Framework to make youre prediction performance-efficient and scalable.
Videos about aqueduct <docs/video.rst>_Fundamentals <docs/fundamentals.rst>_Example <docs/example.rst>_Batching <docs/batching.rst>_Logging <docs/logging.rst>_Metrics <docs/metrics.rst>_F.A.Q. <docs/faq.rst>_Sentry support <docs/sentry.rst>_Aiohttp <examples/aiohttp/>_Flask <examples/flask/>_Install using pip:
.. code-block:: shell
pip install aqueduct
Moreover, aqueduct has "optional extras"
numpy - support types from numpy in shared memoryaiohttp - extension for aiohttp support(see more in examples).. code-block:: shell
pip install aqueduct[numpy,aiohttp]
Feel free to ask questions in Telegram: t.me/avito-ml <https://t.me/avito_ml>_
FAQs
Builder for performance-efficient prediction.
We found that aqueduct demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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