redisai 1.0.0

RedisAI Python Client

========== redisai-py

.. image:: https://img.shields.io/github/license/RedisAI/redisai-py.svg :target: https://github.com/RedisAI/redisai-py

.. image:: https://badge.fury.io/py/redisai.svg :target: https://badge.fury.io/py/redisai

.. image:: https://circleci.com/gh/RedisAI/redisai-py/tree/master.svg?style=svg :target: https://circleci.com/gh/RedisAI/redisai-py/tree/master

.. image:: https://img.shields.io/github/release/RedisAI/redisai-py.svg :target: https://github.com/RedisAI/redisai-py/releases/latest

.. image:: https://codecov.io/gh/RedisAI/redisai-py/branch/master/graph/badge.svg :target: https://codecov.io/gh/RedisAI/redisai-py

redisai-py is the Python client for RedisAI. Checkout the documentation <https://redisai-py.readthedocs.io/en/latest/>_ for API details and examples

Installation

1. Install Redis 5.0 or above
2. Install RedisAI <http://redisai.io>_
3. Install the Python client

.. code-block:: bash

$ pip install redisai

4. Install serialization-deserialization utility (optional)

.. code-block:: bash

$ pip install ml2rt

RedisAI example repo <https://github.com/RedisAI/redisai-examples>_ shows few examples made using redisai-py under python_client folder. Also, checkout ml2rt <https://github.com/hhsecond/ml2rt>_ for convenient functions those might help in converting models (sparkml, sklearn, xgboost to ONNX), serializing models to disk, loading it back to redisai-py etc.