Builder for performance-efficient prediction.

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  • License: MIT License (MIT)
  • Author: Data Science SWAT
  • Tags datascience , learning
  • Requires: Python >=3.8
  • Provides-Extra: aiohttp , numpy
Classifiers
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Project description

Framework to make youre prediction performance-efficient and scalable.

Key Benefits

  • Increases the throughput of your machine learning-based service

  • Uses shared memory for instantaneous transfer of large amounts of data between processes

  • All optimizations in one library

  • Supports multiple frameworks

Documentation

Examples

Installation

Install using pip:

pip install aqueduct

Moreover, aqueduct has “optional extras”

  • numpy - support types from numpy in shared memory

  • aiohttp - extension for aiohttp support(see more in examples)

pip install aqueduct[numpy,aiohttp]

Contact Us

Feel free to ask questions in Telegram: t.me/avito-ml

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for bugrimov from gravatar.com bugrimov Avatar for vlavla from gravatar.com vlavla

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Data Science SWAT
  • Tags datascience , learning
  • Requires: Python >=3.8
  • Provides-Extra: aiohttp , numpy
Classifiers

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