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antinex-client-1.3.6

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توضیحات

AntiNex Python client
ویژگی مقدار
سیستم عامل -
نام فایل antinex-client-1.3.6
نام antinex-client
نسخه کتابخانه 1.3.6
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Jay Johnson
ایمیل نویسنده jay.p.h.johnson@gmail.com
آدرس صفحه اصلی https://github.com/jay-johnson/antinex-client
آدرس اینترنتی https://pypi.org/project/antinex-client/
مجوز -
AntiNex Python Client ===================== Python API Client for training deep neural networks with the REST API running https://github.com/jay-johnson/train-ai-with-django-swagger-jwt .. image:: https://travis-ci.org/jay-johnson/antinex-client.svg?branch=master :target: https://travis-ci.org/jay-johnson/antinex-client .. image:: https://readthedocs.org/projects/antinex-client/badge/?version=latest :target: http://antinex-client.readthedocs.io/en/latest/?badge=latest Install ------- pip install antinex-client AntiNex Stack Status -------------------- AntiNex client is part of the AntiNex stack: .. list-table:: :header-rows: 1 * - Component - Build - Docs Link - Docs Build * - `REST API <https://github.com/jay-johnson/train-ai-with-django-swagger-jwt>`__ - .. image:: https://travis-ci.org/jay-johnson/train-ai-with-django-swagger-jwt.svg?branch=master :alt: Travis Tests :target: https://travis-ci.org/jay-johnson/train-ai-with-django-swagger-jwt.svg - `Docs <http://antinex.readthedocs.io/en/latest/>`__ - .. image:: https://readthedocs.org/projects/antinex/badge/?version=latest :alt: Read the Docs REST API Tests :target: https://readthedocs.org/projects/antinex/badge/?version=latest * - `Core Worker <https://github.com/jay-johnson/antinex-core>`__ - .. image:: https://travis-ci.org/jay-johnson/antinex-core.svg?branch=master :alt: Travis AntiNex Core Tests :target: https://travis-ci.org/jay-johnson/antinex-core.svg - `Docs <http://antinex-core-worker.readthedocs.io/en/latest/>`__ - .. image:: https://readthedocs.org/projects/antinex-core-worker/badge/?version=latest :alt: Read the Docs AntiNex Core Tests :target: http://antinex-core-worker.readthedocs.io/en/latest/?badge=latest * - `Network Pipeline <https://github.com/jay-johnson/network-pipeline>`__ - .. image:: https://travis-ci.org/jay-johnson/network-pipeline.svg?branch=master :alt: Travis AntiNex Network Pipeline Tests :target: https://travis-ci.org/jay-johnson/network-pipeline.svg - `Docs <http://antinex-network-pipeline.readthedocs.io/en/latest/>`__ - .. image:: https://readthedocs.org/projects/antinex-network-pipeline/badge/?version=latest :alt: Read the Docs AntiNex Network Pipeline Tests :target: https://readthedocs.org/projects/antinex-network-pipeline/badge/?version=latest * - `AI Utils <https://github.com/jay-johnson/antinex-utils>`__ - .. image:: https://travis-ci.org/jay-johnson/antinex-utils.svg?branch=master :alt: Travis AntiNex AI Utils Tests :target: https://travis-ci.org/jay-johnson/antinex-utils.svg - `Docs <http://antinex-ai-utilities.readthedocs.io/en/latest/>`__ - .. image:: https://readthedocs.org/projects/antinex-ai-utilities/badge/?version=latest :alt: Read the Docs AntiNex AI Utils Tests :target: http://antinex-ai-utilities.readthedocs.io/en/latest/?badge=latest * - `Client <https://github.com/jay-johnson/antinex-client>`__ - .. image:: https://travis-ci.org/jay-johnson/antinex-client.svg?branch=master :alt: Travis AntiNex Client Tests :target: https://travis-ci.org/jay-johnson/antinex-client.svg - `Docs <http://antinex-client.readthedocs.io/en/latest/>`__ - .. image:: https://readthedocs.org/projects/antinex-client/badge/?version=latest :alt: Read the Docs AntiNex Client Tests :target: https://readthedocs.org/projects/antinex-client/badge/?version=latest Run Predictions =============== These examples use the default user ``root`` with password ``123321``. It is advised to change this to your own user in the future. Train a Deep Neural Network with a JSON List of Records ------------------------------------------------------- :: ai -u root -p 123321 -f examples/predict-rows-scaler-django-simple.json Train a Deep Neural Network to Predict Attacks with the AntiNex Datasets ------------------------------------------------------------------------ Please make sure the datasets are available to the REST API, Celery worker, and AntiNex Core worker. The datasets are already included in the docker container ``ai-core`` provided in the default ``compose.yml`` file: https://github.com/jay-johnson/train-ai-with-django-swagger-jwt/blob/51f731860daf134ea2bd3b68468927c614c83ee5/compose.yml#L53-L104 If you're running outside docker make sure to clone the repo with: :: git clone https://github.com/jay-johnson/antinex-datasets.git /opt/antinex/antinex-datasets Train the Django Defensive Deep Neural Network ---------------------------------------------- Please wait as this will take a few minutes to return and convert the predictions to a pandas DataFrame. :: ai -u root -p 123321 -f examples/scaler-full-django-antinex-simple.json ... [30200 rows x 72 columns] Using Pre-trained Neural Networks to make Predictions ----------------------------------------------------- The `AntiNex Core`_ manages pre-trained deep neural networks in memory. These can be used with the REST API by adding the ``"publish_to_core": true`` to a request while running with the `REST API compose.yml`_ docker containers running. Run: :: ai -u root -p 123321 -f examples/publish-to-core-scaler-full-django.json Here is the diff between requests that will run using a pre-trained model and one that will train a new neural network: :: antinex-client$ diff examples/publish-to-core-scaler-full-django.json examples/scaler-full-django-antinex-simple.json 5d4 < "publish_to_core": true, antinex-client$ .. _AntiNex Core: https://github.com/jay-johnson/antinex-core .. _REST API compose.yml: https://github.com/jay-johnson/train-ai-with-django-swagger-jwt/blob/master/compose.yml Prepare a Dataset ----------------- :: ai_prepare_dataset.py -u root -p 123321 -f examples/prepare-new-dataset.json Get Job Record for a Deep Neural Network ---------------------------------------- Get a user's MLJob record by setting: ``-i <MLJob.id>`` This include the model json or model description for the Keras DNN. :: ai_get_job.py -u root -p 123321 -i 4 Get Predictions Results for a Deep Neural Network ------------------------------------------------- Get a user's MLJobResult record by setting: ``-i <MLJobResult.id>`` This includes predictions from the training or prediction job. :: ai_get_results.py -u root -p 123321 -i 4 Get a Prepared Dataset ---------------------- Get a user's MLPrepare record by setting: ``-i <MLPrepare.id>`` :: ai_get_prepared_dataset.py -u root -p 123321 -i 15 Using a Client Built from Environment Variables ----------------------------------------------- This is how the `Network Pipeline`_ streams data to the `AntiNex Core`_ to make predictions with pre-trained models. Export the example environment file: :: source examples/example-prediction.env Run the client prediction stream script :: ai_env_predict.py -f examples/predict-rows-scaler-full-django.json .. _Network Pipeline: https://github.com/jay-johnson/network-pipeline .. _AntiNex Core: https://github.com/jay-johnson/antinex-core Development ----------- :: virtualenv -p python3 ~/.venvs/antinexclient && source ~/.venvs/antinexclient/bin/activate && pip install -e . Testing ------- Run all :: python setup.py test Linting ------- flake8 . pycodestyle . License ------- Apache 2.0 - Please refer to the LICENSE_ for more details .. _License: https://github.com/jay-johnson/antinex-client/blob/master/LICENSE


نیازمندی

مقدار نام
- colorlog
- coverage
- flake8
- matplotlib
- numpy
- pandas
- pep8
- pipenv
- pycodestyle
- pylint
- recommonmark
- requests
- seaborn
- sphinx
- sphinx-autobuild
- sphinx-rtd-theme
- spylunking
- tox
- tqdm
- unittest2
- mock


نحوه نصب


نصب پکیج whl antinex-client-1.3.6:

    pip install antinex-client-1.3.6.whl


نصب پکیج tar.gz antinex-client-1.3.6:

    pip install antinex-client-1.3.6.tar.gz