{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Hourly traffic volume prediction on Interstate 94\n", "\n", "### Multivariate time series prediction with getML\n", "\n", "In this tutorial, we demonstrate a time series application of getML. We predict the hourly traffic volume on I-94 westbound from Minneapolis-St Paul.\n", "We benchmark our results against [Facebook's Prophet](https://facebook.github.io/prophet/). getML's relational learning algorithms outperform Prophet's classical time series approach by ~15%.\n", "\n", "Summary:\n", "\n", "- Prediction type: __Regression model__\n", "- Domain: __Transportation__\n", "- Prediction target: __Hourly traffic volume__\n", "- Source data: __Multivariate time series, 5 components__\n", "- Population size: __24096__" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Background\n", "\n", "The dataset features some particularly interesting characteristics common for time series, which classical models may struggle to deal with appropriately. Such characteristics are:\n", "\n", "- High frequency (hourly)\n", "- Dependence on irregular events (holidays)\n", "- Strong and overlapping cycles (daily, weekly)\n", "- Anomalies\n", "- Multiple seasonalities\n", "\n", "\n", "The analysis is built on top of a dataset provided by the [MN Department of Transportation](https://www.dot.state.mn.us), with some data preparation done by [John Hogue](https://github.com/dreyco676/Anomaly_Detection_A_to_Z/)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's get started with the analysis and set-up your session:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "getML API version: 1.4.0\n", "\n", "getML engine is already running.\n", "\n", "Connected to project 'interstate94'\n" ] } ], "source": [ "import os\n", "os.environ[\"PYARROW_IGNORE_TIMEZONE\"] = \"1\"\n", "from pathlib import Path\n", "\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", "import pandas as pd\n", "from IPython.display import Image\n", "\n", "%matplotlib inline\n", "\n", "import getml\n", "\n", "print(f\"getML API version: {getml.__version__}\\n\")\n", "\n", "getml.engine.launch(home_directory=Path.home(), allow_remote_ips=True, token='token')\n", "getml.engine.set_project(\"interstate94\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Loading data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.1 Download from source\n", "\n", "Downloading the raw data and convert it into a prediction ready format takes time. To get to the getML model building as fast as possible, we prepared the data for you and excluded the code from this notebook. It is made available in the example notebook featuring the full analysis. We only include data after 2016 and introduced a fixed train/test split at 80% of the available data." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Loading traffic...\n" ] } ], "source": [ "traffic = getml.datasets.load_interstate94()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
name dstraffic_volumeholiday day month weekday hour year
role time_stamp targetcategorical categoricalcategoricalcategoricalcategoricalcategorical
unittime stamp, comparison only day month weekday hour year
02016-01-01\n", " 1513 \n", " New Years Day11402016
12016-01-01 01:00:00\n", " 1550 \n", " New Years Day11412016
22016-01-01 02:00:00\n", " 993 \n", " New Years Day11422016
32016-01-01 03:00:00\n", " 719 \n", " New Years Day11432016
42016-01-01 04:00:00\n", " 533 \n", " New Years Day11442016
...\n", " ... \n", " ..................
240912018-09-30 19:00:00\n", " 3543 \n", " No holiday3096192018
240922018-09-30 20:00:00\n", " 2781 \n", " No holiday3096202018
240932018-09-30 21:00:00\n", " 2159 \n", " No holiday3096212018
240942018-09-30 22:00:00\n", " 1450 \n", " No holiday3096222018
240952018-09-30 23:00:00\n", " 954 \n", " No holiday3096232018
\n", "\n", "

\n", " 24096 rows x 8 columns
\n", " memory usage: 0.96 MB
\n", " name: traffic
\n", " type: getml.DataFrame
\n", " \n", "

\n" ], "text/plain": [ " name ds traffic_volume holiday day month weekday hour \n", " role time_stamp target categorical categorical categorical categorical categorical\n", " unit time stamp, comparison only day month weekday hour \n", " 0 2016-01-01 1513 New Years Day 1 1 4 0 \n", " 1 2016-01-01 01:00:00 1550 New Years Day 1 1 4 1 \n", " 2 2016-01-01 02:00:00 993 New Years Day 1 1 4 2 \n", " 3 2016-01-01 03:00:00 719 New Years Day 1 1 4 3 \n", " 4 2016-01-01 04:00:00 533 New Years Day 1 1 4 4 \n", " ... ... ... ... ... ... ... \n", "24091 2018-09-30 19:00:00 3543 No holiday 30 9 6 19 \n", "24092 2018-09-30 20:00:00 2781 No holiday 30 9 6 20 \n", "24093 2018-09-30 21:00:00 2159 No holiday 30 9 6 21 \n", "24094 2018-09-30 22:00:00 1450 No holiday 30 9 6 22 \n", "24095 2018-09-30 23:00:00 954 No holiday 30 9 6 23 \n", "\n", " name year \n", " role categorical\n", " unit year \n", " 0 2016 \n", " 1 2016 \n", " 2 2016 \n", " 3 2016 \n", " 4 2016 \n", " ... \n", "24091 2018 \n", "24092 2018 \n", "24093 2018 \n", "24094 2018 \n", "24095 2018 \n", "\n", "\n", "24096 rows x 8 columns\n", "memory usage: 0.96 MB\n", "type: getml.DataFrame" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "traffic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.2 Prepare data for getML\n", "\n", "The `getml.datasets.load_interstate94` method took care of the entire data preparation:\n", "* Downloads csv's from our servers into python\n", "* Converts csv's to getML [DataFrames](https://docs.getml.com/latest/api/getml.data.DataFrame.html#dataframe)\n", "* Sets [roles](https://docs.getml.com/latest/user_guide/annotating_data/annotating_data.html#roles) & [units](https://docs.getml.com/latest/user_guide/annotating_data/annotating_data.html#annotating-units) to columns inside getML DataFrames" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__Data visualization__\n", "\n", "The first week of the original traffic time series is plotted below." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(20, 10))\n", "\n", "# 2016/01/01 was a friday, we'd like to start the visualizations on a monday\n", "start = getml.data.time.datetime(2016, 1, 4)\n", "end = getml.data.time.datetime(2016, 1, 11)\n", "\n", "fig.suptitle(\n", " \"Traffic volume for first full week of the training set\",\n", " fontsize=14,\n", " fontweight=\"bold\",\n", ")\n", "traffic_first_week = traffic[(traffic.ds>=start) & (traffic.ds\n", " th {\n", " text-align: left !important;\n", " }\n", " th.sub-header {\n", " font-weight: normal;\n", " font-style: italic;\n", " text-align: left !important;\n", " }\n", " td {\n", " text-align: left !important;\n", " }\n", " th:nth-child(1) {\n", " text-align: right !important;\n", " border-right: 1px solid LightGray;\n", " }\n", " th.numerical {\n", " text-align: right !important;\n", " }\n", " td.numerical {\n", " text-align: right !important;\n", " }\n", "\n", " td.char-align {\n", " text-align: right !important;\n", " }\n", " span.left {\n", " text-align: right;\n", " width: 3em;\n", " }\n", " span.right {\n", " float: right;\n", " text-align: left;\n", " }\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
name dstraffic_volumeholiday day month weekday hour year
role time_stamp targetcategoricalcategoricalcategoricalcategoricalcategoricalcategorical
unittime stamp, comparison only day month weekday hour year
02018-03-15\n", " 577 \n", " No holiday153302018
12018-03-15 01:00:00\n", " 354 \n", " No holiday153312018
22018-03-15 02:00:00\n", " 259 \n", " No holiday153322018
32018-03-15 03:00:00\n", " 360 \n", " No holiday153332018
42018-03-15 04:00:00\n", " 910 \n", " No holiday153342018
......\n", " ... \n", " ..................
\n", "\n", "

\n", " unknown number of rows
\n", " \n", " type: getml.data.View
\n", " \n", "

\n" ], "text/plain": [ "name ds traffic_volume holiday day month weekday hour \n", "role time_stamp target categorical categorical categorical categorical categorical\n", "unit time stamp, comparison only day month weekday hour \n", " 0 2018-03-15 577 No holiday 15 3 3 0 \n", " 1 2018-03-15 01:00:00 354 No holiday 15 3 3 1 \n", " 2 2018-03-15 02:00:00 259 No holiday 15 3 3 2 \n", " 3 2018-03-15 03:00:00 360 No holiday 15 3 3 3 \n", " 4 2018-03-15 04:00:00 910 No holiday 15 3 3 4 \n", " ... ... ... ... ... ... ... ... \n", "\n", "name year \n", "role categorical\n", "unit year \n", " 0 2018 \n", " 1 2018 \n", " 2 2018 \n", " 3 2018 \n", " 4 2018 \n", " ... ... \n", "\n", "\n", "unknown number of rows x 8 columns\n", "type: getml.data.View" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "traffic[split == \"test\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.3 Define relational model\n", "\n", "To start with relational learning, we need to specify the data model. We manually replicate the appropriate time series structure by setting time series related join conditions (`horizon`, `memory` and `allow_lagged_targets`). We use the [high-level time series api](https://docs.getml.com/latest/api/getml.data.TimeSeries.html) for this.\n", "\n", "Under the hood, the time series api abstracts away a self cross join of the population table (`traffic`) that allows getML's feature learning algorithms to learn patterns from past observations." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "data model\n", "
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trafficpopulationds <= dsMemory: 7.0 daysHorizon: 1.0 hoursLagged targets allowed
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staging
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data framesstaging table
0populationPOPULATION__STAGING_TABLE_1
1trafficTRAFFIC__STAGING_TABLE_2
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population
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subsetname rowstype
0testtraffic4800View
1traintraffic19296View
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peripheral
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name rowstype
0traffic24096DataFrame
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" ], "text/plain": [ "data model\n", "\n", " population:\n", " columns:\n", " - holiday: categorical\n", " - day: categorical\n", " - month: categorical\n", " - weekday: categorical\n", " - hour: categorical\n", " - ...\n", "\n", " joins:\n", " - right: 'traffic'\n", " time_stamps: (population.ds, traffic.ds)\n", " relationship: 'many-to-many'\n", " memory: 604800.0\n", " horizon: 3600.0\n", " lagged_targets: True\n", "\n", " traffic:\n", " columns:\n", " - holiday: categorical\n", " - day: categorical\n", " - month: categorical\n", " - weekday: categorical\n", " - hour: categorical\n", " - ...\n", "\n", "\n", "container\n", "\n", " population\n", " subset name rows type\n", " 0 test traffic 4800 View\n", " 1 train traffic 19296 View\n", "\n", " peripheral\n", " name rows type \n", " 0 traffic 24096 DataFrame" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "time_series = getml.data.TimeSeries(\n", " population=traffic,\n", " split=split,\n", " time_stamps=\"ds\",\n", " horizon=getml.data.time.hours(1),\n", " memory=getml.data.time.days(7),\n", " lagged_targets=True,\n", ")\n", "\n", "time_series" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2.Predictive modeling\n", "\n", "We loaded the data, defined the roles, units and the abstract data model. Next, we create a getML pipeline for relational learning." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.1 getML Pipeline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "__Set-up of feature learners, selectors & predictor__" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "relmt = getml.feature_learning.RelMT(\n", " num_features=20,\n", " loss_function=getml.feature_learning.loss_functions.SquareLoss,\n", " seed=4367,\n", " num_threads=1,\n", ")\n", "\n", "predictor = getml.predictors.XGBoostRegressor()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__Build the pipeline__" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "pipe = getml.pipeline.Pipeline(\n", " tags=[\"memory: 7d\", \"horizon: 1h\", \"relmt\"],\n", " data_model=time_series.data_model,\n", " feature_learners=[relmt],\n", " predictors=[predictor],\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.2 Model training" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Checking data model...\n", "Staging... 100% |██████████| [elapsed: 00:00, remaining: 00:00] \n", "Checking... 100% |██████████| [elapsed: 00:01, remaining: 00:00] \n", "\n", "OK.\n", "Staging... 100% |██████████| [elapsed: 00:00, remaining: 00:00] \n", "RelMT: Training features... 100% |██████████| [elapsed: 01:33, remaining: 00:00] \n", "RelMT: Building features... 100% |██████████| [elapsed: 00:21, remaining: 00:00] \n", "XGBoost: Training as predictor... 100% |██████████| [elapsed: 00:02, remaining: 00:00] \n", "\n", "Trained pipeline.\n", "Time taken: 0h:1m:55.66844\n", "\n" ] }, { "data": { "text/html": [ "
Pipeline(data_model='population',\n",
       "         feature_learners=['RelMT'],\n",
       "         feature_selectors=[],\n",
       "         include_categorical=False,\n",
       "         loss_function='SquareLoss',\n",
       "         peripheral=['traffic'],\n",
       "         predictors=['XGBoostRegressor'],\n",
       "         preprocessors=[],\n",
       "         share_selected_features=0.5,\n",
       "         tags=['memory: 7d', 'horizon: 1h', 'relmt', 'container-5wrGv6'])
" ], "text/plain": [ "Pipeline(data_model='population',\n", " feature_learners=['RelMT'],\n", " feature_selectors=[],\n", " include_categorical=False,\n", " loss_function='SquareLoss',\n", " peripheral=['traffic'],\n", " predictors=['XGBoostRegressor'],\n", " preprocessors=[],\n", " share_selected_features=0.5,\n", " tags=['memory: 7d', 'horizon: 1h', 'relmt', 'container-5wrGv6'])" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pipe.fit(time_series.train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.3 Model evaluation" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "lines_to_next_cell": 0 }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Staging... 100% |██████████| [elapsed: 00:00, remaining: 00:00] \n", "Preprocessing... 100% |██████████| [elapsed: 00:00, remaining: 00:00] \n", "RelMT: Building features... 100% |██████████| [elapsed: 00:06, remaining: 00:00] \n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
date time set usedtarget mae rmsersquared
02024-02-21 16:41:44traintraffic_volume201.298295.61770.9774
12024-02-21 16:41:50testtraffic_volume183.2422271.26630.9814
" ], "text/plain": [ " date time set used target mae rmse rsquared\n", "0 2024-02-21 16:41:44 train traffic_volume 201.298 295.6177 0.9774\n", "1 2024-02-21 16:41:50 test traffic_volume 183.2422 271.2663 0.9814" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "getml_score = pipe.score(time_series.test)\n", "getml_score" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.4 Studying features" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__Feature correlations__\n", "\n", "Correlations of the calculated features with the target" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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p06YuGo36HtOLH66bJUuWuBtuuMHVr1/fZWRkuD59+riFCxd6nNCvaDTqTj/9dHfhhRce8atz586hXTuZmZnus88+q3icmprq1qxZU/F48+bNLisry8do3n3wwQfuJz/5iRs9erQrKyureJ7vj52rV6+e27RpU8xzL730ksvKynLz5s1zX375ZWjPqebNm7v/+Z//cc45l5eX55YuXRpz/G9/+1toz6kffm+cmpoa873xli1bXGZmpo/REkJ6errbsGGDeXzDhg0uPT09jhMljgYNGriNGzfGPDdx4kTXoEED9/HHH4d6z/n+z7YaN27sVqxYEXP8k08+cRkZGT5G8y49Pd2tX7/ePL5+/frQnlPJhs+kQVLKy8vTxo0bKx4XFxervLxcDRs2lCSdcsopKikp8TWed99++6327t2r9PR0paWlxRxLT0/X/v37PU3mV+/evfX+++/rueee01VXXaVvvvnG90gJIxKJVPzWRTQaVf369WOOZ2dnh7pXampqzHsCp6WlqU6dOjGPw/oZCZmZmdq3b1/F40aNGsW0kcL7gY4tWrSIeQXRihUrFI1GK16CftJJJ6m0tNTXeF798Le8cnNz9V//9V/65JNPtHDhQv3kJz/RiBEjPE3nV/PmzfXYY49py5YtR/x6/fXXfY+YMM466yw988wz2r59u6ZOnapt27ZVvDIijFq1aqWRI0fqnXfeOeLXtGnTfI/oTevWrTV//nxJh99qJz09XW+99VbF8TfffLPSK63D4pxzztHy5cv1ySefqLCwUMXFxb5HShhpaWnavXt3zHN9+/bV9OnT1atXL7366qt+BksA/fr10913363du3erf//+uv/++yv+/b1//36NGTNG55xzjucp/cjPz6/4jfWlS5cqEono448/rji+ZMkS5eXl+RrPuxYtWgR+L/P666+refPmcZwosfzzn/+MeXznnXfqrrvu0sUXX6zFixd7msq/K6+8UuPHj1dZWZmuuOIKTZ06NeYzaH7zm9/otNNO8zegR02aNInZY37o448/rvj3JxIbb/yNpDRgwABdf/31uvvuu5WWlqbJkyfr8ssvV+3atSUdfg/lsP5DS5JOPfVUSYdf2rhs2TJ16tSp4ti6devUtGlTX6N516JFCy1atEhjx45Vx44dNW3atEo/LAwj55xOPfVURSIRlZSUaPXq1TGfP7Np06ZQfsbTd1q1aqUNGzaoTZs2kg6/3dB3n2EkHb5RfMopp/gaz6u2bdtq9erVFW9P9cMPgt+wYYNatGjhYTL/hg8fruuvv15Lly5Venq6pk+frv79+yslJUXS4X+kf7dfh40LeLfdCy+8UBdeeGFoP1T3jDPO0PLly/WrX/3qiMcjkUioPxj1SDIzMzVo0CANGjRIn3zyie9xvOncubOWL1+ua6+99ojHw7x2brvtNg0cOFCPP/64tm3bpt/97ne6+eabtWTJEkWjUc2dO1eTJ0/2PaY39evX16xZszRjxgyde+65Gjt2LN8fSzrttNP0zjvvVPrsq969e8s5p4EDB3qazL/77rtPa9euVUFBgTp37qz3339fjRs3Vl5enrZv366GDRvq7bff9j2mF8OGDdOgQYM0ffp0LV++XI8++qjuuusubdiwQdFoVE899ZT+8z//0/eY3tx///3q27ev3n333SN+fsaf//xnzZw50/OUfvzsZz/T4sWLK30O7KhRo1ReXq4+ffp4msy/CRMmqFu3bmrbtq26du2q2bNn6+2339app56qTZs2adeuXXrzzTd9j+nFqFGjdMMNN2j58uX693//90rn1LRp0/Too496nhLHgps0SEp33XWX9u3bpwceeEAHDhzQJZdcoieeeKLieF5enp566imPE/rzzjvvxDzOzc2Nebxly5ZQfoD390WjUY0dO1bdu3fXgAEDQvmerj/0w8/hadWqVczjjz76SFdeeWU8R0ood911V8xnHdSrVy/m+LJly8wfqNZ0Dz30kLKysszjW7du1Y033hjHiRLH8OHDFY1G9bvf/U4HDhzQoEGDdO+991YcP+uss0L7j9CBAwcqIyMj8M/88DwLi/vvvz/wFa/t27fXli1b4jhR4rjgggsqfiHHEtYbn9Lhz0c7cOCAebxjx44qLy+P40SJo1+/fmrRooU++ugjde3aVYWFhWrfvr0efPBB7d+/X88++2yof+D+ncGDB+vcc89Vv379Qvsq2O+76aabtGjRoiMe69Onj5xzoX2FWu3atfXaa6/pz3/+s+bNm6eUlBSVl5crNzdX55xzjvr27Rv4/WFNdssttygnJ0d//etfdd1116lPnz4Vn6Gxf/9+jRw5UnfffbfvMb255pprlJeXpylTpmjSpEn68ssvJR1+NUDXrl317rvvqmvXrp6n9GPAgAF67733Kj57+ftuv/12Oef09NNPe5jMv/r162vx4sV67rnnNG/ePLVo0ULl5eU6ePCg+vTpo5tuuim0vzQ5fPhwnXzyyXrsscc0derUip9vpaSk6IwzztALL7wQ2p9VJJuIC+uvUwGQJM2aNUuXX355aL+JLikpUXFxsdq1a3fUH/wAOHFh33OC0MZGG6D6cV7Zwt6mvLxc3377rerVq1fpFTVhbxOENjbaAMCPr7S0VF9//bUk6eSTT1ZqaqrniVAV3KQBQq5evXpatWqVCgoKfI8CIATYc2y0sdEGqH6cVzba2Ghjo42NNgAABIv6HgD4Maxfv55vAI8R92n/hXVjo00w+hw79hwbbWy0+Rf2GxttqobzykYbG21stLHR5l+4VgWjj402trC3KSoq0rhx4zR16tSKV9J8Z+/evbruuus8TYaq4CYNaqSDBw/q888/9z0GkgzrxkabYPQBEC/sNzbaAAASHdeqYPSx0cYW5jZvvfWWzjrrLL388st66KGH1LZt25jPqv6///s//fa3v/U4IY5VLd8DAMfj1ltvDTz+j3/8I06TIJmwbmy0CUYfAPHCfmOjDQAg0XGtCkYfG21stLGNGTNGo0aN0vjx4+Wc0yOPPKLLL79cs2fPVo8ePXyPhyrgJg2S0hNPPKHTTjtN9erVO+LxkpKSOE+EZMC6sdEmGH0AxAv7jY02AIBEx7UqGH1stLHRxrZu3Tq9+OKLkqRIJKLbb79dp5xyiq6++mq9/PLLOvPMMz1PiGPFTRokpVatWmnkyJG69tprj3h81apVOuOMM+I8FRId68ZGm2D0ARAv7Dc22gAAEh3XqmD0sdHGRhtbWlqadu/eHfNc3759FY1G1atXL02aNMnPYKgyPpMGSalz585avny5eTwSifDhhMeoefPmSk1N9T1GXLBubLQJRp/qE6Y9p6poYwtTG/YbG22qV5jOq6qijY02NtrYwtSGa1Uw+thoY6ON7bTTTov5DJrv9O7dW9OnT9eIESM8TIXjEXFhXcVIal9++aUOHDig5s2b+x4FSYR1Y6NNMPoAiBf2GxttAACJjmtVMPrYaGOjje3VV1/VokWL9Nhjjx3x+MyZMzVt2rQj3shBYuGVNEhKTZo0qdLmPGvWLO3bt+9HnCh5FBUVKSUlxfcYXrBubLQJRp/jF+Y952hoYwtzG/YbG21OTJjPq6OhjY02NtrYwtyGa1Uw+thoY6ON7corrzRv0EiH3/rs+zdowtQm2XCTBqFw44036quvvvI9RsLgBXTHhnVjo00w+sRiz7HRxkabY8N+Y6NNZZxXNtrYaGOjjY02x4ZrVTD62Ghjo42NNomrlu8BgHgI0zeIPXv2DDy+Z88eRSKROE2T3MK0bqqKNsHC1Ic9x0YbG22qT5j2m6oKWxvOKxttbLSx0cZGm+oTtmtVVdHHRhsbbWy0SVzcpAFqmHnz5ql79+5q3LjxEY+XlZXFeSIANRl7jo02NtoA1Y/zykYbG21stLHRBgCA6sVNGqCGadeuna666ioNGTLkiMdXrVql+fPnx3kqADUVe46NNjbaANWP88pGGxttbLSx0QYAgOrFZ9IANcwZZ5yhFStWmMfT0tKUn58fx4kA1GTsOTba2GgDVD/OKxttbLSx0cZGGwAAqlfE8WZ0CIG6deuqqKhIBQUFvkf50R04cEBlZWXKzMz0PUrSC9O6qSraBAtTH/YcG21stKk+YdpvqipsbTivbLSx0cZGGxttqk/YrlVVRR8bbWy0sdEmcfFKGoRC8+bNlZqa6nuMuEhLS6vSN8sPPvigdu/e/eMNlMTCtG6qijbBwtSHPcdGGxttqk+Y9puqClsbzisbbWy0sdHGRpvqE7ZrVVXRx0YbG21stElcvJIGCLl69epp1apV3EUHEBfsOTba2GgDVD/OKxttbLSx0cZGGwAAgvFKGtRIRUVFSklJ8T1GUuA+7b+wbmy0CUafY8eeY6ONjTb/wn5jo03VcF7ZaGOjjY02Ntr8C9eqYPSx0cZGGxttkgc3aVBj8Y0gjgfrxkabYPQBEC/sNzbaAAASHdeqYPSx0cZGGxttkkMt3wMAx6Nnz56Bx/fs2aNIJBKnaZAsWDc22gSjD4B4Yb+x0QYAkOi4VgWjj402NtrYaFNzcJMGSWnevHnq3r27GjdufMTjZWVlcZ4IyYB1Y6NNMPoAiBf2GxttAACJjmtVMPrYaGOjjY02NQc3aZCU2rVrp6uuukpDhgw54vFVq1Zp/vz5cZ4KiY51Y6NNMPoAiBf2GxttAACJjmtVMPrYaGOjjY02NQefSYOkdMYZZ2jFihXm8bS0NOXn58dxouR13nnnKSMjw/cYccG6sdEmGH2qT5j2nKqijS1MbdhvbLSpXmE6r6qKNjba2GhjC1MbrlXB6GOjjY02NtrUHBHHpwchCR04cEBlZWXKzMz0PUpCKy4u1owZM1RcXKwnnnhCOTk5euONN5Sfn6+f/vSnvseLO9aNjTbB6HNs2HNstLHRJhb7jY02x47zykYbG21stLHRJhbXqmD0sdHGRhsbbWoOXkmDpJSWllalDejBBx/U7t27f7yBEtB7772nDh06aMmSJZo7d65KSkokSUVFRbrvvvs8T+cH68ZGm2D0OTr2HBttbLSpjP3GRptjw3llo42NNjba2GhTGdeqYPSx0cZGGxttahAHhEDdunVdcXGx7zHiqkuXLm7SpEnOOefq1KlT8f//kiVLXF5ens/RkkYY182xok2wMPZhz7HRxkabExfG/eZYhbUN55WNNjba2Ghjo82JC+u16ljRx0YbG21stElcvJIGoeBC+K5+a9as0ZVXXlnp+ZycHH399dceJko+YVw3x4o2wcLYhz3HRhsbbU5cGPebYxXWNpxXNtrYaGOjjY02Jy6s16pjRR8bbWy0sdEmcXGTBqihsrOztWPHjkrPr1y5Unl5eR4mAlCTsefYaGOjDVD9OK9stLHRxkYbG20AAKge3KQBaqjevXvrjjvu0JdffqlIJKLy8nJ9+OGHGjVqlAYMGOB7PAA1DHuOjTY22gDVj/PKRhsbbWy0sdEGAIDqwU0aoIaaMGGC2rZtq2bNmqmkpETt27fX+eefr8LCQt1zzz2+xwNQw7Dn2Ghjow1Q/TivbLSx0cZGGxttAACoHhHHm9EhBOrWrauioiIVFBT4HiUunHPatm2bGjVqpK+//lpr1qxRSUmJOnXqpNatW/seL2mEbd1UBW2Cha0Pe46NNjbaVI+w7TdVEcY2nFc22thoY6ONjTbVI4zXqqqgj402NtrYaJO4avkeAIiH8847TxkZGb7HiBvnnFq1aqV169apdevWatasme+RklLY1k1V0CZY2Pqw59hoY6NN9QjbflMVYWzDeWWjjY02NtrYaFM9wnitqgr62Ghjo42NNomLtztD0isuLtY999yjPn366H//938lSW+88YbWrVtX8WcWLFig3NxcXyPGXTQaVevWrbVz507foyQs1o2NNsHoUxl7jo02NtocHfuNjTZHxnllo42NNjba2GhzdFyrgtHHRhsbbWy0SW7cpEFSe++999ShQwctWbJEc+fOVUlJiSSpqKhI9913n+fp/HrwwQd12223ae3atb5HSTisGxttgtHHxp5jo42NNjb2GxttgnFe2Whjo42NNjba2LhWBaOPjTY22thok/z4TBokta5du+qaa67RrbfeGvO+ih9//LF69uypL774wveI3jRo0ED79+/XoUOHVLt27UovZ9y1a5enyfxj3dhoE4w+NvYcG21stLGx39hoE4zzykYbG21stLHRxsa1Khh9bLSx0cZGm+THZ9Igqa1Zs0YzZ86s9HxOTo6+/vprDxMljscff9z3CAmLdWOjTTD62NhzbLSx0cbGfmOjTTDOKxttbLSx0cZGGxvXqmD0sdHGRhsbbZIfN2mQ1LKzs7Vjxw61bNky5vmVK1cqLy/P01SJYeDAgb5HSFisGxttgtHHxp5jo42NNjb2GxttgnFe2Whjo42NNjba2LhWBaOPjTY22thok/y4SYOk1rt3b91xxx2aPXu2IpGIysvL9eGHH2rUqFEaMGCA7/G82rp1a+Dx/Pz8OE2SeFg3NtoEo4+NPcdGGxttbOw3NtoE47yy0cZGGxttbLSxca0KRh8bbWy0sdGmBnBAEjtw4IC7/vrrXa1atVwkEnGpqakuGo26a6+91h06dMj3eF5FIhEXjUbNrzBj3dhoE4w+NvYcG21stLGx39hoE4zzykYbG21stLHRxsa1Khh9bLSx0cZGm+QXcc453zeKgOPhnNO2bdvUqFEjff3111qzZo1KSkrUqVMntW7d2vd43hUVFcU8Li0t1cqVKzV58mSNHz9ePXv29DSZX6wbG22C0ScYe46NNjbaHBn7jY02R8d5ZaONjTY22thoc2Rcq4LRx0YbG21stKkZuEmDpFVeXq709HStW7eOTacKXn/9dT3yyCN69913fY/iBevGRptg9Dk+Yd9zgtDGFvY27Dc22hy/sJ9XQWhjo42NNrawt+FaFYw+NtrYaGOjTc0Q9T0AcLyi0ahat26tnTt3+h4lqbRp00ZLly71PYY3rBsbbYLR5/iEfc8JQhtb2Nuw39hoc/zCfl4FoY2NNjba2MLehmtVMPrYaGOjjY02NQM3aZDUHnzwQd12221au3at71ESzt69e2O+9uzZow0bNuiee+4J/Z111o2NNsHoY2PPsdHGRhsb+42NNsE4r2y0sdHGRhsbbWxcq4LRx0YbG21stEl+vN0ZklqDBg20f/9+HTp0SLVr11ZGRkbM8V27dnmazL9oNKpIJBLznHNOzZo108svv6yuXbt6msw/1o2NNsHoY2PPsdHGRhsb+42NNsE4r2y0sdHGRhsbbWxcq4LRx0YbG21stEl+tXwPAJyIxx9/3PcICeudd96JeRyNRtWoUSO1atVKtWqF+9Rn3dhoE4w+NvYcG21stLGx39hoE4zzykYbG21stLHRxsa1Khh9bLSx0cZGm+THK2mAGmrRokUqLCys9M3xoUOHtHjxYp1//vmeJgNQE7Hn2Ghjow1Q/TivbLSx0cZGGxttAACoHtykQVLbunVr4PH8/Pw4TZJ4UlJStGPHDuXk5MQ8v3PnTuXk5KisrMzTZP6xbmy0CUYfG3uOjTY22tjYb2y0CcZ5ZaONjTY22thoY+NaFYw+NtrYaGOjTfIL9+tPkfRatGhR6T1wvy/M3xQ6547YZufOncrKyvIwUeJg3dhoE4w+NvYcG21stLGx39hoE4zzykYbG21stLHRxsa1Khh9bLSx0cZGm+THTRoktZUrV8Y8Li0t1cqVKzV58mSNHz/e01R+9ezZU5IUiUQ0aNAgpaWlVRwrKyvT6tWrVVhY6Gu8hMC6sdEmGH0qY8+x0cZGm6Njv7HR5sg4r2y0sdHGRhsbbY6Oa1Uw+thoY6ONjTbJj5s0SGodO3as9Fznzp3VtGlTPfLIIxXfPIZJ/fr1JR3+raa6desqIyOj4ljt2rXVpUsXDR061Nd4CYF1Y6NNMPpUxp5jo42NNkfHfmOjzZFxXtloY6ONjTY22hwd16pg9LHRxkYbG22SHzdpUCO1adNGS5cu9T2GFzNmzJB0+KWOo0aNCv3LzKsizOvmaGgTLMx92HNstLHR5viFeb85mrC34byy0cZGGxttbLQ5fmG/Vh0NfWy0sdHGRpvkEXHOOd9DAMdr7969MY+dc9qxY4fGjBmjDRs2aNWqVX4GQ0Jj3dhoE4w+AOKF/cZGGwBAouNaFYw+NtrYaGOjTfLjlTRIatnZ2ZU+GMs5p2bNmunll1/2NFXimDNnjl555RVt3bpVBw8ejDm2YsUKT1P5x7qx0SYYfYKx59hoY6PNkbHf2GhzdJxXNtrYaGOjjY02R8a1Khh9bLSx0cZGm+THTRoktXfeeSfmcTQaVaNGjdSqVSvVqhXu5T1lyhTdfffdGjRokF577TUNHjxYxcXFWrp0qYYPH+57PK9YNzbaBKOPjT3HRhsbbWzsNzbaBOO8stHGRhsbbWy0sXGtCkYfG21stLHRpgZwQBJ77733XGlpaaXnS0tL3XvvvedhosTRpk0bN3PmTOecc3Xq1HHFxcXOOefuvfdeN3z4cJ+jece6sdEmGH1s7Dk22thoY2O/sdEmGOeVjTY22thoY6ONjWtVMPrYaGOjjY02yY/PpEFSS0lJ0Y4dO5STkxPz/M6dO5WTk6OysjJPk/mXmZmp9evXq3nz5srJydHbb7+tjh076tNPP1WXLl20c+dO3yN6w7qx0SYYfWzsOTba2GhjY7+x0SYY55WNNjba2Ghjo42Na1Uw+thoY6ONjTbJL+p7AOBEOOcqveeidHgTysrK8jBR4mjSpIl27dolScrPz9dHH30kSdqyZYvCfm+WdWOjTTD62NhzbLSx0cbGfmOjTTDOKxttbLSx0cZGGxvXqmD0sdHGRhsbbZIfb0qHpNSzZ09JUiQS0aBBg5SWllZxrKysTKtXr1ZhYaGv8RLCz3/+c/3pT39Sp06dNHjwYI0cOVJz5szRsmXLKvqFDevGRptg9Dk69hwbbWy0qYz9xkabY8N5ZaONjTY22thoUxnXqmD0sdHGRhsbbWoObtIgKdWvX1/S4TvFdevWVUZGRsWx2rVrq0uXLho6dKiv8RLCs88+q/LycknS8OHD1bBhQy1evFiXX365brzxRs/T+cG6sdEmGH2Ojj3HRhsbbSpjv7HR5thwXtloY6ONjTY22lTGtSoYfWy0sdHGRpuag8+kQVIbO3asRo0axUv3UCWsGxttgtEHQLyw39hoAwBIdFyrgtHHRhsbbWy0SX7cpAFqsPfff1/PPPOMiouLNWfOHOXl5enFF19Uy5Ytde655/oeD0ANw55jo42NNkD147yy0cZGGxttbLQBAODE8XZnSHpz5szRK6+8oq1bt+rgwYMxx1asWOFpKv/+8Ic/qH///urXr59WrlypAwcOSJL27NmjCRMmaMGCBZ4n9It1Y6NNMPocGXuOjTY22gRjv7HRxsZ5ZaONjTY22thoE4xrVTD62Ghjo42NNskt6nsA4ERMmTJFgwcPVuPGjbVy5UqdddZZatiwoTZv3qxLL73U93hejRs3Tk8//bSmTZum1NTUiufPOeec0G/OrBsbbYLRx8aeY6ONjTY29hsbbYJxXtloY6ONjTY22ti4VgWjj402NtrYaFMDOCCJtWnTxs2cOdM551ydOnVccXGxc865e++91w0fPtznaN5lZGS4LVu2OOdi2xQXF7u0tDSPk/nHurHRJhh9bOw5NtrYaGNjv7HRJhjnlY02NtrYaGOjjY1rVTD62Ghjo42NNsmPV9IgqW3dulWFhYWSpIyMDH377beSpP79+2vWrFk+R/OuSZMm2rRpU6XnP/jgAxUUFHiYKHGwbmy0CUYfG3uOjTY22tjYb2y0CcZ5ZaONjTY22thoY+NaFYw+NtrYaGOjTfLjJg2SWpMmTbRr1y5JUn5+vj766CNJ0pYtW+Sc8zmad0OHDtXNN9+sJUuWKBKJaPv27XrppZc0atQo3XTTTb7H84p1Y6NNMPrY2HNstLHRxsZ+Y6NNMM4rG21stLH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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "names, correlations = pipe.features.correlations()\n", "\n", "plt.subplots(figsize=(20, 10))\n", "\n", "plt.bar(names, correlations)\n", "plt.title(\"Feature Correlations\")\n", "plt.xlabel(\"Features\")\n", "plt.ylabel(\"Correlations\")\n", "plt.xticks(rotation=\"vertical\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__Feature importances__" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "lines_to_next_cell": 0 }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "names, importances = pipe.features.importances()\n", "\n", "plt.subplots(figsize=(20, 10))\n", "\n", "plt.bar(names, importances)\n", "plt.title(\"Feature Importances\")\n", "plt.xlabel(\"Features\")\n", "plt.ylabel(\"Importances\")\n", "plt.xticks(rotation=\"vertical\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__Visualizing the learned features__\n", "\n", "We can also transpile the features as SQL code. Here, we show the most important feature." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "lines_to_next_cell": 0 }, "outputs": [ { "data": { "text/markdown": [ "```sql\n", "DROP TABLE IF EXISTS \"FEATURE_1_11\";\n", "\n", "CREATE TABLE \"FEATURE_1_11\" AS\n", "SELECT SUM( \n", " CASE\n", " WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.056994616117964e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0004592958687265713 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.47446253771948e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.474462407374121e-05 + 5.7136772527002925e+01\n", " WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -0.0002728527078393066 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.01052789409335724 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001346563960090505 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001346563960090505 + -1.6323514509683892e+02\n", " WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -6.450603601298901e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.4011052890935949 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -6.365908267767004e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -6.368337472002008e-06 + 3.5377949203029338e+01\n", " WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.830812354148993e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.8224585907500582 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.352120390568317e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.36062674844675e-05 + 1.0670459471423501e+03\n", " ELSE NULL\n", " END\n", ") AS \"feature_1_11\",\n", " t1.rowid AS rownum\n", "FROM \"POPULATION__STAGING_TABLE_1\" t1\n", "INNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\n", "ON 1 = 1\n", "WHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\n", "AND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\n", "GROUP BY t1.rowid;\n", "```" ], "text/plain": [ "'DROP TABLE IF EXISTS \"FEATURE_1_11\";\\n\\nCREATE TABLE \"FEATURE_1_11\" AS\\nSELECT SUM( \\n CASE\\n WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.056994616117964e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0004592958687265713 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.47446253771948e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.474462407374121e-05 + 5.7136772527002925e+01\\n WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -0.0002728527078393066 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.01052789409335724 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001346563960090505 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001346563960090505 + -1.6323514509683892e+02\\n WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -6.450603601298901e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.4011052890935949 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -6.365908267767004e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -6.368337472002008e-06 + 3.5377949203029338e+01\\n WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.830812354148993e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.8224585907500582 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.352120390568317e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.36062674844675e-05 + 1.0670459471423501e+03\\n ELSE NULL\\n END\\n) AS \"feature_1_11\",\\n t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\\nAND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\\nGROUP BY t1.rowid;'" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "by_importance = pipe.features.sort(by=\"importance\")\n", "by_importance[0].sql" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To showcase getML's ability to handle categorical data, we now look for features that contain information from the holiday column:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
target name correlationimportance
0traffic_volumefeature_1_120.95970.0142
1traffic_volumefeature_1_50.96690.0117
2traffic_volumefeature_1_180.96270.0087
3traffic_volumefeature_1_40.96340.0066
4traffic_volumefeature_1_140.96640.0038
............
6traffic_volumefeature_1_10.96530.0029
7traffic_volumefeature_1_30.96610.0028
8traffic_volumefeature_1_100.96020.0025
9traffic_volumefeature_1_80.96480.0002
10traffic_volumefeature_1_60.96290.0
" ], "text/plain": [ " target name correlation importance\n", " 0 traffic_volume feature_1_12 0.9597 0.0142\n", " 1 traffic_volume feature_1_5 0.9669 0.0117\n", " 2 traffic_volume feature_1_18 0.9627 0.0087\n", " 3 traffic_volume feature_1_4 0.9634 0.0066\n", " 4 traffic_volume feature_1_14 0.9664 0.0038\n", " ... ... ... ...\n", " 6 traffic_volume feature_1_1 0.9653 0.0029\n", " 7 traffic_volume feature_1_3 0.9661 0.0028\n", " 8 traffic_volume feature_1_10 0.9602 0.0025\n", " 9 traffic_volume feature_1_8 0.9648 0.0002\n", "10 traffic_volume feature_1_6 0.9629 0.0 " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w_holiday = by_importance.filter(lambda feature: \"holiday\" in feature.sql)\n", "w_holiday" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, getML features which incorporate information about holidays have a rather low importance. This is not that surprising given the fact that most information about holidays is fully reproducible from the extracted calendarial information that is already present. In other words: for the algorithm, it doesn't matter if the traffic is lower on every 4th of July of a given year or if there is a corresponding holiday named 'Independence Day'. Here is the SQL transpilation of the most important feature relying on information about holdidays anyway:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "```sql\n", "DROP TABLE IF EXISTS \"FEATURE_1_12\";\n", "\n", "CREATE TABLE \"FEATURE_1_12\" AS\n", "SELECT AVG( \n", " CASE\n", " WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.286214 ) AND ( t2.\"holiday\" IN ( 'No holiday' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 0.0003655426559629976 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 71.04907704233962 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0003659565812331032 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0003659565812330983 + -1.2102245006452505e+02\n", " WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.286214 ) AND ( t2.\"holiday\" NOT IN ( 'No holiday' ) OR t2.\"holiday\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 7.966581896562819e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 68.9956068955138 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 7.975106805403055e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 7.975106805403055e-05 + 5.2980510009154398e+02\n", " WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.286214 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" > 6957.303371 ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -1.314712363235606e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.04717003289907078 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.317428773219315e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.317428773219332e-06 + 7.8257840351760217e+00\n", " WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.286214 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" <= 6957.303371 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -0.0001622247708287244 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 9.219195611541375 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -0.0001624142455173989 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -0.0001624142455173987 + -9.1615088286977944e+00\n", " ELSE NULL\n", " END\n", ") AS \"feature_1_12\",\n", " t1.rowid AS rownum\n", "FROM \"POPULATION__STAGING_TABLE_1\" t1\n", "INNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\n", "ON 1 = 1\n", "WHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\n", "AND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\n", "GROUP BY t1.rowid;\n", "```" ], "text/plain": [ "'DROP TABLE IF EXISTS \"FEATURE_1_12\";\\n\\nCREATE TABLE \"FEATURE_1_12\" AS\\nSELECT AVG( \\n CASE\\n WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.286214 ) AND ( t2.\"holiday\" IN ( \\'No holiday\\' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 0.0003655426559629976 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 71.04907704233962 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0003659565812331032 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0003659565812330983 + -1.2102245006452505e+02\\n WHEN ( t1.\"ds\" - t2.\"ds\" > 604379.286214 ) AND ( t2.\"holiday\" NOT IN ( \\'No holiday\\' ) OR t2.\"holiday\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 7.966581896562819e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 68.9956068955138 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 7.975106805403055e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 7.975106805403055e-05 + 5.2980510009154398e+02\\n WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.286214 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" > 6957.303371 ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -1.314712363235606e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.04717003289907078 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.317428773219315e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.317428773219332e-06 + 7.8257840351760217e+00\\n WHEN ( t1.\"ds\" - t2.\"ds\" <= 604379.286214 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t1.\"ds\" - t2.\"ds\" <= 6957.303371 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -0.0001622247708287244 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 9.219195611541375 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -0.0001624142455173989 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -0.0001624142455173987 + -9.1615088286977944e+00\\n ELSE NULL\\n END\\n) AS \"feature_1_12\",\\n t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\\nAND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\\nGROUP BY t1.rowid;'" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w_holiday[0].sql" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__Plot predictions & traffic volume vs. time__\n", "\n", "We now plot the predictions against the observed values of the target for the first 7 days of the testing set. You can see that the predictions closely follows the original series. RelMT was able to identify certain patterns in the series, including:\n", "- Day and night separation\n", "- The daily commuting peeks (on weekdays)\n", "- The decline on weekends\n", "\n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Staging... 100% |██████████| [elapsed: 00:00, remaining: 00:00] \n", "Preprocessing... 100% |██████████| [elapsed: 00:00, remaining: 00:00] \n", "RelMT: Building features... 100% |██████████| [elapsed: 00:05, remaining: 00:00] \n", "\n" ] } ], "source": [ "predictions = pipe.predict(time_series.test)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "# the test set starts at 2018/03/15 – a thursday; we introduce an offset to, once again, start on a monday\n", "def limit_view(view):\n", " start_date = '2018-03-19'\n", " end_date = '2018-03-26'\n", " return view[(view.ds >= start_date) & (view.ds < end_date)]" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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traffic_volumeds
0585.3387452018-03-15 00:00:00
1359.0894472018-03-15 01:00:00
2303.8977052018-03-15 02:00:00
3356.7084662018-03-15 03:00:00
4856.1911622018-03-15 04:00:00
.........
47953371.0078122018-09-30 19:00:00
47962977.4401862018-09-30 20:00:00
47972493.3708502018-09-30 21:00:00
47981436.8916022018-09-30 22:00:00
4799905.4038092018-09-30 23:00:00
\n", "

4800 rows × 2 columns

\n", "
" ], "text/plain": [ " traffic_volume ds\n", "0 585.338745 2018-03-15 00:00:00\n", "1 359.089447 2018-03-15 01:00:00\n", "2 303.897705 2018-03-15 02:00:00\n", "3 356.708466 2018-03-15 03:00:00\n", "4 856.191162 2018-03-15 04:00:00\n", "... ... ...\n", "4795 3371.007812 2018-09-30 19:00:00\n", "4796 2977.440186 2018-09-30 20:00:00\n", "4797 2493.370850 2018-09-30 21:00:00\n", "4798 1436.891602 2018-09-30 22:00:00\n", "4799 905.403809 2018-09-30 23:00:00\n", "\n", "[4800 rows x 2 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Predict with getML\n", "prediction_getml = pd.DataFrame(np.array(predictions), columns=['traffic_volume'])\n", "prediction_getml['ds'] = time_series.test.population['ds'].to_numpy()\n", "prediction_getml" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "lines_to_next_cell": 0 }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(20, 10))\n", "\n", "actual = limit_view(time_series.test.population.to_pandas())\n", "\n", "ax.plot(actual[\"ds\"], actual[\"traffic_volume\"], label=\"Actual\")\n", "ax.plot(actual[\"ds\"], limit_view(prediction_getml)['traffic_volume'], label=\"Predicted getML\")\n", "fig.suptitle(\n", " \"Predicted vs. actual traffic volume for first full week of testing set\",\n", " fontsize=14,\n", " fontweight=\"bold\",\n", ")\n", "fig.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.5 Features\n", "\n", "The most important feature looks as follows:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "```sql\n", "DROP TABLE IF EXISTS \"FEATURE_1_11\";\n", "\n", "CREATE TABLE \"FEATURE_1_11\" AS\n", "SELECT SUM( \n", " CASE\n", " WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.056994616117964e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0004592958687265713 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.47446253771948e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.474462407374121e-05 + 5.7136772527002925e+01\n", " WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -0.0002728527078393066 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.01052789409335724 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001346563960090505 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001346563960090505 + -1.6323514509683892e+02\n", " WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -6.450603601298901e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.4011052890935949 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -6.365908267767004e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -6.368337472002008e-06 + 3.5377949203029338e+01\n", " WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( '0', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.830812354148993e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.8224585907500582 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.352120390568317e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.36062674844675e-05 + 1.0670459471423501e+03\n", " ELSE NULL\n", " END\n", ") AS \"feature_1_11\",\n", " t1.rowid AS rownum\n", "FROM \"POPULATION__STAGING_TABLE_1\" t1\n", "INNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\n", "ON 1 = 1\n", "WHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\n", "AND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\n", "GROUP BY t1.rowid;\n", "```" ], "text/plain": [ "'DROP TABLE IF EXISTS \"FEATURE_1_11\";\\n\\nCREATE TABLE \"FEATURE_1_11\" AS\\nSELECT SUM( \\n CASE\\n WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.056994616117964e-05 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.0004592958687265713 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.47446253771948e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.474462407374121e-05 + 5.7136772527002925e+01\\n WHEN ( t1.\"ds\" - t2.\"ds\" > 6965.710287 ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -0.0002728527078393066 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * -0.01052789409335724 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * 0.0001346563960090505 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * 0.0001346563960090505 + -1.6323514509683892e+02\\n WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * -6.450603601298901e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.4011052890935949 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -6.365908267767004e-06 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -6.368337472002008e-06 + 3.5377949203029338e+01\\n WHEN ( t1.\"ds\" - t2.\"ds\" <= 6965.710287 OR t1.\"ds\" IS NULL OR t2.\"ds\" IS NULL ) AND ( t2.\"hour\" NOT IN ( \\'0\\', \\'6\\', \\'7\\', \\'8\\', \\'9\\', \\'10\\', \\'11\\', \\'12\\', \\'13\\', \\'14\\', \\'15\\', \\'16\\', \\'17\\', \\'18\\', \\'19\\', \\'20\\', \\'21\\', \\'22\\', \\'23\\' ) OR t2.\"hour\" IS NULL ) THEN COALESCE( t1.\"ds\" - 1486337853.612977, 0.0 ) * 3.830812354148993e-06 + COALESCE( t2.\"traffic_volume\" - 3302.204612593936, 0.0 ) * 0.8224585907500582 + COALESCE( t2.\"ds\" - 1486335600, 0.0 ) * -1.352120390568317e-05 + COALESCE( t2.\"ds__1_000000_hours\" - 1486339200, 0.0 ) * -1.36062674844675e-05 + 1.0670459471423501e+03\\n ELSE NULL\\n END\\n) AS \"feature_1_11\",\\n t1.rowid AS rownum\\nFROM \"POPULATION__STAGING_TABLE_1\" t1\\nINNER JOIN \"TRAFFIC__STAGING_TABLE_2\" t2\\nON 1 = 1\\nWHERE t2.\"ds__1_000000_hours\" <= t1.\"ds\"\\nAND ( t2.\"ds__7_041667_days\" > t1.\"ds\" OR t2.\"ds__7_041667_days\" IS NULL )\\nGROUP BY t1.rowid;'" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pipe.features.to_sql()[pipe.features.sort(by=\"importances\")[0].name]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.6 Productionization\n", "\n", "It is possible to productionize the pipeline by transpiling the features into production-ready SQL code. Please also refer to getML's `sqlite3` module." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# Creates a folder named interstate94_pipeline containing\n", "# the SQL code.\n", "pipe.features.to_sql().save(\"interstate94_pipeline\", remove=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "While the feature is less smooth, it is really close to what we got in the 1-step case. This is another indication for the prescence of strong time-related patterns in the data.\n", "\n", "## 3. Benchmarks against Prophet\n", "\n", "By design, Prophet isn't capable of delivering the 1-step ahead predictions we did with getML. In order to retrieve a benchmark in the 1-step case nonetheless, we mimic 1-step ahead predictions through cross validating the model on a rolling origin. This clearly gives Prophet an advantage as all information up to the origin is incorporated when *fitting* the model and a new fit is calculated for every 1-step ahead forecast. Prophet's performance thus has to be viewed as an upper bound. Further, as noted above, we thought it would be interesting to let Multirel and Relboost figure out time based patterns by itself if we provide only deterministic components. So, in a second step, we benchmark this case against Prophet. For both tools, we use very simple models with all hyperparameters set to their default values." ] }, { "cell_type": "markdown", "metadata": { "lines_to_next_cell": 0 }, "source": [ "Here we fit the model. We fit a new Prophet model for every hour. This is a computationally expensive operation even for our test subsample of 30 days. For the 720 hours (= 720 models) it takes around 6 hours. Therefore we read the predicitions from disc. If you want to reestimate the Prophet predicitions, you can rename the csv files on disc." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8b73f7c02b48450d866d70223d3ee9f9", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/720 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(20, 10))\n", "# Plot all together\n", "ax.plot(time_series.test.population.ds, time_series.test.population.traffic_volume, label='Actual')\n", "ax.plot(prediction_getml['ds'], prediction_getml.traffic_volume, label='Predicted getML')\n", "ax.plot(prediction_prophet.ds, prediction_prophet.yhat, label='Predicted prophet')\n", "plt.title('1-Step-Ahaed Predicitions')\n", "plt.legend()\n", "plt.ylabel('Traffic Volume')\n", "plt.xlabel('Time')\n", "# We shift the data by 5 days to let the plot start on a mondey\n", "start_date = pd.Timestamp(year=2018, month=3, day=19)\n", "end_date = pd.Timestamp(year=2018, month=3, day=26)\n", "plt.xlim(start_date, end_date)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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traffic_volumeds
96509.5491332018-03-19 00:00:00
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.........
2602687.9689942018-03-25 20:00:00
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" ], "text/plain": [ " traffic_volume ds\n", "96 509.549133 2018-03-19 00:00:00\n", "97 359.089447 2018-03-19 01:00:00\n", "98 290.026855 2018-03-19 02:00:00\n", "99 356.708466 2018-03-19 03:00:00\n", "100 856.191162 2018-03-19 04:00:00\n", ".. ... ...\n", "260 2687.968994 2018-03-25 20:00:00\n", "261 2284.754395 2018-03-25 21:00:00\n", "262 2950.236084 2018-03-25 22:00:00\n", "263 1135.205688 2018-03-25 23:00:00\n", "264 561.838135 2018-03-26 00:00:00\n", "\n", "[169 rows x 2 columns]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "prediction_getml[(prediction_getml.ds>=start_date) & (prediction_getml.ds<=end_date)]" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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dsyhatyhat_loweryhat_upperycutoff
962018-03-19 00:00:00855.916110-234.1632971960.056205540.02018-03-18 23:00:00
972018-03-19 01:00:00214.890270-871.8708811347.346909293.02018-03-19 00:00:00
982018-03-19 02:00:00-201.129924-1202.677841887.193163254.02018-03-19 01:00:00
992018-03-19 03:00:00-0.633600-1047.9919981079.592098348.02018-03-19 02:00:00
1002018-03-19 04:00:00925.225010-114.3875691971.703068819.02018-03-19 03:00:00
.....................
2602018-03-25 20:00:002488.6961341410.5268483577.4593702784.02018-03-25 19:00:00
2612018-03-25 21:00:002020.131236943.2176633200.0538133967.02018-03-25 20:00:00
2622018-03-25 22:00:001743.971268656.4804652721.6583851794.02018-03-25 21:00:00
2632018-03-25 23:00:001434.999641375.0480482493.040061984.02018-03-25 22:00:00
2642018-03-26 00:00:00916.526718-192.3107711869.164473518.02018-03-25 23:00:00
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169 rows × 6 columns

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" ], "text/plain": [ " ds yhat yhat_lower yhat_upper y \\\n", "96 2018-03-19 00:00:00 855.916110 -234.163297 1960.056205 540.0 \n", "97 2018-03-19 01:00:00 214.890270 -871.870881 1347.346909 293.0 \n", "98 2018-03-19 02:00:00 -201.129924 -1202.677841 887.193163 254.0 \n", "99 2018-03-19 03:00:00 -0.633600 -1047.991998 1079.592098 348.0 \n", "100 2018-03-19 04:00:00 925.225010 -114.387569 1971.703068 819.0 \n", ".. ... ... ... ... ... \n", "260 2018-03-25 20:00:00 2488.696134 1410.526848 3577.459370 2784.0 \n", "261 2018-03-25 21:00:00 2020.131236 943.217663 3200.053813 3967.0 \n", "262 2018-03-25 22:00:00 1743.971268 656.480465 2721.658385 1794.0 \n", "263 2018-03-25 23:00:00 1434.999641 375.048048 2493.040061 984.0 \n", "264 2018-03-26 00:00:00 916.526718 -192.310771 1869.164473 518.0 \n", "\n", " cutoff \n", "96 2018-03-18 23:00:00 \n", "97 2018-03-19 00:00:00 \n", "98 2018-03-19 01:00:00 \n", "99 2018-03-19 02:00:00 \n", "100 2018-03-19 03:00:00 \n", ".. ... \n", "260 2018-03-25 19:00:00 \n", "261 2018-03-25 20:00:00 \n", "262 2018-03-25 21:00:00 \n", "263 2018-03-25 22:00:00 \n", "264 2018-03-25 23:00:00 \n", "\n", "[169 rows x 6 columns]" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "prediction_prophet[(prediction_prophet.ds>=start_date) & (prediction_prophet.ds<=end_date)]" ] }, { "cell_type": "markdown", "metadata": { "lines_to_next_cell": 0 }, "source": [ "What can we take from this plot? The strong time-related patterns carry on to the testing set and the xgboost is able to incorporate this information to deliver highly accurate 1-step ahead predictions. Notice that Prophets additive components model results in negative predictions for the weekends' lows at night. We can also see an anomaly on March, 24 that neither model is able to predict (feel free to play with the window to verify that its an annomaly).\n", "\n", "Now we benchmark the performance of h-step ahead forecasts. Remember, in the models, only deterministic features are incorporated. Here, we fit the h-step ahead forecast with Prophet. This is how Prophet is meant to be applied. We allow for multiplicative seasonalities to at least partially remedy the problem with negative predictions discussed above." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# h-step ahead forecast with Prophet\n", "from IPython.display import Image\n", "\n", "try:\n", " forecast_prophet = pd.read_csv('forecast_prophet.csv')\n", " forecast_prophet['ds'] = pd.to_datetime(forecast_prophet['ds'])\n", " display(Image(filename='components.png'))\n", "except FileNotFoundError:\n", " import logging\n", " import cmdstanpy\n", " logger = logging.getLogger('cmdstanpy')\n", " logger.addHandler(logging.NullHandler())\n", " logger.propagate = False\n", " logger.setLevel(logging.CRITICAL)\n", " \n", " from prophet import Prophet\n", " \n", " traffic_prophet = (\n", " traffic\n", " .to_pandas()\n", " .rename(\n", " {'traffic_volume': 'y'}, axis='columns'\n", " )\n", " )\n", " \n", " model_forecast_prophet = Prophet(seasonality_mode='multiplicative')\n", " model_forecast_prophet.fit(traffic_prophet[traffic_prophet.ds=split_date].ds)\n", "\n", " forecast_prophet = model_forecast_prophet.predict(future)\n", "\n", " forecast_prophet.to_csv('forecast_prophet.csv',\n", " encoding='utf-8', index=False)\n", " model_forecast_prophet.plot_components(forecast_prophet)\n", " pd.plotting.register_matplotlib_converters()" ] }, { "cell_type": "markdown", "metadata": { "lines_to_next_cell": 0 }, "source": [ "A typical Prophet components graph. " ] }, { "cell_type": "markdown", "metadata": { "lines_to_next_cell": 0 }, "source": [ "Seasonalities are now applied multiplicatively, but the combination of the totally bottoming out daily cycle and the negative additive trend will result in negative predictions nontheless.\n", "\n", "Score the Prophet model." ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "lines_to_next_cell": 0 }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "R2: 0.8244497208087814\n" ] } ], "source": [ "r2_forecast_prophet = stats.pearsonr(forecast_prophet['yhat'].values,\n", " time_series.test.population.traffic_volume.to_numpy())[0]**2\n", "print('R2:', r2_forecast_prophet)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Conclusion\n", "\n", "__Benchmarks against Prophet__\n", "\n", "By design, Prophet isn't capable of delivering the 1-step ahead predictions we did with getML. To retrieve a benchmark in the 1-step case nonetheless, we mimic 1-step ahead predictions through cross-validating the model on a rolling origin. This gives Prophet an advantage as all information up to the origin is incorporated when *fitting* the model and a new fit is calculated for every 1-step ahead forecast.\n", "\n", "\n", "__Results__\n", "\n", "We have benchmarked getML against Facebook’s Prophet library on a univariate time series with strong seasonal components.\n", "Prophet is made for exactly these sort of data sets, so you would expect this to be a home run for Prophet. The opposite is true - getML’s relational learning algorithms outperform Prophet's 1-step ahead predictions by ~15 percentage points:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameR-squared
0getML98.14%
1prophet 1-step-ahead83.32%
2prophet forecast82.44%
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" ], "text/plain": [ " Name R-squared\n", "0 getML 98.14%\n", "1 prophet 1-step-ahead 83.32%\n", "2 prophet forecast 82.44%" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scores = [getml_score.rsquared, r2_prophet, r2_forecast_prophet]\n", "\n", "pd.DataFrame(data={ \n", " 'Name': ['getML', 'prophet 1-step-ahead', 'prophet forecast'],\n", " 'R-squared': [f'{score:.2%}' for score in scores]\n", "})" ] } ], "metadata": { "jupytext": { "encoding": "# -*- coding: utf-8 -*-", "formats": "ipynb,py:percent,md" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.18" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": false, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": true }, "vscode": { "interpreter": { "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1" } } }, "nbformat": 4, "nbformat_minor": 4 }