{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/lib/python3.10/pty.py:89: RuntimeWarning: Using fork() can cause Polars to deadlock in the child process.\n", "In addition, using fork() with Python in general is a recipe for mysterious\n", "deadlocks and crashes.\n", "\n", "The most likely reason you are seeing this error is because you are using the\n", "multiprocessing module on Linux, which uses fork() by default. This will be\n", "fixed in Python 3.14. Until then, you want to use the \"spawn\" context instead.\n", "\n", "See https://docs.pola.rs/user-guide/misc/multiprocessing/ for details.\n", "\n", "If you really know what your doing, you can silence this warning with the warning module\n", "or by setting POLARS_ALLOW_FORKING_THREAD=1.\n", "\n", " pid, fd = os.forkpty()\n" ] } ], "source": [ "#| hide\n", "!pip install -Uqq nixtla nbdev" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "#| hide\n", "from nixtla.utils import in_colab\n", "from nbdev import show_doc" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#| hide\n", "IN_COLAB = in_colab()\n", "if not IN_COLAB:\n", " from nixtla.utils import colab_badge\n", " from dotenv import load_dotenv" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Missing Values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`TimeGPT` requires time series data that doesn't have any missing values. It is possible to have multiple series that begin and end on different dates, but it is essential that each series contains uninterrupted data for its given time frame.\n", "\n", "In this tutorial, we will show you how to deal with missing values in `TimeGPT`. \n", "\n", "**Outline** \n", "\n", "1. [Load Data](#load-data) \n", "\n", "2. [Get Started with TimeGPT](#get-started-with-timegpt)\n", "\n", "3. [Visualize Data](#visualize-data)\n", "\n", "4. [Fill Missing Values](#fill-missing-values)\n", "\n", "5. [Forecast with TimeGPT](#forecast-with-timegpt)\n", "\n", "6. [Important Considerations](#important-considerations)\n", "\n", "7. [References](#references)\n", "\n", "This work is based on skforecast's [Forecasting Time Series with Missing Values](https://cienciadedatos.net/documentos/py46-forecasting-time-series-missing-values) tutorial. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/tutorials/15_missing_values.ipynb)" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#| echo: false\n", "if not IN_COLAB:\n", " load_dotenv()\n", " colab_badge('docs/tutorials/15_missing_values')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will first load the data using `pandas`. This dataset represents the daily number of bike rentals in a city. The column names are in Spanish, so we will rename them to `ds` for the dates and `y` for the number of bike rentals." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": null, "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", "
dsy
02014-06-2399
12014-06-2472
22014-06-25119
32014-06-26135
42014-06-27149
\n", "
" ], "text/plain": [ " ds y\n", "0 2014-06-23 99\n", "1 2014-06-24 72\n", "2 2014-06-25 119\n", "3 2014-06-26 135\n", "4 2014-06-27 149" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.read_csv('https://raw.githubusercontent.com/JoaquinAmatRodrigo/Estadistica-machine-learning-python/master/data/usuarios_diarios_bicimad.csv')\n", "df = df[['fecha', 'Usos bicis total día']] # select date and target variable\n", "df.rename(columns={'fecha': 'ds', 'Usos bicis total día': 'y'}, inplace=True)\n", "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For convenience, we will convert the dates to timestamps and assign a unique id to the series. Although we only have one series in this example, when dealing with multiple series, it is necessary to assign a unique id to each one." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df['ds'] = pd.to_datetime(df['ds'])\n", "df['unique_id'] = 'id1'\n", "df = df[['unique_id', 'ds', 'y']]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we will separate the data in a training and a test set. We will use the last 93 days as the test set. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "train_df = df[:-93]\n", "test_df = df[-93:]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will now introduce some missing values in the training set to demonstrate how to deal with them. This will be done as in the [skforecast](https://cienciadedatos.net/documentos/py46-forecasting-time-series-missing-values) tutorial. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "mask = ~((train_df['ds'] >= '2020-09-01') & (train_df['ds'] <= '2020-10-10')) & ~((train_df['ds'] >= '2020-11-08') & (train_df['ds'] <= '2020-12-15'))\n", "\n", "train_df_gaps = train_df[mask]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Get Started with TimeGPT" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before proceeding, we will instantiate the `NixtlaClient` class, which provides access to all the methods from `TimeGPT`. To do this, you will need a Nixtla API key." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from nixtla import NixtlaClient" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "nixtla_client = NixtlaClient(\n", " # defaults to os.environ.get(\"NIXTLA_API_KEY\")\n", " api_key = 'my_api_key_provided_by_nixtla'\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> 👍 Use an Azure AI endpoint\n", ">\n", "> To use an Azure AI endpoint, set the `base_url` argument:\n", ">\n", "> `nixtla_client = NixtlaClient(base_url=\"you azure ai endpoint\", api_key=\"your api_key\")`" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#| hide\n", "if not IN_COLAB:\n", " nixtla_client = NixtlaClient()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To learn more about how to set up your API key, please refer to the [Setting Up Your API Key](https://docs.nixtla.io/docs/getting-started-setting_up_your_api_key) tutorial. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualize Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can visualize the data using the `plot` method from the `NixtlaClient` class. This method has an `engine` argument that allows you to choose between different plotting libraries. Default is `matplotlib`, but you can also use `plotly` for interactive plots." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nixtla_client.plot(train_df_gaps)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that there are two gaps in the data: from September 1, 2020, to October 10, 2020, and from November 8, 2020, to December 15, 2020. To better visualize these gaps, you can use the `max_insample_length` argument of the `plot` method or you can simply zoom in on the plot." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nixtla_client.plot(train_df_gaps, max_insample_length=800)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Additionally, notice a period from March 16, 2020, to April 21, 2020, where the data shows zero rentals. These are not missing values, but actual zeros corresponding to the COVID-19 lockdown in the city." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Fill Missing Values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before using `TimeGPT`, we need to ensure that: \n", "\n", "1. All timestamps from the start date to the end date are present in the data. \n", "\n", "2. The target column contains no missing values. \n", "\n", "To address the first issue, we will use the `fill_gaps` function from [`utilsforecast`](https://nixtlaverse.nixtla.io/utilsforecast/index.html), a Python package from Nixtla that provides essential utilities for time series forecasting, such as functions for data preprocessing, plotting, and evaluation.\n", "\n", "The `fill_gaps` function will fill in the missing dates in the data. To do this, it requires the following arguments:\n", "\n", "- `df`: The DataFrame containing the time series data.\n", "\n", "- `freq` (str or int): The frequency of the data. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from utilsforecast.preprocessing import fill_gaps" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of rows before filling gaps: 2851\n", "Number of rows after filling gaps: 2929\n" ] } ], "source": [ "print('Number of rows before filling gaps:', len(train_df_gaps))\n", "train_df_complete = fill_gaps(train_df_gaps, freq='D')\n", "print('Number of rows after filling gaps:', len(train_df_complete))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> NOTE:\n", ">\n", "> In this tutorial, the data contains only one time series. However, TimeGPT supports passing multiple series to the model. In this case, none of the time series can have missing values from their individual earliest timestamp until their individual lastest timestamp. If these individual time series have missing values, the user must decide how to fill these gaps for the individual time series. The [`fill_gaps`](https://nixtlaverse.nixtla.io/utilsforecast/preprocessing.html#fill-gaps) function provides a couple of additional arguments to assist with this (refer to the documentation for complete details), namely `start` and `end`" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "ename": "ModuleNotFoundError", "evalue": "No module named 'mlforecast._modidx'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/IPython/core/formatters.py:770\u001b[0m, in \u001b[0;36mPlainTextFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 763\u001b[0m stream \u001b[38;5;241m=\u001b[39m StringIO()\n\u001b[1;32m 764\u001b[0m printer \u001b[38;5;241m=\u001b[39m pretty\u001b[38;5;241m.\u001b[39mRepresentationPrinter(stream, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mverbose,\n\u001b[1;32m 765\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_width, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnewline,\n\u001b[1;32m 766\u001b[0m max_seq_length\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_seq_length,\n\u001b[1;32m 767\u001b[0m singleton_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msingleton_printers,\n\u001b[1;32m 768\u001b[0m type_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtype_printers,\n\u001b[1;32m 769\u001b[0m deferred_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdeferred_printers)\n\u001b[0;32m--> 770\u001b[0m \u001b[43mprinter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpretty\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 771\u001b[0m printer\u001b[38;5;241m.\u001b[39mflush()\n\u001b[1;32m 772\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m stream\u001b[38;5;241m.\u001b[39mgetvalue()\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/IPython/lib/pretty.py:419\u001b[0m, in \u001b[0;36mRepresentationPrinter.pretty\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 408\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m meth(obj, \u001b[38;5;28mself\u001b[39m, cycle)\n\u001b[1;32m 409\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 410\u001b[0m \u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mobject\u001b[39m\n\u001b[1;32m 411\u001b[0m \u001b[38;5;66;03m# check if cls defines __repr__\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 417\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mcallable\u001b[39m(_safe_getattr(\u001b[38;5;28mcls\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__repr__\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 418\u001b[0m ):\n\u001b[0;32m--> 419\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_repr_pprint\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcycle\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 421\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _default_pprint(obj, \u001b[38;5;28mself\u001b[39m, cycle)\n\u001b[1;32m 422\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/IPython/lib/pretty.py:794\u001b[0m, in \u001b[0;36m_repr_pprint\u001b[0;34m(obj, p, cycle)\u001b[0m\n\u001b[1;32m 792\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"A pprint that just redirects to the normal repr function.\"\"\"\u001b[39;00m\n\u001b[1;32m 793\u001b[0m \u001b[38;5;66;03m# Find newlines and replace them with p.break_()\u001b[39;00m\n\u001b[0;32m--> 794\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mrepr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 795\u001b[0m lines \u001b[38;5;241m=\u001b[39m output\u001b[38;5;241m.\u001b[39msplitlines()\n\u001b[1;32m 796\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m p\u001b[38;5;241m.\u001b[39mgroup():\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/nbdev/showdoc.py:168\u001b[0m, in \u001b[0;36mBasicMarkdownRenderer._repr_markdown_\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_repr_markdown_\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 167\u001b[0m doc \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m---\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m--> 168\u001b[0m src \u001b[38;5;241m=\u001b[39m \u001b[43mNbdevLookup\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mcode(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfn)\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m src: doc \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m _ext_link(src, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msource\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstyle=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfloat:right; font-size:smaller\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 170\u001b[0m h \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtitle_level\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/nbdev/doclinks.py:204\u001b[0m, in \u001b[0;36mNbdevLookup.__init__\u001b[0;34m(self, strip_libs, incl_libs, skip_mods)\u001b[0m\n\u001b[1;32m 202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m incl_libs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: incl_libs \u001b[38;5;241m=\u001b[39m (L(incl_libs)\u001b[38;5;241m+\u001b[39mstrip_libs)\u001b[38;5;241m.\u001b[39munique()\n\u001b[1;32m 203\u001b[0m \u001b[38;5;66;03m# Dict from lib name to _nbdev module for incl_libs (defaults to all)\u001b[39;00m\n\u001b[0;32m--> 204\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries \u001b[38;5;241m=\u001b[39m \u001b[43m{\u001b[49m\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43m_qual_syms\u001b[49m\u001b[43m(\u001b[49m\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mo\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mpkg_resources\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miter_entry_points\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnbdev\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 205\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mincl_libs\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdist\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkey\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mincl_libs\u001b[49m\u001b[43m}\u001b[49m\n\u001b[1;32m 206\u001b[0m py_syms \u001b[38;5;241m=\u001b[39m merge(\u001b[38;5;241m*\u001b[39mL(o[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msyms\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues() \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries\u001b[38;5;241m.\u001b[39mvalues())\u001b[38;5;241m.\u001b[39mconcat())\n\u001b[1;32m 207\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m strip_libs:\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/nbdev/doclinks.py:204\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m incl_libs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: incl_libs \u001b[38;5;241m=\u001b[39m (L(incl_libs)\u001b[38;5;241m+\u001b[39mstrip_libs)\u001b[38;5;241m.\u001b[39munique()\n\u001b[1;32m 203\u001b[0m \u001b[38;5;66;03m# Dict from lib name to _nbdev module for incl_libs (defaults to all)\u001b[39;00m\n\u001b[0;32m--> 204\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries \u001b[38;5;241m=\u001b[39m {o\u001b[38;5;241m.\u001b[39mname: _qual_syms(\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m) \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mlist\u001b[39m(pkg_resources\u001b[38;5;241m.\u001b[39miter_entry_points(group\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnbdev\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 205\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m incl_libs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m o\u001b[38;5;241m.\u001b[39mdist\u001b[38;5;241m.\u001b[39mkey \u001b[38;5;129;01min\u001b[39;00m incl_libs}\n\u001b[1;32m 206\u001b[0m py_syms \u001b[38;5;241m=\u001b[39m merge(\u001b[38;5;241m*\u001b[39mL(o[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msyms\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues() \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries\u001b[38;5;241m.\u001b[39mvalues())\u001b[38;5;241m.\u001b[39mconcat())\n\u001b[1;32m 207\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m strip_libs:\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/pkg_resources/__init__.py:2488\u001b[0m, in \u001b[0;36mEntryPoint.resolve\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 2484\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mresolve\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 2485\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 2486\u001b[0m \u001b[38;5;124;03m Resolve the entry point from its module and attrs.\u001b[39;00m\n\u001b[1;32m 2487\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 2488\u001b[0m module \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43m__import__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodule_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfromlist\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m__name__\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2489\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 2490\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m functools\u001b[38;5;241m.\u001b[39mreduce(\u001b[38;5;28mgetattr\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattrs, module)\n", "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'mlforecast._modidx'" ] }, { "ename": "ModuleNotFoundError", "evalue": "No module named 'mlforecast._modidx'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/IPython/core/formatters.py:406\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 404\u001b[0m method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n\u001b[1;32m 405\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 406\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 407\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 408\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/nbdev/showdoc.py:168\u001b[0m, in \u001b[0;36mBasicMarkdownRenderer._repr_markdown_\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_repr_markdown_\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 167\u001b[0m doc \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m---\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m--> 168\u001b[0m src \u001b[38;5;241m=\u001b[39m \u001b[43mNbdevLookup\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mcode(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfn)\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m src: doc \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m _ext_link(src, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msource\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstyle=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfloat:right; font-size:smaller\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 170\u001b[0m h \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtitle_level\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/nbdev/doclinks.py:204\u001b[0m, in \u001b[0;36mNbdevLookup.__init__\u001b[0;34m(self, strip_libs, incl_libs, skip_mods)\u001b[0m\n\u001b[1;32m 202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m incl_libs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: incl_libs \u001b[38;5;241m=\u001b[39m (L(incl_libs)\u001b[38;5;241m+\u001b[39mstrip_libs)\u001b[38;5;241m.\u001b[39munique()\n\u001b[1;32m 203\u001b[0m \u001b[38;5;66;03m# Dict from lib name to _nbdev module for incl_libs (defaults to all)\u001b[39;00m\n\u001b[0;32m--> 204\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries \u001b[38;5;241m=\u001b[39m \u001b[43m{\u001b[49m\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43m_qual_syms\u001b[49m\u001b[43m(\u001b[49m\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mo\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mpkg_resources\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43miter_entry_points\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mnbdev\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 205\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mincl_libs\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdist\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkey\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mincl_libs\u001b[49m\u001b[43m}\u001b[49m\n\u001b[1;32m 206\u001b[0m py_syms \u001b[38;5;241m=\u001b[39m merge(\u001b[38;5;241m*\u001b[39mL(o[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msyms\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues() \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries\u001b[38;5;241m.\u001b[39mvalues())\u001b[38;5;241m.\u001b[39mconcat())\n\u001b[1;32m 207\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m strip_libs:\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/nbdev/doclinks.py:204\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m incl_libs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: incl_libs \u001b[38;5;241m=\u001b[39m (L(incl_libs)\u001b[38;5;241m+\u001b[39mstrip_libs)\u001b[38;5;241m.\u001b[39munique()\n\u001b[1;32m 203\u001b[0m \u001b[38;5;66;03m# Dict from lib name to _nbdev module for incl_libs (defaults to all)\u001b[39;00m\n\u001b[0;32m--> 204\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries \u001b[38;5;241m=\u001b[39m {o\u001b[38;5;241m.\u001b[39mname: _qual_syms(\u001b[43mo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m) \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mlist\u001b[39m(pkg_resources\u001b[38;5;241m.\u001b[39miter_entry_points(group\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnbdev\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 205\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m incl_libs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m o\u001b[38;5;241m.\u001b[39mdist\u001b[38;5;241m.\u001b[39mkey \u001b[38;5;129;01min\u001b[39;00m incl_libs}\n\u001b[1;32m 206\u001b[0m py_syms \u001b[38;5;241m=\u001b[39m merge(\u001b[38;5;241m*\u001b[39mL(o[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msyms\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues() \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mentries\u001b[38;5;241m.\u001b[39mvalues())\u001b[38;5;241m.\u001b[39mconcat())\n\u001b[1;32m 207\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m strip_libs:\n", "File \u001b[0;32m~/miniforge3/envs/nixtla/lib/python3.11/site-packages/pkg_resources/__init__.py:2488\u001b[0m, in \u001b[0;36mEntryPoint.resolve\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 2484\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mresolve\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 2485\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 2486\u001b[0m \u001b[38;5;124;03m Resolve the entry point from its module and attrs.\u001b[39;00m\n\u001b[1;32m 2487\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 2488\u001b[0m module \u001b[38;5;241m=\u001b[39m \u001b[38;5;28m__import__\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodule_name, fromlist\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__name__\u001b[39m\u001b[38;5;124m'\u001b[39m], level\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m 2489\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 2490\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m functools\u001b[38;5;241m.\u001b[39mreduce(\u001b[38;5;28mgetattr\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattrs, module)\n", "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'mlforecast._modidx'" ] } ], "source": [ "#| eval:false\n", "show_doc(fill_gaps)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we need to decide how to fill the missing values in the target column. In this tutorial, we will use interpolation, but it is important to consider the specific context of your data when selecting a filling strategy. For example, if you are dealing with daily retail data, a missing value most likely indicates that there were no sales on that day, and you can fill it with zero. Conversely, if you are working with hourly temperature data, a missing value probably means that the sensor was not functioning, and you might prefer to use interpolation to fill the missing values." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "unique_id 0\n", "ds 0\n", "y 0\n", "dtype: int64" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_df_complete['y'] = train_df_complete['y'].interpolate(method='linear', limit_direction='both')\n", "\n", "train_df_complete.isna().sum() # check if there are any missing values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Forecast with TimeGPT" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are now ready to use the `forecast` method from the `NixtlaClient` class. This method requires the following arguments:\n", "\n", "- `df`: The DataFrame containing the time series data\n", "\n", "- `h`: (int) The forecast horizon. In this case, it is 93 days.\n", "\n", "- `model` (str): The model to use. Default is `timegpt-1`, but since the forecast horizon exceeds the frequency of the data (daily), we will use `timegpt-1-long-horizon`. To learn more about this, please refer to the [Forecasting on a Long Horizon](https://docs.nixtla.io/docs/tutorials-long_horizon_forecasting) tutorial." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:nixtla.nixtla_client:Validating inputs...\n", "INFO:nixtla.nixtla_client:Inferred freq: D\n", "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n", "INFO:nixtla.nixtla_client:Querying model metadata...\n", "WARNING:nixtla.nixtla_client:The specified horizon \"h\" exceeds the model horizon, this may lead to less accurate forecasts. Please consider using a smaller horizon.\n", "INFO:nixtla.nixtla_client:Restricting input...\n", "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n" ] } ], "source": [ "fcst = nixtla_client.forecast(train_df_complete, h=len(test_df), model='timegpt-1-long-horizon')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> 📘 Available models in Azure AI\n", ">\n", "> If you are using an Azure AI endpoint, please be sure to set `model=\"azureai\"`:\n", ">\n", "> `nixtla_client.forecast(..., model=\"azureai\")`\n", "> \n", "> For the public API, we support two models: `timegpt-1` and `timegpt-1-long-horizon`. \n", "> \n", "> By default, `timegpt-1` is used. Please see [this tutorial](https://docs.nixtla.io/docs/tutorials-long_horizon_forecasting) on how and when to use `timegpt-1-long-horizon`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can use the `plot` method to visualize the `TimeGPT` forecast and the test set. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nixtla_client.plot(test_df, fcst)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we will use the `evaluate` function from `utilsforecast` to compute the Mean Average Error (MAE) of the TimeGPT forecast. Before proceeding, we need to convert the dates in the forecast to timestamps so we can merge them with the test set.\n", "\n", "The `evaluate` function requires the following arguments:\n", "\n", "- `df`: The DataFrame containing the forecast and the actual values (in the `y` column).\n", "\n", "- `metrics` (list): The metrics to be computed." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from utilsforecast.evaluation import evaluate\n", "from utilsforecast.losses import mae" ] }, { "cell_type": "code", "execution_count": null, "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", "
unique_iddsyTimeGPT
0id12022-06-301346813357.357
1id12022-07-011293212390.052
2id12022-07-0299189778.649
3id12022-07-0389678846.637
4id12022-07-041286911589.071
\n", "
" ], "text/plain": [ " unique_id ds y TimeGPT\n", "0 id1 2022-06-30 13468 13357.357\n", "1 id1 2022-07-01 12932 12390.052\n", "2 id1 2022-07-02 9918 9778.649\n", "3 id1 2022-07-03 8967 8846.637\n", "4 id1 2022-07-04 12869 11589.071" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fcst['ds'] = pd.to_datetime(fcst['ds'])\n", "\n", "result = test_df.merge(fcst, on=['ds', 'unique_id'], how='left')\n", "result.head()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
unique_idmetricTimeGPT
0id1mae1824.693059
\n", "
" ], "text/plain": [ " unique_id metric TimeGPT\n", "0 id1 mae 1824.693059" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "evaluate(result, metrics=[mae])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Important Considerations " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The key takeaway from this tutorial is that `TimeGPT` requires time series data without missing values. This means that: \n", "\n", "1. Given the frequency of the data, the timestamps must be continuous, with no gaps between the start and end dates.\n", "\n", "2. The data must not contain missing values (NaNs). \n", "\n", "We also showed that `utilsforecast` provides a convenient function to fill missing dates and that you need to decide how to address the missing values. This decision depends on the context of your data, so be mindful when selecting a filling strategy, and choose the one you think best reflects reality.\n", "\n", "Finally, we also demonstrated that `utilsforecast` provides a function to evaluate the `TimeGPT` forecast using common accuracy metrics. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**References**\n", "\n", "* [Joaquín Amat Rodrigo and Javier Escobar Ortiz (2022). \"Exclude covid impact in time series forecasting\"](https://www.cienciadedatos.net/documentos/py45-weighted-time-series-forecasting.html)" ] } ], "metadata": { "kernelspec": { "display_name": "python3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 2 }