A unified framework for machine learning with time series
Project description
⌛ Welcome to aeon
aeon is an open source toolkit for learning from time series compatible with
scikit-learn. It provides access to the very latest
algorithms for time series machine learning, in addition to a range of classical
techniques for learning tasks such as forecasting and classification.
We strive to provide a broad library of time series algorithms including the latest advances, offer efficient implementations using numba, and interfaces with other time series packages to provide a single framework for algorithm comparison.
The latest aeon release is v0.2.0. You can view the full changelog here.
Our webpage and documentation is available at https://aeon-toolkit.org.
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⚙️ Installation
aeon requires a Python version of 3.8 or greater. Our full installation guide is
available in our documentation.
The easiest way to install aeon is via pip:
pip install aeon
Some estimators require additional packages to be installed. If you want to install the full package with all optional dependencies, you can use:
pip install aeon[all_extras]
💬 Where to ask questions
| Type | Platforms |
|---|---|
| 🐛 Bug Reports | GitHub Issue Tracker |
| ✨ Feature Requests & Ideas | GitHub Issue Tracker & Slack |
| 💻 Usage Questions | GitHub Discussions & Slack |
| 💬 General Discussion | GitHub Discussions & Slack |
| 🏭 Contribution & Development | Slack |
Release history Release notifications | RSS feed
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