This repository contains example notebooks that show how to use algorithms and model packages from AWS Marketplace for machine learning
To know more about algorithms and model packages from AWS Marketplace, see documentation
This example notebook shows you how to package a model-package/algorithm for listing in AWS Marketplace for machine learning.
- Creating Algorithm and Model Package - Listing on AWS Marketplace provides a detailed walkthrough on how to package a scikit learn algorithm to create SageMaker Algorithm and SageMaker Model Package entities that can be used with the enhanced SageMaker Train/Transform/Hosting/Tuning APIs and listed on AWS Marketplace.
These examples show you how to use model-packages and algorithms from AWS Marketplace for machine learning.
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- Using Algorithm From AWS Marketplace provides a detailed walkthrough on how to use Algorithm with the enhanced SageMaker Train/Transform/Hosting/Tuning APIs by choosing a canonical product listed on AWS Marketplace.
- Using AutoML algorithm provides a detailed walkthrough on how to use AutoML algorithm from AWS Marketplace.
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- Using Model Packages From AWS Marketplace provides a detailed walkthrough on how to use Model Package entities with the enhanced SageMaker Transform/Hosting APIs by choosing a canonical product listed on AWS Marketplace.
- Using models for extracting vehicle metadata provides a detailed walkthrough on how to use pre-trained models from AWS Marketplace for extracting metadata for a sample use-case of auto-insurance claim processing.
- Using models for identifying non-compliance at a workplace provides a detailed walkthrough on how to use pre-trained models from AWS Marketplace for extracting metadata for a sample use-case of generating summary reports for identifying non-compliance at a construction/industrial workplace.
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- Using data and algorithm from AWS Marketplace for training a model provides a detailed walkthrough on how to use data from AWS Marketplace for training a model that predicts popularity of a bath product.
What do I need in order to get started?
- The quickest setup to run example notebooks includes:
- An AWS account
- Proper IAM User and Role setup
- An Amazon SageMaker Notebook Instance
- An S3 bucket
- AWS Marketplace Subscription to the algorithm/model you wish to use.