Metadata-Version: 2.1
Name: aws-mlops
Version: 0.1.0
Summary: AWS MLOps Python package
Home-page: https://aws-mlops.readthedocs.io/
Author: Alessandra Bilardi
Author-email: alessandra.bilardi@gmail.com
License: UNKNOWN
Project-URL: Source, https://github.com/bilardi/aws-mlops
Project-URL: Bug Reports, https://github.com/bilardi/aws-mlops/issues
Project-URL: Funding, https://donate.pypi.org
Description: Getting started
        ===============
        
        AWS MLOps package is implemented to help you like a framework for deploying what it is necessary for your best model.
        
        The goal is to implement this package to keep your focus on your prep and test code using the AWS SageMaker services.
        
        It is part of the `educational repositories <https://github.com/pandle/materials>`_ to learn how to write stardard code and common uses of the TDD and CI / CD.
        
        Prerequisites
        #############
        
        You can use `Serverless framework <https://www.serverless.com/framework/docs/providers/aws/guide/installation/>`_ for deploying the AWS services:
        if you want to use the guide below, you have to install Serverless framework before
        
        .. code-block:: bash
        
            npm install -g serverless
        
        If you want to use another AWS tool, you can see the repository `aws-tool-comparison <https://github.com/bilardi/aws-tool-comparison>`_ before to implement your version.
        
        Installation
        ############
        
        The package is not self-consistent. So you have to download the package by github and to install the requirements before to deploy on AWS:
        
        .. code-block:: bash
        
            git clone https://github.com/bilardi/aws-mlops
            cd aws-mlops/
            pip3 install --upgrade -r requirements.txt
            npm install
            export AWS_PROFILE=your-account
            export STAGE=development
            SLS_DEBUG=* sls deploy --stage $STAGE
            bash example/build_image.sh
        
        Or if you want to use this package into your code, you can install by python3-pip:
        
        .. code-block:: bash
        
            pip3 install aws_mlops
            python3
            >>> import aws_mlops.mlops as MLOps
            >>> help(MLOps)
        
        Read the documentation on `readthedocs <https://aws-mlops.readthedocs.io/en/latest/>`_ for
        
        * Usage
        * Development
        
        Change Log
        ##########
        
        See `CHANGELOG.md <https://github.com/bilardi/aws-mlops/blob/master/CHANGELOG.md>`_ for details.
        
        License
        #######
        
        This package is released under the MIT license.  See `LICENSE <https://github.com/bilardi/aws-mlops/blob/master/LICENSE>`_ for details.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
