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An implementation of Google Cloud ML Engine Prediction using aiohttp.

Project description

Features

  • asyncio: better use of your cpu idle time
  • pep8 compliant: following best code standards
  • tests: full tested to keep up-to-date on socketcluster
  • high-performance prediction: we try to use aio-grpc when possible

Example

from asyncio_ml_engine import MachineLearningClient
project = 'my-gcloud-project'
service_account = './myserviceaccount.json'

async def myfunc():
  async with MachineLearningClient(project, service_account) as client:
    prediction = await client.predict('mymodel', X)

You can find more examples in the examples/ subdirectory.

Installation

$ pip install asyncio-gcloud-ml-engine

License

MIT

Project details


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