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
Quickstart
Install using pip:
pip install aqueductMoreover, aqueduct has “optional extras”
numpy - support types from numpy in shared memory
aiohttp - extension for aiohttp support(see more in examples)
Documentation
Getting started
Additional features
Examples
Contact Us
Feel free to ask questions in Telegram: t.me/avito-ml
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aqueduct-1.11.5.tar.gz
(40.7 kB
view details)
File details
Details for the file aqueduct-1.11.5.tar.gz.
File metadata
- Download URL: aqueduct-1.11.5.tar.gz
- Upload date:
- Size: 40.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75b64932b93a0a78f7de12388cb165736db7fa5696a246f98869cf4782c3a9b2
|
|
| MD5 |
4250a339b92aa18160ac84fa10353579
|
|
| BLAKE2b-256 |
57bb82322c54b9dac007d27ef776a58dcdcabeb98a7aa30175d2f300218ae083
|
