e+01\\n        WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -0.0002163034976421974 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.006418032044048922 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001065314179104133 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001065314179104392 + -8.9213352885842269e+01\\n        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -3.82475680050204e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.3034691874247781 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -3.831784833579947e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -3.831784833797431e-06 + -4.2976609616817029e+01\\n        WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486176242.728611, 0.0 ) * -5.04897333464575e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.6151515390903501 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -5.372500965248551e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -5.372500965185837e-06 + 7.1864825789196652e+02\\n        ELSE NULL\\n    END\\n) AS \"feature_1_15\",\\n       t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\\nAND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\\nGROUP BY t1.rowid;'"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe.features.to_sql()[pipe.features.sort(by=\"importances\")[0].name]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.6 Productionization\n",
    "\n",
    "It is possible to productionize the pipeline by transpiling the features into production-ready SQL code. Please also refer to getML's `sqlite3` module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creates a folder named interstate94_pipeline containing\n",
    "# the SQL code.\n",
    "pipe.features.to_sql().save(\"interstate94_pipeline\", remove=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While the feature is less smooth, it is really close to what we got in the 1-step case. This is another indication for the presence of strong time-related patterns in the data.\n",
    "\n",
    "### 3. Benchmarks against Prophet\n",
    "\n",
    "By design, Prophet isn't capable of delivering the 1-step ahead predictions we did with getML. In order to retrieve a benchmark in the 1-step case nonetheless, we mimic 1-step ahead predictions through cross validating the model on a rolling origin. This clearly gives Prophet an advantage as all information up to the origin is incorporated when *fitting* the model and a new fit is calculated for every 1-step ahead forecast. Prophet's performance thus has to be viewed as an upper bound. Further, as noted above, we thought it would be interesting to let Multirel and Relboost figure out time based patterns by itself if we provide only deterministic components. So, in a second step, we benchmark this case against Prophet. For both tools, we use very simple models with all hyperparameters set to their default values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "Here we fit the model. We fit a new Prophet model for every hour. This is a computationally expensive operation even for our test subsample of 30 days. For the 720 hours (= 720 models) it may take up to 6 hours. Therefore we read the predictions from disc. If you want to re-estimate the Prophet predictions, you can rename the csv files on disc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    prediction_prophet = pd.read_csv(\"assets/pred_prophet_30d.csv\")\n",
    "    prediction_prophet[\"ds\"] = pd.to_datetime(prediction_prophet[\"ds\"])\n",
    "\n",
    "except FileNotFoundError:\n",
    "    import logging\n",
    "    import cmdstanpy\n",
    "\n",
    "    logger = logging.getLogger(\"cmdstanpy\")\n",
    "    logger.addHandler(logging.NullHandler())\n",
    "    logger.propagate = False\n",
    "    logger.setLevel(logging.CRITICAL)\n",
    "\n",
    "    from prophet import Prophet\n",
    "    from prophet.diagnostics import cross_validation\n",
    "\n",
    "    # Rename columns to follow Prophet convention\n",
    "    traffic_prophet = traffic.to_pandas()[[\"ds\", \"traffic_volume\"]].rename(\n",
    "        {\"traffic_volume\": \"y\"}, axis=\"columns\"\n",
    "    )\n",
    "\n",
    "    # The actual prediction. One model for every 1h ahead prediction.\n",
    "    fit_df = traffic_prophet[traffic_prophet.ds < split_date + pd.Timedelta(\"30d\")]\n",
    "    train_ds = traffic_prophet[traffic_prophet.ds < split_date][\"ds\"]\n",
    "    train_window = train_ds.max() - train_ds.min()\n",
    "\n",
    "    model_prophet = Prophet()\n",
    "    model_prophet.fit(fit_df)\n",
    "\n",
    "    # Cross validate\n",
    "    prediction_prophet = cross_validation(\n",
    "        model_prophet, horizon=\"1h\", period=\"1h\", initial=train_window\n",
    "    )\n",
    "    # Save predictions\n",
    "    prediction_prophet.to_csv(\n",
    "        \"assets/pred_prophet_30d.csv\", encoding=\"utf-8\", index=False\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "Score the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2: 0.8332880369000013\n"
     ]
    }
   ],
   "source": [
    "# Calculate score\n",
    "r2_prophet = (\n",
    "    stats.pearsonr(prediction_prophet[\"yhat\"].values, prediction_prophet[\"y\"].values)[0]\n",
    "    ** 2\n",
    ")\n",
    "print(\"R2:\", r2_prophet)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "getML is able to outperform Prophet's 1-step ahead predictions by about 14 percentage points in terms of predictive accuracy. This is a substantial margin. But we have to state that it may be an unfair comparison because we use Prophet for an application it wasn't designed for. To deal with this critique we also calculate h-step predictions below.\n",
    "\n",
    "Next, we visually compare the 1-step ahead Prophet with 1-step ahead getML predictions. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "Note that with getML we calculate predictions for the *full sample* (instead of just 30 days). This plays as another advantage for Prophet.\n",
    "\n",
    "We inspect the predictions of both models over the course of a week. Here, we plot the getML and Prophet predictions against actual values (data)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "lines_to_next_cell": 0
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17609.0, 17616.0)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "# Plot all together\n",
    "ax.plot(\n",
    "    time_series.test.population.ds,\n",
    "    time_series.test.population.traffic_volume,\n",
    "    label=\"Actual\",\n",
    ")\n",
    "ax.plot(\n",
    "    prediction_getml[\"ds\"], prediction_getml.traffic_volume, label=\"Predicted getML\"\n",
    ")\n",
    "ax.plot(prediction_prophet.ds, prediction_prophet.yhat, label=\"Predicted prophet\")\n",
    "plt.title(\"1-Step-Ahaed Predicitions\")\n",
    "plt.legend()\n",
    "plt.ylabel(\"Traffic Volume\")\n",
    "plt.xlabel(\"Time\")\n",
    "# We shift the data by 5 days to let the plot start on a mondey\n",
    "start_date = pd.Timestamp(year=2018, month=3, day=19)\n",
    "end_date = pd.Timestamp(year=2018, month=3, day=26)\n",
    "plt.xlim(start_date, end_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>traffic_volume</th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>488.241333</td>\n",
       "      <td>2018-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>349.636353</td>\n",
       "      <td>2018-03-19 01:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>294.066284</td>\n",
       "      <td>2018-03-19 02:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>353.199097</td>\n",
       "      <td>2018-03-19 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>845.676880</td>\n",
       "      <td>2018-03-19 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2734.227051</td>\n",
       "      <td>2018-03-25 20:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2313.482910</td>\n",
       "      <td>2018-03-25 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2788.725098</td>\n",
       "      <td>2018-03-25 22:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>1107.663330</td>\n",
       "      <td>2018-03-25 23:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>537.199646</td>\n",
       "      <td>2018-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>169 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     traffic_volume                  ds\n",
       "96       488.241333 2018-03-19 00:00:00\n",
       "97       349.636353 2018-03-19 01:00:00\n",
       "98       294.066284 2018-03-19 02:00:00\n",
       "99       353.199097 2018-03-19 03:00:00\n",
       "100      845.676880 2018-03-19 04:00:00\n",
       "..              ...                 ...\n",
       "260     2734.227051 2018-03-25 20:00:00\n",
       "261     2313.482910 2018-03-25 21:00:00\n",
       "262     2788.725098 2018-03-25 22:00:00\n",
       "263     1107.663330 2018-03-25 23:00:00\n",
       "264      537.199646 2018-03-26 00:00:00\n",
       "\n",
       "[169 rows x 2 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_getml[\n",
    "    (prediction_getml.ds >= start_date) & (prediction_getml.ds <= end_date)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>yhat</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "      <th>y</th>\n",
       "      <th>cutoff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2018-03-19 00:00:00</td>\n",
       "      <td>859.617951</td>\n",
       "      <td>-207.858174</td>\n",
       "      <td>1974.022755</td>\n",
       "      <td>540.0</td>\n",
       "      <td>2018-03-18 23:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2018-03-19 01:00:00</td>\n",
       "      <td>216.459702</td>\n",
       "      <td>-889.354763</td>\n",
       "      <td>1306.151399</td>\n",
       "      <td>293.0</td>\n",
       "      <td>2018-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2018-03-19 02:00:00</td>\n",
       "      <td>-200.431458</td>\n",
       "      <td>-1284.662499</td>\n",
       "      <td>878.980263</td>\n",
       "      <td>254.0</td>\n",
       "      <td>2018-03-19 01:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2018-03-19 03:00:00</td>\n",
       "      <td>-6.085258</td>\n",
       "      <td>-984.172460</td>\n",
       "      <td>1046.820185</td>\n",
       "      <td>348.0</td>\n",
       "      <td>2018-03-19 02:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2018-03-19 04:00:00</td>\n",
       "      <td>927.972706</td>\n",
       "      <td>-159.947263</td>\n",
       "      <td>1975.792030</td>\n",
       "      <td>819.0</td>\n",
       "      <td>2018-03-19 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2018-03-25 20:00:00</td>\n",
       "      <td>2490.645008</td>\n",
       "      <td>1386.373695</td>\n",
       "      <td>3567.847457</td>\n",
       "      <td>2784.0</td>\n",
       "      <td>2018-03-25 19:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2018-03-25 21:00:00</td>\n",
       "      <td>2019.153096</td>\n",
       "      <td>977.311072</td>\n",
       "      <td>3086.498967</td>\n",
       "      <td>3967.0</td>\n",
       "      <td>2018-03-25 20:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2018-03-25 22:00:00</td>\n",
       "      <td>1744.073754</td>\n",
       "      <td>710.266119</td>\n",
       "      <td>2762.178865</td>\n",
       "      <td>1794.0</td>\n",
       "      <td>2018-03-25 21:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2018-03-25 23:00:00</td>\n",
       "      <td>1434.614860</td>\n",
       "      <td>370.683908</td>\n",
       "      <td>2419.102388</td>\n",
       "      <td>984.0</td>\n",
       "      <td>2018-03-25 22:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>2018-03-26 00:00:00</td>\n",
       "      <td>915.967229</td>\n",
       "      <td>-159.422846</td>\n",
       "      <td>1956.315584</td>\n",
       "      <td>518.0</td>\n",
       "      <td>2018-03-25 23:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>169 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     ds         yhat   yhat_lower   yhat_upper       y  \\\n",
       "96  2018-03-19 00:00:00   859.617951  -207.858174  1974.022755   540.0   \n",
       "97  2018-03-19 01:00:00   216.459702  -889.354763  1306.151399   293.0   \n",
       "98  2018-03-19 02:00:00  -200.431458 -1284.662499   878.980263   254.0   \n",
       "99  2018-03-19 03:00:00    -6.085258  -984.172460  1046.820185   348.0   \n",
       "100 2018-03-19 04:00:00   927.972706  -159.947263  1975.792030   819.0   \n",
       "..                  ...          ...          ...          ...     ...   \n",
       "260 2018-03-25 20:00:00  2490.645008  1386.373695  3567.847457  2784.0   \n",
       "261 2018-03-25 21:00:00  2019.153096   977.311072  3086.498967  3967.0   \n",
       "262 2018-03-25 22:00:00  1744.073754   710.266119  2762.178865  1794.0   \n",
       "263 2018-03-25 23:00:00  1434.614860   370.683908  2419.102388   984.0   \n",
       "264 2018-03-26 00:00:00   915.967229  -159.422846  1956.315584   518.0   \n",
       "\n",
       "                  cutoff  \n",
       "96   2018-03-18 23:00:00  \n",
       "97   2018-03-19 00:00:00  \n",
       "98   2018-03-19 01:00:00  \n",
       "99   2018-03-19 02:00:00  \n",
       "100  2018-03-19 03:00:00  \n",
       "..                   ...  \n",
       "260  2018-03-25 19:00:00  \n",
       "261  2018-03-25 20:00:00  \n",
       "262  2018-03-25 21:00:00  \n",
       "263  2018-03-25 22:00:00  \n",
       "264  2018-03-25 23:00:00  \n",
       "\n",
       "[169 rows x 6 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction_prophet[\n",
    "    (prediction_prophet.ds >= start_date) & (prediction_prophet.ds <= end_date)\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "What can we take from this plot? The strong time-related patterns carry on to the testing set and the xgboost is able to incorporate this information to deliver highly accurate 1-step ahead predictions. Notice that Prophets additive components model results in negative predictions for the weekends' lows at night. We can also see an anomaly on March, 24 that neither model is able to predict (feel free to play with the window to verify that its an anomaly).\n",
    "\n",
    "Now we benchmark the performance of h-step ahead forecasts. Remember, in the models, only deterministic features are incorporated. Here, we fit the h-step ahead forecast with Prophet. This is how Prophet is meant to be applied. We allow for multiplicative seasonalities to at least partially remedy the problem with negative predictions discussed above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# h-step ahead forecast with Prophet\n",
    "from IPython.display import Image\n",
    "\n",
    "try:\n",
    "    forecast_prophet = pd.read_csv(\"assets/forecast_prophet.csv\")\n",
    "    forecast_prophet[\"ds\"] = pd.to_datetime(forecast_prophet[\"ds\"])\n",
    "    display(Image(filename=\"components.png\"))\n",
    "except FileNotFoundError:\n",
    "    import logging\n",
    "    import cmdstanpy\n",
    "\n",
    "    logger = logging.getLogger(\"cmdstanpy\")\n",
    "    logger.addHandler(logging.NullHandler())\n",
    "    logger.propagate = False\n",
    "    logger.setLevel(logging.CRITICAL)\n",
    "\n",
    "    from prophet import Prophet\n",
    "\n",
    "    traffic_prophet = traffic.to_pandas().rename(\n",
    "        {\"traffic_volume\": \"y\"}, axis=\"columns\"\n",
    "    )\n",
    "\n",
    "    model_forecast_prophet = Prophet(seasonality_mode=\"multiplicative\")\n",
    "    model_forecast_prophet.fit(traffic_prophet[traffic_prophet.ds < split_date])\n",
    "\n",
    "    future = pd.DataFrame(traffic_prophet[traffic_prophet.ds >= split_date].ds)\n",
    "\n",
    "    forecast_prophet = model_forecast_prophet.predict(future)\n",
    "\n",
    "    forecast_prophet.to_csv(\n",
    "        \"assets/forecast_prophet.csv\", encoding=\"utf-8\", index=False\n",
    "    )\n",
    "    model_forecast_prophet.plot_components(forecast_prophet)\n",
    "    pd.plotting.register_matplotlib_converters()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "A typical Prophet components graph. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "Seasonalities are now applied multiplicatively, but the combination of the totally bottoming out daily cycle and the negative additive trend will result in negative predictions nonetheless.\n",
    "\n",
    "Score the Prophet model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2: 0.8244945581002756\n"
     ]
    }
   ],
   "source": [
    "r2_forecast_prophet = (\n",
    "    stats.pearsonr(\n",
    "        forecast_prophet[\"yhat\"].values,\n",
    "        time_series.test.population.traffic_volume.to_numpy(),\n",
    "    )[0]\n",
    "    ** 2\n",
    ")\n",
    "print(\"R2:\", r2_forecast_prophet)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Conclusion\n",
    "\n",
    "__Benchmarks against Prophet__\n",
    "\n",
    "By design, Prophet isn't capable of delivering the 1-step ahead predictions we did with getML. To retrieve a benchmark in the 1-step case nonetheless, we mimic 1-step ahead predictions through cross-validating the model on a rolling origin. This gives Prophet an advantage as all information up to the origin is incorporated when *fitting* the model and a new fit is calculated for every 1-step ahead forecast.\n",
    "\n",
    "\n",
    "__Results__\n",
    "\n",
    "We have benchmarked getML against Facebook’s Prophet library on a univariate time series with strong seasonal components.\n",
    "Prophet is made for exactly these sort of data sets, so you would expect this to be a home run for Prophet. The opposite is true - getML’s relational learning algorithms outperform Prophet's 1-step ahead predictions by ~15 percentage points:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>R-squared</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>getML</td>\n",
       "      <td>98.11%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>prophet 1-step-ahead</td>\n",
       "      <td>83.33%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>prophet forecast</td>\n",
       "      <td>82.45%</td>\n",
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       "                   Name R-squared\n",
       "0                 getML    98.11%\n",
       "1  prophet 1-step-ahead    83.33%\n",
       "2      prophet forecast    82.45%"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = [getml_score.rsquared, r2_prophet, r2_forecast_prophet]\n",
    "\n",
    "pd.DataFrame(\n",
    "    data={\n",
    "        \"Name\": [\"getML\", \"prophet 1-step-ahead\", \"prophet forecast\"],\n",
    "        \"R-squared\": [f\"{score:.2%}\" for score in scores],\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "getml.engine.shutdown()"
   ]
  }
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