Pre-release
This release is a pre-release and may not be stable for production use.
Analytics Zoo: A unified Data Analytics and AI platform for distributed TensorFlow, Keras, PyTorch, Apache Spark/Flink and Ray.
You may want to develop your AI solutions using Analytics Zoo if:
- You want to easily prototype the entire end-to-end pipeline that applies AI models (e.g., TensorFlow, Keras, PyTorch, BigDL, OpenVINO, etc.) to production big data.
- You want to transparently scale your AI applications from a laptop to large clusters with "zero" code changes.
- You want to deploy your AI pipelines to existing YARN or K8S clusters WITHOUT any modifications to the clusters.
- You want to automate the process of applying machine learning (such as feature engineering, hyperparameter tuning, model selection and distributed inference).
Find instructions to install analytics-zoo via pip, please visit our documentation page: https://analytics-zoo.github.io/master/#PythonUserGuide/install/
For source code and more information, please visit our GitHub page: https://github.com/intel-analytics/analytics-zoo
1 maintainer
Metadata
1 maintainer
Release files for analytics-zoo-serving 0.12.0b2022060101
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| analytics_zoo_serving-0.12.0b2022060101-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / analytics_zoo_serving-0.12.0b2022060101-py2.py3-none-any.whl
| Download URL | analytics_zoo_serving-0.12.0b2022060101-py2.py3-none-any.whl |
|---|---|
| Size | 20.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
9588462afcc75e06778833c265bd8581a686a410986749b8b834a9be531df5af
|
|
BLAKE2b-256 checksum How to use checksums |
738223168778146e45d9609c29e46e904f66c49eaaf86136ecc22a3513138c0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/2.7.8
|
