| Name | redisai JSON |
| Version |
1.3.0
JSON |
| download |
| home_page | |
| Summary | RedisAI Python Client |
| upload_time | 2023-02-05 15:21:07 |
| maintainer | |
| docs_url | None |
| author | Redis |
| requires_python | >=3.8,<=4.0.0 |
| license | BSD-3-Clause |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
==========
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://github.com/RedisAI/redisai-py/actions/workflows/integration.yml/badge.svg
:target: https://github.com/RedisAI/redisai-py/actions/workflows/integration.yml
.. 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
.. image:: https://readthedocs.org/projects/redisai-py/badge/?version=latest
:target: https://redisai-py.readthedocs.io/en/latest/?badge=latest
.. image:: https://img.shields.io/badge/Forum-RedisAI-blue
:target: https://forum.redis.com/c/modules/redisai
.. image:: https://img.shields.io/discord/697882427875393627?style=flat-square
:target: https://discord.gg/rTQm7UZ
.. image:: https://snyk.io/test/github/RedisAI/redisai-py/badge.svg?targetFile=pyproject.toml
:target: https://snyk.io/test/github/RedisAI/redisai-py?targetFile=pyproject.toml
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
Development
-----------
1. Assuming you have virtualenv installed, create a virtualenv to manage your python dependencies, and activate it.
```virtualenv -v venv; source venv/bin/activate```
2. Install [pypoetry](https://python-poetry.org/) to manage your dependencies.
```pip install poetry```
3. Install dependencies.
```poetry install --no-root```
[tox](https://tox.readthedocs.io/en/latest/) runs all tests as its default target. Running *tox* by itself will run unit tests. Ensure you have a running redis, with the module loaded.
**Contributing**
Prior to submitting a pull request, please ensure you've built and installed poetry as above. Then:
1. Run the linter.
```tox -e linters.```
2. Run the unit tests. This assumes you have a redis server running, with the [RedisAI module](https://redisai.io) already loaded. If you don't, you may want to install a [docker build](https://hub.docker.com/r/redislabs/redisai/tags).
```tox -e tests```
`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.
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