occupancy.ipynb

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            "source": [
                "# Occupancy - A multivariate time series example\n",
                "\n",
                "In this tutorial, you will learn how to apply getML to multivariate time series. It also demonstrates how to use getML's [high-level interface for hyperparameter tuning](https://getml.com/latest/user_guide/concepts/hyperopt#tuning-routines).\n",
                "\n",
                "Summary:\n",
                "\n",
                "- Prediction type: __Binary classification__\n",
                "- Domain: __Energy__\n",
                "- Prediction target: __Room occupancy__\n",
                "- Source data: __1 table, 32k rows__\n",
                "- Population size: __32k__"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Background"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
                    "slide_type": "slide"
                }
            },
            "source": [
                "Our use case is a public domain data set for predicting room occupancy from sensor data. The results achieved using getML outperform all published results on this data set. Note that this is not only a neat use case for machine learning algorithms, but a real-world application with tangible consequences: If room occupancy is known with sufficient certainty, it can be applied to the control systems of a building. Such as system can reduce the energy consumption by [up to 50 %](https://ieeexplore.ieee.org/document/7566062).\n",
                "\n",
                "\n",
                "### Introduction to occupancy prediction\n",
                "\n",
                "Usually, getML is considered to be a tool for feature engineering and machine learning on relational data sets. How can we apply it to (multivariate) time series?\n",
                "\n",
                "The key is a _self-join_. Instead of creating features by merging and aggregating peripheral tables in a relational data model, for a time-series, we perform the same operations on the population table itself. This results in features like these:\n",
                "\n",
                "* Aggregations over time, such as the average value of some column for the last 3 days.\n",
                "\n",
                "* Seasonal effects, such as today is a Wednesday, so let's get the average value for the last four Wednesdays.\n",
                "\n",
                "* Lag variables, such as get the value of some column from two hours ago.\n",
                "\n",
                "Using getML's algorithms for relational learning, we can extract all of these features automatically. Having created a flat table of such features, we can then apply state-of-the-art machine learning algorithms, like xgboost. As you will see in this example, this performs better than traditional time series analysis.\n",
                "\n",
                "The present analysis is based on a public domain time series dataset. It is available in the [UC Irvine Machine Learning Repository](http://archive.ics.uci.edu/ml/datasets/Occupancy+Detection). The challenge is straightforward: We want to predict whether an office room is occupied at a given moment in time using sensor data. The data is measured about once a minute. Ground-truth occupancy was obtained from time-stamped pictures. The available columns are\n",
                "\n",
                "* Date, year-month-day hour:minute:second\n",
                "* Temperature, in Celsius\n",
                "* Relative Humidity, %\n",
                "* Light, in Lux\n",
                "* CO2, in ppm\n",
                "* Humidity Ratio, Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air\n",
                "* Occupancy, 0 or 1, 0 for not occupied, 1 for occupied status\n",
                "\n",
                "As a reference and benchmark, we use [this paper](https://www.sciencedirect.com/science/article/abs/pii/S0378778815304357):\n",
                "\n",
                "> Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, Veronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.\n",
                "\n",
                "The authors apply various artifical neural networks algorithms to the data set at hand and achieved accuracies between 80.324% (batch back algorithm) and 99.061% (limited memory quasi-Newton algorithm)."
            ]
        },
        {
            "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": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "%pip install -q \"getml==1.5.0\" \"matplotlib==3.9.2\" \"ipywidgets==8.1.5\""
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "getML API version: 1.5.0\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "import matplotlib.pyplot as plt\n",
                "\n",
                "import getml\n",
                "\n",
                "%matplotlib inline\n",
                "\n",
                "print(f\"getML API version: {getml.__version__}\\n\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "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/20240912154725.log.\n"
                    ]
                },
                {
                    "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\">'occupancy'</span>.\n",
                            "</pre>\n"
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                        "text/plain": [
                            "Connected to project \u001b[32m'occupancy'\u001b[0m.\n"
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                }
            ],
            "source": [
                "getml.engine.launch(allow_remote_ips=True, token='token')\n",
                "getml.engine.set_project(\"occupancy\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### 1. Loading data\n"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "The data set can be downloaded directly from GitHub. It is conveniently separated into a training, a validation and a testing set. This allows us to directly benchmark our results against the results of the original paper later."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [],
            "source": [
                "(\n",
                "    population_train,\n",
                "    population_test,\n",
                "    population_validation,\n",
                ") = getml.datasets.load_occupancy()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [],
            "source": [
                "population, split = getml.data.split.concat(\n",
                "    \"population\",\n",
                "    train=population_train,\n",
                "    validation=population_validation,\n",
                "    test=population_test,\n",
                ")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "The training set looks like this:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {
                "tags": [
                    "hide_input"
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            "outputs": [
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                            "            <td class=\"time_stamp\">2015-02-04 17:54:00</td>\n",
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                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">426</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">708</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.25</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004772</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>4</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-04 17:55:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">23</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.1</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.2</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">426</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">704</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004757</span\n",
                            "              >\n",
                            "            </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 target\">\n",
                            "              <span class=\"left\">...</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 3ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 4ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 6ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20555</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:15:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.815</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.7175</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">429</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.75</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1505</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.25</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004213</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20556</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:16:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.865</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.745</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">423</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1514</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.00423</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20557</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:16:59</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.89</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.745</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">423</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1521</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004237</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20558</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:17:59</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.89</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">28</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.0225</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">418</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.75</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1632</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004279</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20559</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:19:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">21</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">28</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.1</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">409</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1864</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004321</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "  </tbody>\n",
                            "</table>\n",
                            "\n",
                            "  <p>\n",
                            "    20560 rows x 7 columns<br />\n",
                            "    memory usage: 1.15 MB<br />\n",
                            "    name: population<br />\n",
                            "    type: getml.DataFrame<br />\n",
                            "    \n",
                            "  </p>\n"
                        ],
                        "text/plain": [
                            " name                  date   Occupancy   Temperature    Humidity       Light         CO2   HumidityRatio\n",
                            " role            time_stamp      target     numerical   numerical   numerical   numerical       numerical\n",
                            " unit            time stamp                                                                              \n",
                            "    0   2015-02-04 17:51:00           1        23.18      27.272       426         721.25        0.004793\n",
                            "    1   2015-02-04 17:51:59           1        23.15      27.2675      429.5       714           0.004783\n",
                            "    2   2015-02-04 17:53:00           1        23.15      27.245       426         713.5         0.004779\n",
                            "    3   2015-02-04 17:54:00           1        23.15      27.2         426         708.25        0.004772\n",
                            "    4   2015-02-04 17:55:00           1        23.1       27.2         426         704.5         0.004757\n",
                            "                        ...         ...        ...        ...           ...         ...         ...      \n",
                            "20555   2015-02-18 09:15:00           1        20.815     27.7175      429.75     1505.25        0.004213\n",
                            "20556   2015-02-18 09:16:00           1        20.865     27.745       423.5      1514.5         0.00423 \n",
                            "20557   2015-02-18 09:16:59           1        20.89      27.745       423.5      1521.5         0.004237\n",
                            "20558   2015-02-18 09:17:59           1        20.89      28.0225      418.75     1632           0.004279\n",
                            "20559   2015-02-18 09:19:00           1        21         28.1         409        1864           0.004321\n",
                            "\n",
                            "\n",
                            "20560 rows x 7 columns\n",
                            "memory usage: 1.15 MB\n",
                            "type: getml.DataFrame"
                        ]
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "population"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We also assign roles to each column. To learn more about what roles do and why we need them, check out the [official documentation](https://getml.com/latest/user_guide/concepts/annotating_data)."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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                            "        \n",
                            "          <th> name</th>\n",
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                            "          <th class=\"time_stamp\">               date</th>\n",
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                            "          <th class=\"target\">Occupancy</th>\n",
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                            "          <th class=\"numerical\">    Light</th>\n",
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                            "          <th class=\"numerical\">      CO2</th>\n",
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                            "          <th class=\"numerical\">HumidityRatio</th>\n",
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                            "            <th class=\"sub-header\"> unit</th>\n",
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                            "        \n",
                            "          \n",
                            "            <th class=\"sub-header time_stamp\">         time stamp</th>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            <th class=\"sub-header target\">         </th>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            <th class=\"sub-header numerical\">           </th>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            <th class=\"sub-header numerical\">         </th>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            <th class=\"sub-header numerical\">         </th>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            <th class=\"sub-header numerical\">         </th>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            <th class=\"sub-header numerical\">             </th>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>0</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-04 17:51:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">23</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.18</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.272</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">426</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">721</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.25</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004793</span\n",
                            "              >\n",
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                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>1</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-04 17:51:59</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">23</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.15</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.2675</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">429</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">714</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004783</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>2</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-04 17:53:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">23</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.15</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.245</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">426</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">713</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004779</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>3</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-04 17:54:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">23</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.15</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.2</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">426</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">708</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.25</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004772</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>4</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-04 17:55:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">23</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.1</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.2</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">426</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">704</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004757</span\n",
                            "              >\n",
                            "            </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 target\">\n",
                            "              <span class=\"left\">...</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 3ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 4ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </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: 6ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20555</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:15:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.815</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.7175</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">429</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.75</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1505</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.25</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004213</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20556</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:16:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.865</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.745</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">423</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1514</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.00423</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20557</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:16:59</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.89</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">27</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.745</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">423</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1521</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.5</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004237</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20558</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:17:59</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">20</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >.89</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">28</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.0225</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">418</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >.75</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1632</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004279</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>20559</th>\n",
                            "        \n",
                            "          \n",
                            "            <td class=\"time_stamp\">2015-02-18 09:19:00</td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align target\">\n",
                            "              <span class=\"left\">1</span\n",
                            "              ><span class=\"right\" style=\"width: 0ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">21</span\n",
                            "              ><span class=\"right\" style=\"width: 3ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">28</span\n",
                            "              ><span class=\"right\" style=\"width: 4ch\"\n",
                            "                >.1</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">409</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "          \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">1864</span\n",
                            "              ><span class=\"right\" style=\"width: 2ch\"\n",
                            "                >&nbsp;</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "          \n",
                            "            \n",
                            "              \n",
                            "              \n",
                            "            \n",
                            "            <td class=\"char-align numerical\">\n",
                            "              <span class=\"left\">0</span\n",
                            "              ><span class=\"right\" style=\"width: 6ch\"\n",
                            "                >.004321</span\n",
                            "              >\n",
                            "            </td>\n",
                            "          \n",
                            "        \n",
                            "      </tr>\n",
                            "    \n",
                            "  </tbody>\n",
                            "</table>\n",
                            "\n",
                            "  <p>\n",
                            "    20560 rows x 7 columns<br />\n",
                            "    memory usage: 1.15 MB<br />\n",
                            "    name: population<br />\n",
                            "    type: getml.DataFrame<br />\n",
                            "    \n",
                            "  </p>\n"
                        ],
                        "text/plain": [
                            " name                  date   Occupancy   Temperature    Humidity       Light         CO2   HumidityRatio\n",
                            " role            time_stamp      target     numerical   numerical   numerical   numerical       numerical\n",
                            " unit            time stamp                                                                              \n",
                            "    0   2015-02-04 17:51:00           1        23.18      27.272       426         721.25        0.004793\n",
                            "    1   2015-02-04 17:51:59           1        23.15      27.2675      429.5       714           0.004783\n",
                            "    2   2015-02-04 17:53:00           1        23.15      27.245       426         713.5         0.004779\n",
                            "    3   2015-02-04 17:54:00           1        23.15      27.2         426         708.25        0.004772\n",
                            "    4   2015-02-04 17:55:00           1        23.1       27.2         426         704.5         0.004757\n",
                            "                        ...         ...        ...        ...           ...         ...         ...      \n",
                            "20555   2015-02-18 09:15:00           1        20.815     27.7175      429.75     1505.25        0.004213\n",
                            "20556   2015-02-18 09:16:00           1        20.865     27.745       423.5      1514.5         0.00423 \n",
                            "20557   2015-02-18 09:16:59           1        20.89      27.745       423.5      1521.5         0.004237\n",
                            "20558   2015-02-18 09:17:59           1        20.89      28.0225      418.75     1632           0.004279\n",
                            "20559   2015-02-18 09:19:00           1        21         28.1         409        1864           0.004321\n",
                            "\n",
                            "\n",
                            "20560 rows x 7 columns\n",
                            "memory usage: 1.15 MB\n",
                            "type: getml.DataFrame"
                        ]
                    },
                    "execution_count": 7,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "population.set_role([\"Occupancy\"], getml.data.roles.target)\n",
                "population.set_role(\n",
                "    [\"Temperature\", \"Humidity\", \"Light\", \"CO2\", \"HumidityRatio\"],\n",
                "    getml.data.roles.numerical,\n",
                ")\n",
                "population.set_role([\"date\"], getml.data.roles.time_stamp)\n",
                "\n",
                "population"
            ]
        },
        {
            "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\n",
                "\n",
                "We use a [Multirel](https://getml.com/latest/user_guide/concepts/feature_engineering/#feature-engineering-algorithms-multirel) for generating the features and a simple logistic regression for prediction.\n",
                "\n",
                "We do not spend much effort on the hyperparameters and largely go with the default values. The only exception is that we add some regularization to the XGBoostClassifiers.\n",
                "\n",
                "We choose to consider data within the last 15 minutes for creating our features."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<span style='font-size: 1.2rem; font-weight: 500;'>data model</span>\n",
                            "            <div style='margin-top: 15px; margin-bottom: 5px;'>\n",
                            "            <div style='margin-bottom: 10px; font-size: 1rem;'>diagram</div>\n",
                            "            <div style=\"height:100px;width:660px;position:relative;\"><svg height=\"90\" width=\"650\"><rect y=\"0\" x=\"0\" rx=\"10\" ry=\"10\" width=\"150\" height=\"90\" style=\"fill:#6829c2;stroke-width:0;\" /><text y=\"73.8\" x=\"75.0\" dominant-baseline=\"middle\" text-anchor=\"middle\" fill=\"white\">population</text><rect x=\"51\" y=\"10\" rx=\"4\" ry=\"4\" width=\"48\" height=\"48\" style=\" fill:#6829c2;stroke:#ffffff;stroke-width:3;\" /><line x1=\"67.0\" y1=\"10\" x2=\"67.0\" y2=\"58\" style=\"stroke:white;stroke-width:3\" /><line x1=\"83.0\" y1=\"10\" x2=\"83.0\" y2=\"58\" style=\"stroke:white;stroke-width:3\" /><line x1=\"51\" y1=\"26.0\" x2=\"99\" y2=\"26.0\" style=\"stroke:white;stroke-width:3\" /><line x1=\"51\" y1=\"42.0\" x2=\"99\" y2=\"42.0\" style=\"stroke:white;stroke-width:3\" /><rect y=\"0\" x=\"500\" rx=\"10\" ry=\"10\" width=\"150\" height=\"90\" style=\"fill:#6829c2;stroke-width:0;\" /><text y=\"73.8\" x=\"575.0\" dominant-baseline=\"middle\" text-anchor=\"middle\" fill=\"white\">population</text><rect x=\"551\" y=\"10\" rx=\"4\" ry=\"4\" width=\"48\" height=\"48\" style=\" fill:#6829c2;stroke:#ffffff;stroke-width:3;\" /><line x1=\"567.0\" y1=\"10\" x2=\"567.0\" y2=\"58\" style=\"stroke:white;stroke-width:3\" /><line x1=\"583.0\" y1=\"10\" x2=\"583.0\" y2=\"58\" style=\"stroke:white;stroke-width:3\" /><line x1=\"551\" y1=\"26.0\" x2=\"599\" y2=\"26.0\" style=\"stroke:white;stroke-width:3\" /><line x1=\"551\" y1=\"42.0\" x2=\"599\" y2=\"42.0\" style=\"stroke:white;stroke-width:3\" /><line x1=\"150\" y1=\"43.0\" x2=\"490\" y2=\"43.0\" style=\"stroke:#808080;;stroke-width:4\" /><polygon points=\"500, 43.0 490, 37.0 490, 49.0 \" style=\"fill:#808080;;stroke-width:0;\" /><rect y=\"10.0\" x=\"249.0\" rx=\"10\" ry=\"10\" width=\"150\" height=\"70\" style=\"fill:#6829c2;stroke-width:0;\" /><text dominant-baseline=\"middle\" text-anchor=\"middle\" fill=\"white\"><tspan y=\"40.0\" x=\"324.0\" font-size=\"7pt\" >date &lt;= date</tspan><tspan y=\"50.0\" x=\"324.0\" font-size=\"7pt\" >Memory: 15.0 minutes</tspan></text></svg></div>\n",
                            "            </div>\n",
                            "\n",
                            "            <div style='margin-top: 15px;'>\n",
                            "            <div style='margin-bottom: 10px; font-size: 1rem;'>staging</div>\n",
                            "            <style>\n",
                            "  th {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  td {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  th:nth-child(1) {\n",
                            "    text-align: right;\n",
                            "    border-right: 1px solid LightGray;\n",
                            "  }\n",
                            "  th.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  td.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  th.int {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  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\">data frames</th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"str\">staging table              </th>\n",
                            "        \n",
                            "      \n",
                            "    </tr>\n",
                            "    \n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>0</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">POPULATION__STAGING_TABLE_1</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>1</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">POPULATION__STAGING_TABLE_2</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "  </tbody>\n",
                            "</table>\n",
                            "            </div>\n",
                            "            \n",
                            "<span style='font-size: 1.2rem; font-weight: 500;'>container</span>\n",
                            "<div style='margin-top: 15px;'>\n",
                            "<div style='float: left; margin-right: 50px;'>\n",
                            "<div style='margin-bottom: 10px; font-size: 1rem;'>population</div>\n",
                            "    <style>\n",
                            "  th {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  td {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  th:nth-child(1) {\n",
                            "    text-align: right;\n",
                            "    border-right: 1px solid LightGray;\n",
                            "  }\n",
                            "  th.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  td.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  th.int {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  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\">subset    </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\">test</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"int\">9751</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">View</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>1</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">train</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"int\">8144</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">View</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>2</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">validation</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"int\">2665</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">View</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>\n",
                            "<div style='float: left;'>\n",
                            "<div style='margin-bottom: 10px; font-size: 1rem;'>peripheral</div>\n",
                            "    <style>\n",
                            "  th {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  td {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  th:nth-child(1) {\n",
                            "    text-align: right;\n",
                            "    border-right: 1px solid LightGray;\n",
                            "  }\n",
                            "  th.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  td.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  th.int {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  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\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"int\">20560</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",
                            "    - Temperature: numerical\n",
                            "    - Humidity: numerical\n",
                            "    - Light: numerical\n",
                            "    - CO2: numerical\n",
                            "    - HumidityRatio: numerical\n",
                            "    - ...\n",
                            "\n",
                            "    joins:\n",
                            "    - right: 'population'\n",
                            "      time_stamps: (population.date, population.date)\n",
                            "      relationship: 'many-to-many'\n",
                            "      memory: 900.0\n",
                            "      horizon: 0.0\n",
                            "      lagged_targets: False\n",
                            "\n",
                            "  population:\n",
                            "    columns:\n",
                            "    - Temperature: numerical\n",
                            "    - Humidity: numerical\n",
                            "    - Light: numerical\n",
                            "    - CO2: numerical\n",
                            "    - HumidityRatio: numerical\n",
                            "    - ...\n",
                            "\n",
                            "\n",
                            "container\n",
                            "\n",
                            "  population\n",
                            "      subset       name         rows   type\n",
                            "  0   test         population   9751   View\n",
                            "  1   train        population   8144   View\n",
                            "  2   validation   population   2665   View\n",
                            "\n",
                            "  peripheral\n",
                            "      name          rows   type     \n",
                            "  0   population   20560   DataFrame"
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Our forecast horizon is 0.\n",
                "# We do not predict the future, instead we infer\n",
                "# the present state from current and past sensor data.\n",
                "horizon = 0.0\n",
                "\n",
                "# We do not allow the time series features\n",
                "# to use target values from the past.\n",
                "# (Otherwise, we would need the horizon to\n",
                "# be greater than 0.0).\n",
                "allow_lagged_targets = False\n",
                "\n",
                "# We want our time series features to only use\n",
                "# data from the last 15 minutes\n",
                "memory = getml.data.time.minutes(15)\n",
                "\n",
                "time_series = getml.data.TimeSeries(\n",
                "    population=population,\n",
                "    split=split,\n",
                "    time_stamps=\"date\",\n",
                "    horizon=horizon,\n",
                "    memory=memory,\n",
                "    lagged_targets=allow_lagged_targets,\n",
                ")\n",
                "\n",
                "time_series"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<pre>Pipeline(data_model='population',\n",
                            "         feature_learners=['Multirel'],\n",
                            "         feature_selectors=[],\n",
                            "         include_categorical=False,\n",
                            "         loss_function='CrossEntropyLoss',\n",
                            "         peripheral=['population'],\n",
                            "         predictors=['LogisticRegression'],\n",
                            "         preprocessors=[],\n",
                            "         share_selected_features=0.5,\n",
                            "         tags=['memory=15', 'logistic regression'])</pre>"
                        ],
                        "text/plain": [
                            "Pipeline(data_model='population',\n",
                            "         feature_learners=['Multirel'],\n",
                            "         feature_selectors=[],\n",
                            "         include_categorical=False,\n",
                            "         loss_function='CrossEntropyLoss',\n",
                            "         peripheral=['population'],\n",
                            "         predictors=['LogisticRegression'],\n",
                            "         preprocessors=[],\n",
                            "         share_selected_features=0.5,\n",
                            "         tags=['memory=15', 'logistic regression'])"
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feature_learner = getml.feature_learning.Multirel(\n",
                "    loss_function=getml.feature_learning.loss_functions.CrossEntropyLoss,\n",
                ")\n",
                "\n",
                "predictor = getml.predictors.LogisticRegression()\n",
                "\n",
                "pipe = getml.pipeline.Pipeline(\n",
                "    data_model=time_series.data_model,\n",
                "    tags=[\"memory=15\", \"logistic regression\"],\n",
                "    feature_learners=[feature_learner],\n",
                "    predictors=[predictor]\n",
                "    \n",
                ")\n",
                "\n",
                "pipe"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "`.check(...)` will be automatically called by `.fit(...)`. But it is always a good idea to call `.check(...)` separately before fitting, so we still have time for some last-minute fixes."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "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[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"
                }
            ],
            "source": [
                "pipe.check(time_series.train)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "#### 2.2 Model training\n",
                "\n",
                "We use a routine for automatic [hyperparameter optimization](https://getml.com/latest/reference/hyperopt) to find the best parameters for the predictor:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "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[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  Tuning logistic regression... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 03:06\n",
                        "\u001b[?25hTime taken: 0:03:06.269772.\n",
                        "\n"
                    ]
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Building final pipeline<span style=\"color: #808000; text-decoration-color: #808000\">...</span>\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "Building final pipeline\u001b[33m...\u001b[0m\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "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"
                    ]
                },
                {
                    "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  Multirel: Training features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:09\n",
                        "\u001b[2K  Multirel: Building features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:02\n",
                        "\u001b[2K  Staging... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
                        "\u001b[2K  Preprocessing... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
                        "\u001b[2K  Multirel: Building features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
                        "\u001b[2K  LogisticRegression: Training as predictor... ━━━━━━━━━━━━━━━━━━━━ 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\">Trained pipeline.\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "Trained pipeline.\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Time taken: 0:00:13.435908.\n",
                        "\n",
                        "\u001b[2K  Staging... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
                        "\u001b[2K  Preprocessing... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
                        "\u001b[2K  Multirel: Building features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:01\n",
                        "\u001b[?25h"
                    ]
                }
            ],
            "source": [
                "pipe = getml.hyperopt.tune_predictors(pipe, time_series)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "The logistic regression has one hyperparameter that can be optimized, namely its L2 regularization parameter. We fine-tune this parameter using the validation set. Note that the validation set is different from the testing set on which the final outcome will be evaluated."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "#### 2.3 Model evaluation"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Let's see how well we did by scoring the model on the testing set."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\u001b[2K  Staging... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
                        "\u001b[2K  Preprocessing... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:00\n",
                        "\u001b[2K  Multirel: Building features... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% • 00:02\n",
                        "\u001b[?25h"
                    ]
                },
                {
                    "data": {
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                            "        \n",
                            "          <th class=\"str\">set used  </th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"str\">target   </th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"float\">accuracy</th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"float\">    auc</th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"float\">cross entropy</th>\n",
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                            "    \n",
                            "  </thead>\n",
                            "  <tbody>\n",
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                            "      <tr>\n",
                            "        <th>0</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"datetime\">2024-09-12 15:44:58</td>\n",
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                            "          \n",
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                            "              <td class=\"str\">train</td>\n",
                            "            \n",
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                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.9886</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.9948</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.3937</td>\n",
                            "            \n",
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                            "        <th>1</th>\n",
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                            "              <td class=\"datetime\">2024-09-12 15:45:00</td>\n",
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                            "              <td class=\"float\">0.9786</td>\n",
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                            "        <th>2</th>\n",
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                            "              <td class=\"datetime\">2024-09-12 15:45:03</td>\n",
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                            "              <td class=\"str\">Occupancy</td>\n",
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                            "            \n",
                            "              <td class=\"float\">0.9933</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.9983</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.3911</td>\n",
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                        ],
                        "text/plain": [
                            "    date time             set used     target      accuracy       auc   cross entropy\n",
                            "0   2024-09-12 15:44:58   train        Occupancy     0.9886    0.9948          0.3937\n",
                            "1   2024-09-12 15:45:00   validation   Occupancy     0.9786    0.9937          0.3594\n",
                            "2   2024-09-12 15:45:03   test         Occupancy     0.9933    0.9983          0.3911"
                        ]
                    },
                    "execution_count": 12,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "pipe.score(time_series.test)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "In the [original paper](http://www.worldresearchlibrary.org/up_proc/pdf/568-148612088816-20.pdf), the authors tried several approaches. The best out-of-sample values of all the approaches they tried are the following:\n",
                "\n",
                "* Accuracy (testing): 0.99061\n",
                "* AUC (testing): 0.99574\n",
                "\n",
                "Note that our results outperform the best approach from the original paper, both in terms of accuracy as well as AUC.\n",
                "This demonstrates how powerful getML's relational learning approach is also a powerful tool for time series."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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                        "text/plain": [
                            "<Figure size 2000x1000 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Refers to the data from the last time\n",
                "# we called .score(...).\n",
                "fpr, tpr = pipe.plots.roc_curve()\n",
                "\n",
                "plt.subplots(figsize=(20, 10))\n",
                "\n",
                "plt.plot(fpr, tpr)\n",
                "\n",
                "plt.title(\"receiver operating characteristic (ROC)\")\n",
                "plt.grid(True)\n",
                "plt.xlabel(\"false positive rate\")\n",
                "plt.ylabel(\"true positive rate\")\n",
                "\n",
                "plt.show()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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                        "text/plain": [
                            "<Figure size 2000x1000 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Refers to the data from the last time\n",
                "# we called .score(...).\n",
                "recall, precision = pipe.plots.precision_recall_curve()\n",
                "\n",
                "plt.subplots(figsize=(20, 10))\n",
                "\n",
                "plt.plot(recall, precision)\n",
                "\n",
                "plt.title(\"precision-recall curve\")\n",
                "plt.grid(True)\n",
                "plt.xlabel(\"recall (true positive rate)\")\n",
                "plt.ylabel(\"precision\")\n",
                "\n",
                "plt.show()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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                        "text/plain": [
                            "<Figure size 2000x1000 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Refers to the data from the last time\n",
                "# we called .score(...).\n",
                "proportion, lift = pipe.plots.lift_curve()\n",
                "\n",
                "plt.subplots(figsize=(20, 10))\n",
                "\n",
                "plt.plot(proportion, lift)\n",
                "\n",
                "plt.title(\"lift curve\")\n",
                "plt.grid(True)\n",
                "plt.xlabel(\"proportion\")\n",
                "plt.ylabel(\"lift\")\n",
                "\n",
                "plt.show()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "#### 2.4 Studying the features\n",
                "\n",
                "It is always a good idea to study the features the relational learning algorithm has extracted. We can do so in the [feature view](https://getml.com/latest/user_guide/concepts/getml_suite/#monitor-concepts#the-getml-monitor) of the getML monitor. Open the monitor and select the models tab in the sidebar. You will see an overview over the trained pipelines. Select a pipeline to see the most essential summary plots.\n",
                "\n",
                "If you want to document them inside your notebook, here is how you can do that:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
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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=\"str\">target   </th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"str\">name         </th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"float\">correlation</th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"float\">importance</th>\n",
                            "        \n",
                            "      \n",
                            "    </tr>\n",
                            "    \n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>0</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">feature_1_1</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.979</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.009909</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>1</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">feature_1_2</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.9784</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.009903</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>2</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">feature_1_3</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.9739</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.009595</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>3</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">feature_1_4</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">-0.9776</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.00991</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>4</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">feature_1_5</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.9795</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.009937</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th></th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">...</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">...</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">...</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">...</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>100</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">temperature</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.5217</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.005354</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>101</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">humidity</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">-0.0878</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.001188</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>102</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">light</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.9145</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.009281</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>103</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">co2</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.2618</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.007209</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>104</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">humidityratio</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.19</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float\">0.002845</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "  </tbody>\n",
                            "</table>"
                        ],
                        "text/plain": [
                            "      target      name            correlation   importance\n",
                            "  0   Occupancy   feature_1_1          0.979      0.009909\n",
                            "  1   Occupancy   feature_1_2          0.9784     0.009903\n",
                            "  2   Occupancy   feature_1_3          0.9739     0.009595\n",
                            "  3   Occupancy   feature_1_4         -0.9776     0.00991 \n",
                            "  4   Occupancy   feature_1_5          0.9795     0.009937\n",
                            "      ...         ...                     ...          ...\n",
                            "100   Occupancy   temperature          0.5217     0.005354\n",
                            "101   Occupancy   humidity            -0.0878     0.001188\n",
                            "102   Occupancy   light                0.9145     0.009281\n",
                            "103   Occupancy   co2                  0.2618     0.007209\n",
                            "104   Occupancy   humidityratio        0.19       0.002845"
                        ]
                    },
                    "execution_count": 16,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "pipe.features"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "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",
                "\n",
                "plt.title(\"feature correlations\")\n",
                "plt.grid(True)\n",
                "plt.xlabel(\"features\")\n",
                "plt.ylabel(\"correlations\")\n",
                "plt.xticks(rotation=\"vertical\")\n",
                "\n",
                "plt.show()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {
                "tags": [
                    "hide_input"
                ]
            },
            "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",
                "\n",
                "plt.title(\"feature importances\")\n",
                "plt.grid(True)\n",
                "plt.xlabel(\"features\")\n",
                "plt.ylabel(\"importance\")\n",
                "plt.xticks(rotation=\"vertical\")\n",
                "\n",
                "plt.show()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "The feature importance is calculated by XGBoost based on the improvement of the optimizing criterium at each split in the decision tree and is normalized to 100%.\n",
                "\n",
                "We first look at the most important feature. The names returned by feature importances are already sorted, so we can just index them, like this:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "```sql\n",
                            "DROP TABLE IF EXISTS \"FEATURE_1_90\";\n",
                            "\n",
                            "CREATE TABLE \"FEATURE_1_90\" AS\n",
                            "SELECT MAX( t1.\"date\" - t2.\"date\" ) AS \"feature_1_90\",\n",
                            "       t1.rowid AS rownum\n",
                            "FROM \"POPULATION__STAGING_TABLE_1\" t1\n",
                            "INNER JOIN \"POPULATION__STAGING_TABLE_2\" t2\n",
                            "ON 1 = 1\n",
                            "WHERE ( t2.\"date\" <= t1.\"date\"\n",
                            "AND ( t2.\"date__15_000000_minutes\" > t1.\"date\" OR t2.\"date__15_000000_minutes\" IS NULL )\n",
                            ") AND (\n",
                            "   ( ( t1.\"light\" > 360.256870 OR t1.\"light\" IS NULL  ) AND ( t2.\"light\" > 609.161616 ) )\n",
                            "OR ( ( t1.\"light\" <= 360.256870 ) )\n",
                            ")\n",
                            "GROUP BY t1.rowid;\n",
                            "```"
                        ],
                        "text/plain": [
                            "'DROP TABLE IF EXISTS \"FEATURE_1_90\";\\n\\nCREATE TABLE \"FEATURE_1_90\" AS\\nSELECT MAX( t1.\"date\" - t2.\"date\" ) AS \"feature_1_90\",\\n       t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"POPULATION__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE ( t2.\"date\" <= t1.\"date\"\\nAND ( t2.\"date__15_000000_minutes\" > t1.\"date\" OR t2.\"date__15_000000_minutes\" IS NULL )\\n) AND (\\n   ( ( t1.\"light\" > 360.256870 OR t1.\"light\" IS NULL  ) AND ( t2.\"light\" > 609.161616 ) )\\nOR ( ( t1.\"light\" <= 360.256870 ) )\\n)\\nGROUP BY t1.rowid;'"
                        ]
                    },
                    "execution_count": 19,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "pipe.features.to_sql()[names[0]]"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Let's check out the second most important feature."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "```sql\n",
                            "DROP TABLE IF EXISTS \"FEATURE_1_52\";\n",
                            "\n",
                            "CREATE TABLE \"FEATURE_1_52\" AS\n",
                            "SELECT SUM( t2.\"light\" ) AS \"feature_1_52\",\n",
                            "       t1.rowid AS rownum\n",
                            "FROM \"POPULATION__STAGING_TABLE_1\" t1\n",
                            "INNER JOIN \"POPULATION__STAGING_TABLE_2\" t2\n",
                            "ON 1 = 1\n",
                            "WHERE ( t2.\"date\" <= t1.\"date\"\n",
                            "AND ( t2.\"date__15_000000_minutes\" > t1.\"date\" OR t2.\"date__15_000000_minutes\" IS NULL )\n",
                            ") AND (\n",
                            "   ( ( t1.\"light\" > 360.256870 ) AND ( t2.\"light\" <= 566.595420 ) )\n",
                            ")\n",
                            "GROUP BY t1.rowid;\n",
                            "```"
                        ],
                        "text/plain": [
                            "'DROP TABLE IF EXISTS \"FEATURE_1_52\";\\n\\nCREATE TABLE \"FEATURE_1_52\" AS\\nSELECT SUM( t2.\"light\" ) AS \"feature_1_52\",\\n       t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"POPULATION__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE ( t2.\"date\" <= t1.\"date\"\\nAND ( t2.\"date__15_000000_minutes\" > t1.\"date\" OR t2.\"date__15_000000_minutes\" IS NULL )\\n) AND (\\n   ( ( t1.\"light\" > 360.256870 ) AND ( t2.\"light\" <= 566.595420 ) )\\n)\\nGROUP BY t1.rowid;'"
                        ]
                    },
                    "execution_count": 20,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "pipe.features.to_sql()[names[1]]"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "These two features demonstrate the power of the getML feature learning algorithms. It is very unlikely to find these features using manual, trial-and-error based methods. The general structure of features found using such methods might be similar, but you would have had to put in much more effort while getting worse results.\n",
                "\n",
                "When browsing through the remaining features, you will notice that some are columns directly taken from the original table, such as *Light* and *CO2*. But these columns are less correlated and less important than the features generated with the relational model based on self-join and upper time stamps."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Because getML uses a feature learning approach, the concept of feature importances can also be carried over to the individual columns."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 21,
            "metadata": {},
            "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.columns.importances()\n",
                "\n",
                "plt.subplots(figsize=(20, 10))\n",
                "\n",
                "plt.bar(names, importances)\n",
                "\n",
                "plt.title(\"column importances\")\n",
                "plt.grid(True)\n",
                "plt.xlabel(\"columns\")\n",
                "plt.ylabel(\"importance\")\n",
                "plt.xticks(rotation=\"vertical\")\n",
                "\n",
                "plt.show()"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 22,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<style>\n",
                            "  th {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  td {\n",
                            "    text-align: left !important;\n",
                            "  }\n",
                            "  th:nth-child(1) {\n",
                            "    text-align: right;\n",
                            "    border-right: 1px solid LightGray;\n",
                            "  }\n",
                            "  th.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  td.float {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  th.int {\n",
                            "    text-align: right !important;\n",
                            "  }\n",
                            "  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=\"str\">marker      </th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"str\">table     </th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"float64\">importance</th>\n",
                            "        \n",
                            "      \n",
                            "        \n",
                            "          <th class=\"str\">target   </th>\n",
                            "        \n",
                            "      \n",
                            "    </tr>\n",
                            "    \n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>0</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">CO2</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[PERIPHERAL]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.082947</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>1</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Humidity</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[PERIPHERAL]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.002195</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>2</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">HumidityRatio</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[PERIPHERAL]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.012781</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>3</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Light</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[PERIPHERAL]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.151959</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>4</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Temperature</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[PERIPHERAL]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.036588</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th></th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">...</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">...</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">...</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">...</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">...</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>7</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Humidity</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[POPULATION]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.001188</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>8</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">HumidityRatio</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[POPULATION]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.003191</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>9</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Light</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[POPULATION]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.665215</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>10</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Temperature</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[POPULATION]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.005463</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "      <tr>\n",
                            "        <th>11</th>\n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">date</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">[POPULATION]</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">population</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"float64\">0.015112</td>\n",
                            "            \n",
                            "          \n",
                            "            \n",
                            "              <td class=\"str\">Occupancy</td>\n",
                            "            \n",
                            "          \n",
                            "      </tr>\n",
                            "    \n",
                            "  </tbody>\n",
                            "</table>"
                        ],
                        "text/plain": [
                            "     name            marker         table        importance   target   \n",
                            " 0   CO2             [PERIPHERAL]   population     0.082947   Occupancy\n",
                            " 1   Humidity        [PERIPHERAL]   population     0.002195   Occupancy\n",
                            " 2   HumidityRatio   [PERIPHERAL]   population     0.012781   Occupancy\n",
                            " 3   Light           [PERIPHERAL]   population     0.151959   Occupancy\n",
                            " 4   Temperature     [PERIPHERAL]   population     0.036588   Occupancy\n",
                            "     ...             ...            ...                 ...   ...      \n",
                            " 7   Humidity        [POPULATION]   population     0.001188   Occupancy\n",
                            " 8   HumidityRatio   [POPULATION]   population     0.003191   Occupancy\n",
                            " 9   Light           [POPULATION]   population     0.665215   Occupancy\n",
                            "10   Temperature     [POPULATION]   population     0.005463   Occupancy\n",
                            "11   date            [POPULATION]   population     0.015112   Occupancy"
                        ]
                    },
                    "execution_count": 22,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "pipe.columns"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "As we can see, about 80% of the predictive power comes from the *Light* column. The second most important column is the *Temperature* column, we contributes about 7% of the predictive power."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "#### 2.5 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` and `spark` modules.\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Creates a folder named occupancy_pipeline containing\n",
                "# the SQL code.\n",
                "pipe.features.to_sql().save(\"occupancy_pipeline\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "metadata": {},
            "outputs": [],
            "source": [
                "pipe.features.to_sql(dialect=getml.pipeline.dialect.spark_sql).save(\"occupancy_spark\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "getml.engine.shutdown()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### 3. Conclusion\n",
                "\n",
                "This tutorial demonstrates that relational learning is a powerful tool for time series. We able to outperform the benchmarks for a scientific paper on a simple public domain time series data set using relatively little effort.\n",
                "\n",
                "If you want to learn more about getML, check out the [official documentation](https://getml.com)."
            ]
        }
    ],
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