asyncio-gcloud-ml-engine
Google Cloud Machine Learning Engine Prediction & Training
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-grpcwhen 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
Metadata
Release files for asyncio-gcloud-ml-engine 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| asyncio-gcloud-ml-engine-0.1.2.tar.gz | 4.3 kB | Without provenance | Details for asyncio-gcloud-ml-engine-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| asyncio_gcloud_ml_engine-0.1.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for asyncio_gcloud_ml_engine-0.1.2-py2.py3-none-any.whl |
Total release size: 10.0 kB
Release files / asyncio-gcloud-ml-engine-0.1.2.tar.gz
| Download URL | asyncio-gcloud-ml-engine-0.1.2.tar.gz |
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| Tags | Python 2 Python 3 |
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