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
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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

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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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This version

1.14.0

1.13.1

1.13.0

1.12.0

1.11.7

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