diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml index 223529b84..ceb5baa2b 100644 --- a/.github/workflows/ci.yaml +++ b/.github/workflows/ci.yaml @@ -83,7 +83,7 @@ jobs: cache-environment: true - name: Install pip requirements - run: pip install ./ + run: pip install -e ".[dev]" - name: Run tests run: nbdev_test --skip_file_glob "*distributed*" diff --git a/nbs/docs/tutorials/12_longhorizon.ipynb b/nbs/docs/tutorials/12_longhorizon.ipynb new file mode 100644 index 000000000..9f695be2b --- /dev/null +++ b/nbs/docs/tutorials/12_longhorizon.ipynb @@ -0,0 +1,348 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Forecasting on a long horizon\n", + "\n", + "Long-horizon forecasting refers to predictions far into the future, typically exceeding two seasonal periods. However, the exact definition of a 'long horizon' can vary based on the frequency of the data. For example, when dealing with hourly data, a forecast for three days into the future is considered long-horizon, as it covers 72 timestamps (calculated as 3 days × 24 hours/day). In the context of monthly data, a period exceeding two years would typically be classified as long-horizon forecasting. Similarly, for daily data, a forecast spanning more than two weeks falls into the long-horizon category.\n", + "\n", + "Of course, forecasting over a long horizon comes with its challenges. The longer the forecast horizon, the greater the uncertainty in the predictions. It is also possible to have unknown factors come into play in the long-term that were not expected at the time of forecasting.\n", + "\n", + "To tackle those challenges, use TimeGPT's specialized model for long-horizon forecasting by specifying `model='timegpt-1-long-horizon'` in your setup.\n", + "\n", + "For a detailed step-by-step guide, follow this tutorial on long-horizon forecasting." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#| hide\n", + "from nixtlats.utils import colab_badge" + ] + }, + { + "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/12_longhorizon.ipynb)" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#| echo: false\n", + "colab_badge('docs/tutorials/12_longhorizon')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#| hide\n", + "from dotenv import load_dotenv" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#| hide\n", + "load_dotenv()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from nixtlats import TimeGPT" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "timegpt = TimeGPT(\n", + " # defaults to os.environ.get(\"TIMEGPT_TOKEN\")\n", + " token = 'my_token_provided_by_nixtla'\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#| hide\n", + "timegpt = TimeGPT()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's load the ETTh1 dataset. This is a widely used dataset to evaluate models on their long-horizon forecasting capabalities. \n", + "\n", + "The ETTh1 dataset monitors an electricity transformer from a region of a province of China including oil temperature and variants of load (such as high useful load and high useless load) from July 2016 to July 2018 at an hourly frequency.\n", + "\n", + "For this tutorial, let's only consider the oil temperature variation over time." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0OT2016-07-01 00:00:001.460552
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" + ], + "text/plain": [ + " unique_id ds y\n", + "0 OT 2016-07-01 00:00:00 1.460552\n", + "1 OT 2016-07-01 01:00:00 1.161527\n", + "2 OT 2016-07-01 02:00:00 1.161527\n", + "3 OT 2016-07-01 03:00:00 0.862611\n", + "4 OT 2016-07-01 04:00:00 0.525227" + ] + }, + "execution_count": null, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from datasetsforecast.long_horizon import LongHorizon\n", + "\n", + "Y_df, *_ = LongHorizon.load(directory='./', group='ETTh1')\n", + "\n", + "Y_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For this small experiment, let's set the horizon to 96 time steps (4 days into the future), and we will feed TimeGPT with a sequence of 42 days." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test = Y_df[-96:] # 96 = 4 days x 24h/day\n", + "input_seq = Y_df[-1104:-96] # Gets a sequence of 1008 observations (1008 = 42 days * 24h/day)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we are ready to use TimeGPT for long-horizon forecasting. Here, we need to set the `model` parameter to `\"timegpt-1-long-horizon\"`. This is the specialized model in TimeGPT that can handle such tasks." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:nixtlats.timegpt:Validating inputs...\n", + "INFO:nixtlats.timegpt:Preprocessing dataframes...\n", + "INFO:nixtlats.timegpt:Inferred freq: H\n", + "INFO:nixtlats.timegpt:Calling Forecast Endpoint...\n" + ] + } + ], + "source": [ + "fcst_df = timegpt.forecast(\n", + " df=input_seq,\n", + " h=96,\n", + " level=[90],\n", + " finetune_steps=10,\n", + " finetune_loss='mae',\n", + " model='timegpt-1-long-horizon',\n", + " time_col='ds',\n", + " target_col='y'\n", + ")" + ] + }, + { + "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": [ + "timegpt.plot(Y_df[-168:], fcst_df, models=['TimeGPT'], level=[90], time_col='ds', target_col='y')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's now evaluate the performance of TimeGPT using the mean absolute error (MAE)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test = test.copy()\n", + "\n", + "test.loc[:, 'TimeGPT'] = fcst_df['TimeGPT'].values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " unique_id TimeGPT\n", + "0 OT 0.146111\n" + ] + } + ], + "source": [ + "from utilsforecast.losses import mae\n", + "\n", + "evaluation = mae(test, models=['TimeGPT'], id_col='unique_id', target_col='y')\n", + "\n", + "print(evaluation)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here, TimeGPT achieves a MAE of 0.14." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "python3", + "language": "python", + "name": "python3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/setup.py b/setup.py index 28fbb9a89..f7e5aab7e 100644 --- a/setup.py +++ b/setup.py @@ -3,8 +3,8 @@ with open("README.md", "r", encoding="utf8") as fh: long_description = fh.read() -dev = ["black", "nbdev", "plotly", "python-dotenv", "statsforecast"] -distributed = ["dask", "fugue[ray]>=0.8.7", "pyspark", "ray[serve-grpc]"] +dev = ["black", "nbdev", "plotly", "python-dotenv", "statsforecast", "datasetsforecast"] +distributed = ["dask[dataframe]", "fugue[ray]>=0.8.7", "pyspark", "ray[serve-grpc]"] plotting = ["utilsforecast[plotting]>=0.0.5"] date_extras = ["holidays"]