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Update Notebooks and README (#356)
*Issue #, if available:* *Description of changes:* By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice. --------- Co-authored-by: Oleksandr Shchur <oleks.shchur@gmail.com>
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README.md
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README.md
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@ -56,6 +56,10 @@ To perform inference with Chronos, the easiest way is to install this package th
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pip install chronos-forecasting
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```
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> [!TIP]
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> For reliable production use, we recommend using Chronos-2 models through [Amazon SageMaker JumpStart](https://aws.amazon.com/sagemaker/ai/jumpstart/). Check out [this tutorial](notebooks/deploy-chronos-to-amazon-sagemaker.ipynb) to learn how to deploy Chronos-2 inference endpoints to AWS with just a few lines of code.
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### Forecasting
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A minimal example showing how to perform forecasting using Chronos-2:
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@ -111,8 +115,15 @@ plt.legend()
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## Example Notebooks
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- [Chronos-2 Quick Start](notebooks/chronos-2-quickstart.ipynb)
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- [Deploy Chronos-Bolt on Amazon SageMaker](notebooks/deploy-chronos-bolt-to-amazon-sagemaker.ipynb)
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- Deploy Chronos-2 on Amazon SageMaker (coming soon!)
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<a href="https://studiolab.sagemaker.aws/import/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb">
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<img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open In SageMaker Studio Lab" height="18" align="absmiddle">
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</a>
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<a href="https://colab.research.google.com/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" height="18" align="absmiddle">
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</a>
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- [Deploy Chronos-2 on Amazon SageMaker](notebooks/deploy-chronos-to-amazon-sagemaker.ipynb)
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## 📝 Citation
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@ -7,6 +7,12 @@
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"source": [
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"# Getting Started with Chronos-2\n",
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"\n",
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"[](https://studiolab.sagemaker.aws/import/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb)\n",
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"[](\n",
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"https://colab.research.google.com/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb)\n",
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"\n",
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"\n",
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"\n",
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"**Chronos-2** is a foundation model for time series forecasting that builds on [Chronos](https://arxiv.org/abs/2403.07815) and [Chronos-Bolt](https://aws.amazon.com/blogs/machine-learning/fast-and-accurate-zero-shot-forecasting-with-chronos-bolt-and-autogluon/). It offers significant improvements in capabilities and can handle diverse forecasting scenarios not supported by earlier models.\n",
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"\n",
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"| Capability | Chronos | Chronos-Bolt | Chronos-2 |\n",
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@ -31,7 +37,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -U 'chronos-forecasting>=2.0' 'pandas[pyarrow]' 'matplotlib'"
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"%pip install 'chronos-forecasting>=2.0' 'pandas[pyarrow]' 'matplotlib'"
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]
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},
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{
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@ -41,9 +47,9 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"# Use only 1 GPU if available\n",
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"import os\n",
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"\n",
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"# Use only 1 GPU if available\n",
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"os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\"\n",
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"\n",
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"import pandas as pd\n",
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@ -1586,7 +1592,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.11"
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"version": "3.11.13"
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}
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},
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"nbformat": 4,
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