{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# M4 Benchmark\n", "\n", "Note: The example shown in this notebook is taken from the companion book [Nonlinear System Identification and Forecasting: Theory and Practice with SysIdentPy](https://sysidentpy.org/book/0-Preface/)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The M4 dataset is a well known resource for time series forecasting, offering a wide range of data series used to test and improve forecasting methods. Created for the M4 competition organized by Spyros Makridakis, this dataset has driven many advancements in forecasting techniques.\n", "\n", "The M4 dataset includes 100,000 time series from various fields such as demographics, finance, industry, macroeconomics, and microeconomics, which were selected randomly from the ForeDeCk database. The series come in different frequencies (yearly, quarterly, monthly, weekly, daily, and hourly), making it a comprehensive collection for testing forecasting methods.\n", "\n", "In this case study, we will focus on the hourly subset of the M4 dataset. This subset consists of time series data recorded hourly, providing a detailed and high-frequency look at changes over time. Hourly data presents unique challenges due to its granularity and the potential for capturing short-term fluctuations and patterns.\n", "\n", "The M4 dataset provides a standard benchmark to compare different forecasting methods, allowing researchers and practitioners to evaluate their models consistently. With series from various domains and frequencies, the M4 dataset represents real-world forecasting challenges, making it valuable for developing robust forecasting techniques. The competition and the dataset itself have led to the creation of new algorithms and methods, significantly improving forecasting accuracy and reliability.\n", "\n", "We will present a end to end walkthrough using the M4 hourly dataset to demonstrate the capabilities of SysIdentPy. SysIdentPy offers a range of tools and techniques designed to effectively handle the complexities of time series data, but we will focus on fast and easy setup for this case. We will cover model selection and evaluation metrics specific to the hourly dataset.\n", "\n", "By the end of this case study, you will have a solid understanding of how to use SysIdentPy for forecasting with the M4 hourly dataset, preparing you to tackle similar forecasting challenges in real-world scenarios.\n", "\n", "### Required Packages and Versions\n", "\n", "To ensure that you can replicate this case study, it is essential to use specific versions of the required packages. Below is a list of the packages along with their respective versions needed for running the case studies effectively.\n", "\n", "To install all the required packages, you can create a `requirements.txt` file with the following content:\n", "\n", "```\n", "sysidentpy==0.4.0\n", "datasetsforecast==0.0.8\n", "pandas==2.2.2\n", "numpy==1.26.0\n", "matplotlib==3.8.4\n", "s3fs==2024.6.1\n", "```\n", "\n", "Then, install the packages using:\n", "```\n", "pip install -r requirements.txt\n", "```\n", "\n", "- Ensure that you use a virtual environment to avoid conflicts between package versions.\n", "- Versions specified are based on compatibility with the code examples provided. If you are using different versions, some adjustments in the code might be necessary.\n", "\n", "### SysIdentPy configuration\n", "\n", "In this section, we will demonstrate the application of SysIdentPy to the Silver box dataset. The following code will guide you through the process of loading the dataset, configuring the SysIdentPy parameters, and building a model for mentioned system." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import warnings\n", "import numpy as np\n", "import pandas as pd\n", "from pandas.errors import SettingWithCopyWarning\n", "import matplotlib.pyplot as plt\n", "\n", "from sysidentpy.model_structure_selection import FROLS, AOLS\n", "from sysidentpy.basis_function import Polynomial\n", "from sysidentpy.parameter_estimation import LeastSquares\n", "from sysidentpy.metrics import (\n", " root_relative_squared_error,\n", " symmetric_mean_absolute_percentage_error,\n", ")\n", "from sysidentpy.utils.plotting import plot_results\n", "\n", "from datasetsforecast.m4 import M4, M4Evaluation\n", "\n", "warnings.simplefilter(action=\"ignore\", category=FutureWarning)\n", "warnings.simplefilter(action=\"ignore\", category=UserWarning)\n", "warnings.simplefilter(action=\"ignore\", category=SettingWithCopyWarning)\n", "\n", "train = pd.read_csv(\"https://auto-arima-results.s3.amazonaws.com/M4-Hourly.csv\")\n", "test = pd.read_csv(\n", " \"https://auto-arima-results.s3.amazonaws.com/M4-Hourly-test.csv\"\n", ").rename(columns={\"y\": \"y_test\"})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following plots provide a visualization of the training data for a small subset of the time series. The plot shows the raw data, giving you an insight into the patterns and behaviors inherent in each series.\n", "\n", "By observing the data, you can get a sense of the variety and complexity of the time series we are working with. The plots can reveal important characteristics such as trends, seasonal patterns, and potential anomalies within the time series. Understanding these elements is crucial for the development of accurate forecasting models.\n", "\n", "However, when dealing with a large number of different time series, it is common to start with broad assumptions rather than detailed individual analysis. In this context, we will adopt a similar approach. Instead of going into the specifics of each dataset, we will make some general assumptions and see how SysIdentPy handles them.\n", "\n", "This approach provides a practical starting point, demonstrating how SysIdentPy can manage different types of time series data without too much work. As you become more familiar with the tool, you can refine your models with more detailed insights. For now, let's focus on using SysIdentPy to create the forecasts based on these initial assumptions.\n", "\n", "Our first assumption is that there is a 24-hour seasonal pattern in the series. By examining the plots below, this seems reasonable. Therefore, we'll begin building our models with `ylag=24`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = (\n", " train[train[\"unique_id\"] == \"H10\"]\n", " .reset_index(drop=True)[\"y\"]\n", " .plot(figsize=(15, 2), title=\"H10\")\n", ")\n", "xcoords = [a for a in range(24, 24 * 30, 24)]\n", "\n", "for xc in xcoords:\n", " plt.axvline(x=xc, color=\"red\", linestyle=\"--\", alpha=0.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lets check build a model for the `H20` group before we extrapolate the settings for every group. Because there are no input features, we will be using a `NAR` model type in SysIdentPy. To keep things simple and fast, we will start with Polynomial basis function with degree $1$." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "unique_id = \"H20\"\n", "y_id = train[train[\"unique_id\"] == unique_id][\"y\"].values.reshape(-1, 1)\n", "y_val = test[test[\"unique_id\"] == unique_id][\"y_test\"].values.reshape(-1, 1)\n", "\n", "basis_function = Polynomial(degree=1)\n", "model = FROLS(\n", " order_selection=True,\n", " ylag=24,\n", " estimator=LeastSquares(),\n", " basis_function=basis_function,\n", " model_type=\"NAR\",\n", ")\n", "\n", "model.fit(y=y_id)\n", "y_val = np.concatenate([y_id[-model.max_lag :], y_val])\n", "y_hat = model.predict(y=y_val, forecast_horizon=48)\n", "smape = symmetric_mean_absolute_percentage_error(\n", " y_val[model.max_lag : :], y_hat[model.max_lag : :]\n", ")\n", "\n", "plot_results(\n", " y=y_val[model.max_lag :],\n", " yhat=y_hat[model.max_lag :],\n", " n=30000,\n", " figsize=(15, 4),\n", " title=f\"Group: {unique_id} - SMAPE {round(smape, 4)}\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Probably, the result are not optimal and will not work for every group. However, let's check how this setting performs against the winner model  [M4 time series competition](https://www.researchgate.net/publication/325901666_The_M4_Competition_Results_findings_conclusion_and_way_forward): the Exponential Smoothing with Recurrent Neural Networks ([ESRNN](https://www.sciencedirect.com/science/article/abs/pii/S0169207019301153))." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SMAPEMASEOWA
Hourly9.3284430.8930460.440163
\n", "
" ], "text/plain": [ " SMAPE MASE OWA\n", "Hourly 9.328443 0.893046 0.440163" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "esrnn_url = (\n", " \"https://github.com/Nixtla/m4-forecasts/raw/master/forecasts/submission-118.zip\"\n", ")\n", "esrnn_forecasts = M4Evaluation.load_benchmark(\"data\", \"Hourly\", esrnn_url)\n", "esrnn_evaluation = M4Evaluation.evaluate(\"data\", \"Hourly\", esrnn_forecasts)\n", "\n", "esrnn_evaluation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following code took only 49 seconds to run on my machine (AMD Ryzen 5 5600x processor, 32GB RAM at 3600MHz). Because of its efficiency, I didn't create a parallel version. By the end of this use case, you will see how SysIdentPy can be both fast and effective, delivering good results without too much optimization." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SMAPEMASEOWA
Hourly16.0341960.9580830.636132
\n", "
" ], "text/plain": [ " SMAPE MASE OWA\n", "Hourly 16.034196 0.958083 0.636132" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "r = []\n", "ds_test = list(range(701, 749))\n", "for u_id, data in train.groupby(by=[\"unique_id\"], observed=True):\n", " y_id = data[\"y\"].values.reshape(-1, 1)\n", " basis_function = Polynomial(degree=1)\n", " model = FROLS(\n", " ylag=24,\n", " estimator=LeastSquares(),\n", " basis_function=basis_function,\n", " model_type=\"NAR\",\n", " n_info_values=25,\n", " )\n", " try:\n", " model.fit(y=y_id)\n", " y_val = y_id[-model.max_lag :].reshape(-1, 1)\n", " y_hat = model.predict(y=y_val, forecast_horizon=48)\n", " r.append(\n", " [\n", " u_id * len(y_hat[model.max_lag : :]),\n", " ds_test,\n", " y_hat[model.max_lag : :].ravel(),\n", " ]\n", " )\n", " except Exception:\n", " print(f\"Problem with {u_id}\")\n", "\n", "results_1 = pd.DataFrame(r, columns=[\"unique_id\", \"ds\", \"NARMAX_1\"]).explode(\n", " [\"unique_id\", \"ds\", \"NARMAX_1\"]\n", ")\n", "results_1[\"NARMAX_1\"] = results_1[\"NARMAX_1\"].astype(float) # .clip(lower=10)\n", "pivot_df = results_1.pivot(index=\"unique_id\", columns=\"ds\", values=\"NARMAX_1\")\n", "results = pivot_df.to_numpy()\n", "\n", "M4Evaluation.evaluate(\"data\", \"Hourly\", results)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The initial results are reasonable, but they don't quite match the performance of `ESRNN`. These results are based solely on our first assumption. To better understand the performance, let’s examine the groups with the worst results.\n", "\n", "![](https://github.com/wilsonrljr/sysidentpy-data/blob/4085901293ba5ed5674bb2911ef4d1fa20f3438d/book/assets/c10_m4_h147_r1.png?raw=true)\n", "\n", "The following plot illustrates two such groups, `H147` and `H136`. Both exhibit a 24-hour seasonal pattern.\n", "\n", "![](https://github.com/wilsonrljr/sysidentpy-data/blob/4085901293ba5ed5674bb2911ef4d1fa20f3438d/book/assets/c10_m4_seasonal_h147_1.png?raw=true)\n", "\n", "![](https://github.com/wilsonrljr/sysidentpy-data/blob/4085901293ba5ed5674bb2911ef4d1fa20f3438d/book/assets/c10_m4_h136_seasonal_1.png?raw=true)\n", "\n", "However, a closer look reveals an additional insight: in addition to the daily pattern, these series also show a weekly pattern. Observe how the data looks like when we split the series into weekly segments.\n", "\n", "![](https://github.com/wilsonrljr/sysidentpy-data/blob/4085901293ba5ed5674bb2911ef4d1fa20f3438d/book/assets/c10_m4_h147_seasonal_1.png?raw=true)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "xcoords = list(range(0, 168 * 5, 168))\n", "filtered_train = train[train[\"unique_id\"] == \"H147\"].reset_index(drop=True)\n", "\n", "fig, ax = plt.subplots(figsize=(10, 1.5 * len(xcoords[1:])))\n", "for i, start in enumerate(xcoords[:-1]):\n", " end = xcoords[i + 1]\n", " ax = fig.add_subplot(len(xcoords[1:]), 1, i + 1)\n", " filtered_train[\"y\"].iloc[start:end].plot(ax=ax)\n", " ax.set_title(f\"H147 -> Slice {i+1}: Hour {start} to {end-1}\")\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Therefore, we will build models setting `ylag=168`.\n", "\n", "> Note that this is a very high number for lags, so be careful if you want to try it with higher polynomial degrees because the time to run the models can increase significantly. I tried some configurations with polynomial degree equal to 2 and only took $6$ minutes to run (even less, using `AOLS`), without making the code run in parallel. As you can see, SysIdentPy can be very fast and you can make it faster by applying parallelization." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SMAPEMASEOWA
Hourly10.4759980.7737490.446471
\n", "
" ], "text/plain": [ " SMAPE MASE OWA\n", "Hourly 10.475998 0.773749 0.446471" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# this took 2min to run on my computer.\n", "r = []\n", "ds_test = list(range(701, 749))\n", "for u_id, data in train.groupby(by=[\"unique_id\"], observed=True):\n", " y_id = data[\"y\"].values.reshape(-1, 1)\n", " basis_function = Polynomial(degree=1)\n", " model = FROLS(\n", " ylag=168,\n", " estimator=LeastSquares(),\n", " basis_function=basis_function,\n", " model_type=\"NAR\",\n", " )\n", " try:\n", " model.fit(y=y_id)\n", " y_val = y_id[-model.max_lag :].reshape(-1, 1)\n", " y_hat = model.predict(y=y_val, forecast_horizon=48)\n", " r.append(\n", " [\n", " u_id * len(y_hat[model.max_lag : :]),\n", " ds_test,\n", " y_hat[model.max_lag : :].ravel(),\n", " ]\n", " )\n", " except Exception:\n", " print(f\"Problem with {u_id}\")\n", "\n", "results_1 = pd.DataFrame(r, columns=[\"unique_id\", \"ds\", \"NARMAX_1\"]).explode(\n", " [\"unique_id\", \"ds\", \"NARMAX_1\"]\n", ")\n", "results_1[\"NARMAX_1\"] = results_1[\"NARMAX_1\"].astype(float) # .clip(lower=10)\n", "pivot_df = results_1.pivot(index=\"unique_id\", columns=\"ds\", values=\"NARMAX_1\")\n", "results = pivot_df.to_numpy()\n", "M4Evaluation.evaluate(\"data\", \"Hourly\", results)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, the results are much closer to those of the `ESRNN` model! While the Symmetric Mean Absolute Percentage Error (`SMAPE`) is slightly worse, the Mean Absolute Scaled Error (`MASE`) is better when comparing against `ESRNN`, leading to a very similar Overall Weighted Average (`OWA`) metric. Remarkably, these results are achieved using only simple `AR` models. Next, let's see if the `AOLS` method can provide even better results." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SMAPEMASEOWA
Hourly9.9511410.8099650.439755
\n", "
" ], "text/plain": [ " SMAPE MASE OWA\n", "Hourly 9.951141 0.809965 0.439755" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "r = []\n", "ds_test = list(range(701, 749))\n", "for u_id, data in train.groupby(by=[\"unique_id\"], observed=True):\n", " y_id = data[\"y\"].values.reshape(-1, 1)\n", " basis_function = Polynomial(degree=1)\n", " model = AOLS(\n", " ylag=168,\n", " basis_function=basis_function,\n", " model_type=\"NAR\",\n", " # due to high lag settings, k was increased to 6 as an initial guess\n", " k=6,\n", " )\n", " try:\n", " model.fit(y=y_id)\n", " y_val = y_id[-model.max_lag :].reshape(-1, 1)\n", " y_hat = model.predict(y=y_val, forecast_horizon=48)\n", " r.append(\n", " [\n", " u_id * len(y_hat[model.max_lag : :]),\n", " ds_test,\n", " y_hat[model.max_lag : :].ravel(),\n", " ]\n", " )\n", " except Exception:\n", " print(f\"Problem with {u_id}\")\n", "\n", "results_1 = pd.DataFrame(r, columns=[\"unique_id\", \"ds\", \"NARMAX_1\"]).explode(\n", " [\"unique_id\", \"ds\", \"NARMAX_1\"]\n", ")\n", "results_1[\"NARMAX_1\"] = results_1[\"NARMAX_1\"].astype(float) # .clip(lower=10)\n", "pivot_df = results_1.pivot(index=\"unique_id\", columns=\"ds\", values=\"NARMAX_1\")\n", "results = pivot_df.to_numpy()\n", "M4Evaluation.evaluate(\"data\", \"Hourly\", results)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Overall Weighted Average (`OWA`) is even better than that of the `ESRNN` model! Additionally, the `AOLS` method was incredibly efficient, taking only **6 seconds to run**. This combination of high performance and rapid execution makes `AOLS` a compelling alternative for time series forecasting in cases with multiple series.\n", "\n", "Before we finish, let's verify how the performance of the `H147` model has improved with the `ylag=168` setting.\n", "\n", "![](https://github.com/wilsonrljr/sysidentpy-data/blob/4085901293ba5ed5674bb2911ef4d1fa20f3438d/book/assets/c10_m4_h147_r2.png?raw=true)\n", "\n", "> Based on the M4 benchmark paper, we could also clip the predictions lower than 10 to 10 and the results would be slightly better. But this is left to the user.\n", "\n", "We could achieve even better performance with some fine-tuning of the model configuration. However, I’ll leave exploring these alternative adjustments as an exercise for the user. However, keep in mind that experimenting with different settings does not always guarantee improved results. A deeper theoretical knowledge can often lead you to better configurations and, hence, better results." ] } ], "metadata": { "kernelspec": { "display_name": "sysidentpyv04", "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": "3.12.4" } }, "nbformat": 4, "nbformat_minor": 2 }