Metadata-Version: 2.1
Name: aws-sagemaker-remote
Version: 0.0.5
Summary: Simplify running processing and training remotely on AWS SageMaker
Home-page: https://github.com/bstriner/aws-sagemaker-remote
Author: Ben Striner
Author-email: bstriner@gmail.com
License: UNKNOWN
Description: 
        aws-sagemaker-remote
        ++++++++++++++++++++
        
        Remotely run and track ML research using AWS SageMaker.
        
        
        * Standardized command line flags
        * Remotely run scripts with minimal changes
        * Automatically manage AWS resources
        * All code, inputs, outputs, arguments, and settings are tracked in one place
        * Reproducible batch processing jobs to prepare datasets
        * Reproducible training jobs that track hyperparameters and metrics
        
        Track three types of objects in a standard way:
        
        
        * Processing jobs consume file inputs and produce file outputs. Useful for data conversion, extraction, etc.
        * Training jobs train models while tracking metrics and hyperparameters.
        * Inference models provide predictions and can be deployed on endpoints. Can be automatically created from and linked to training jobs for tracking purposes or can deploy externally-created models.
        
        Installation
        =======================
        
        Release
        -------
        
        .. code-block:: bash
        
           pip install aws-sagemaker-remote
        
        Development
        -----------
        
        .. code-block:: bash
        
           git clone https://github.com/bstriner/aws-sagemaker-remote
           cd aws-sagemaker-remote
           python setup.py develop
        
        Documentation
        =======================
        
        View latest documentation at `ReadTheDocs <https://aws-sagemaker-remote.readthedocs.io/>`_
        
        Continuous Integration
        =======================
        
        View continuous integration at `TravisCI <https://travis-ci.org/github/bstriner/aws-sagemaker-remote>`_
        
        
        PyPI
        =======================
        
        View releases on `PyPI <https://pypi.org/project/aws-sagemaker-remote/>`_
        
        
        GitHub
        =======================
        
        View source code on `GitHub <https://github.com/bstriner/aws-sagemaker-remote>`_
        
        GitHub tags are automatically released on ReadTheDocs, tested on TravisCI, and deployed to PyPI if successful.
        
        
Platform: UNKNOWN
Description-Content-Type: text/x-rst
