Metadata-Version: 2.1
Name: analytics-zoo
Version: 0.11.2
Summary: A unified Data Analytics and AI platform for distributed TensorFlow, Keras, PyTorch, Apache Spark/Flink and Ray
Home-page: https://github.com/intel-analytics/analytics-zoo
Author: Analytics Zoo Authors
Author-email: bigdl-user-group@googlegroups.com
License: Apache License, Version 2.0
Platform: mac
Platform: linux
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Description-Content-Type: text/markdown
Requires-Dist: pyspark (==2.4.6)
Requires-Dist: bigdl (==0.13.0)
Requires-Dist: conda-pack (==0.3.1)
Provides-Extra: automl
Requires-Dist: tensorflow (<2.0.0,>=1.15.0) ; extra == 'automl'
Requires-Dist: h5py (==2.10.0) ; extra == 'automl'
Requires-Dist: hiredis (==1.1.0) ; extra == 'automl'
Requires-Dist: ray[tune] (==1.2.0) ; extra == 'automl'
Requires-Dist: psutil ; extra == 'automl'
Requires-Dist: aiohttp ; extra == 'automl'
Requires-Dist: setproctitle ; extra == 'automl'
Requires-Dist: pandas ; extra == 'automl'
Requires-Dist: scikit-learn (<=0.22.0,>=0.20.0) ; extra == 'automl'
Requires-Dist: requests ; extra == 'automl'
Requires-Dist: tsfresh ; extra == 'automl'
Requires-Dist: scipy (==1.5) ; extra == 'automl'
Requires-Dist: aioredis (==1.3.1) ; extra == 'automl'
Provides-Extra: ray
Requires-Dist: ray (==1.2.0) ; extra == 'ray'
Requires-Dist: psutil ; extra == 'ray'
Requires-Dist: aiohttp (==3.7.0) ; extra == 'ray'
Requires-Dist: async-timeout (==3.0.1) ; extra == 'ray'
Requires-Dist: setproctitle ; extra == 'ray'
Requires-Dist: hiredis (==1.1.0) ; extra == 'ray'
Requires-Dist: aioredis (==1.1.0) ; extra == 'ray'

[**Analytics Zoo**](https://github.com/intel-analytics/analytics-zoo/)
is an open source _**Big Data AI**_ platform, and includes the following
features for scaling end-to-end AI to distributed Big Data:

- [Orca](https://github.com/intel-analytics/analytics-zoo#getting-started-with-orca):
seamlessly scale out TensorFlow and PyTorch for Big Data (using Spark & Ray)

- [RayOnSpark](https://github.com/intel-analytics/analytics-zoo#getting-started-with-rayonspark):
run Ray programs directly on Big Data clusters

- [BigDL
Extensions](https://github.com/intel-analytics/analytics-zoo#getting-started-with-bigdl-extensions):
high-level Spark ML pipeline and Keras-like APIs for BigDL

- [Chronos](https://github.com/intel-analytics/analytics-zoo#getting-started-with-chronos):
scalable time series analysis using AutoML

- [PPML](https://github.com/intel-analytics/analytics-zoo#ppml-privacy-preserving-machine-learning):
privacy preserving big data analysis and machine learning (*experimental*)

For more information, you may [read the docs](https://analytics-zoo.readthedocs.io/).


