Builder for performance-efficient prediction.

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  • License: MIT License (MIT)
  • Author: Data Science SWAT
  • Tags datascience, learning
  • Requires: Python >=3.8
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Project description

Framework for performance-efficient prediction.

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

Documentation

Examples

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
Classifiers

Release history Release notifications | RSS feed

1.11.7

1.11.6

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.14

1.10.13

1.10.12

1.10.11

1.10.10

This version

1.10.9

1.10.8

1.10.7

1.10.6

1.10.5

1.10.4

1.10.3

1.10.2

1.10.1

1.10.0

1.9.0

1.8.1

1.8.0

1.7.1

1.7.0

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Source Distribution

aqueduct-1.10.9.tar.gz (37.2 kB view hashes)

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