Simplify AWS usage with aws-sagemaker-remote

Library and command-line for performing processing using AWS with minimal configuration and AWS knowledge required.

• SageMaker Training to remotely run training scripts, automatically managing required resources and enabling a host of command-line options
• SageMaker Processing to remotely run python processing scripts using S3 data with little modification required
• SageMaker Batch Transform to run parallel processing of objects in S3 on SageMaker containers
• S3 Batch Processing to run massively parallel processing of objects in S3 using Lambda functions
• SageMaker Inference to deploy models for real-time inference
• Command-Line Interface containing utilities for managing AWS resources

Contents

• README
  • Installation
  • Documentation
  • Continuous Integration
  • PyPI
  • GitHub
• Command-Line Interface
  • aws-sagemaker-remote
• SageMaker Processing
  • Basic usage
  • Processing Job Tracking
  • Configuration
  • Environment Customization
  • Additional arguments
  • Command-Line Arguments
  • Example Code
• S3 Batch Processing
  • Usage
  • Command-Line Interface
• SageMaker Batch Transform
  • Usage
  • Command-Line Interface
• SageMaker Training
  • Basic usage
  • Path Handling
  • Training Job Tracking
  • Configuration
  • Environment Customization
  • Spot Training
  • Additional arguments
  • Command-Line Arguments
  • Example Code
• SageMaker Inference
  • Terminology
  • Usage
• Modules
  • aws_sagemaker_remote package

Indices and tables

• Index
• Module Index
• Search Page