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Builder for performance-efficient prediction.

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


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)



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Project details

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aqueduct-1.11.6.tar.gz (41.1 kB view hashes)

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