The AWS Java SDK for Amazon SageMaker Metrics module holds the client classes that are used for communicating with Amazon SageMaker Metrics Service

LicenseApache 2.0
Tagssagemakerawsamazonsdk
HomePage https://aws.amazon.com/sdkforjava 🔍 Inspect URL
DateJun 03, 2025
Filespom (3 KB)  jar (34 KB)  View All
RepositoriesCentral
Ranking#229120 in MvnRepository (See Top Artifacts)
Used By2 artifacts

Note: There is a new version for this artifact

New Version1.12.793

Scope:
Scope:
Format:
Scope:
Scope:
Scope:
Scope:
Scope:
Scope:

Compile Dependencies (2)

Test Dependencies (1)

Category/License Group / ArtifactVersionUpdates
Testing
Apache 2.0
com.amazonaws » aws-java-sdk-test-utils 1.12.7852.38.7

Licenses

LicenseURL
Apache License, Version 2.0 https://aws.amazon.com/apache2.0

Developers

NameEmailDev IdRolesOrganization
amazonwebservicesdeveloperAmazon Web Services

Related Books

AWS SageMaker for Beginners: Cloud Machine Learning Made EasyAWS SageMaker for Beginners: Cloud Machine Learning Made Easy (2025)
by Calado, Leandro
System Design on AWS: Building and Scaling Enterprise SolutionsSystem Design on AWS: Building and Scaling Enterprise Solutions (2025)
by Kumar, Jayanth, Singh, Mandeep
Engineering Resilient Systems on AWS: Design, Build, and Test for ResilienceEngineering Resilient Systems on AWS: Design, Build, and Test for Resilience (2024)
by Schwarz, Kevin, Moran, Jennifer, Bachmeier, Nate
Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKSJava Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS (2024)
by Christudas, Binildas A.
Building and Delivering Microservices on AWS: Master software architecture patterns to develop and deliver microservices to AWS CloudBuilding and Delivering Microservices on AWS: Master software architecture patterns to develop and deliver microservices to AWS Cloud (2023)
by Singh, Amar Deep, Carpenter, Jeff
Amazon Web Services in Action, Third Edition: An in-depth guide to AWSAmazon Web Services in Action, Third Edition: An in-depth guide to AWS (2023)
by Wittig, Andreas, Wittig, Michael
Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMakerComputer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker (2023)
by Mullennex, Lauren, Bachmeier, Nate, Rao, Jay
Getting Started with Amazon SageMaker Studio: Learn to build end-to-end machine learning projects in the SageMaker machine learning IDEGetting Started with Amazon SageMaker Studio: Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE (2022)
by Hsieh, Michael
AWS Cookbook: Recipes for Success on AWSAWS Cookbook: Recipes for Success on AWS (2022)
by Culkin, John, Zazon, Mike
Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists, 2nd EditionLearn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists, 2nd Edition (2021)
by Simon, Julien
Amazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMakerAmazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker (2021)
by Muppala, Sireesha, DeFauw, Randy, Eigenbrode, Shelbee
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning PipelinesData Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines (2021)
by Fregly, Chris, Barth, Antje
Programming AWS Lambda: Build and Deploy Serverless Applications with JavaProgramming AWS Lambda: Build and Deploy Serverless Applications with Java (2020)
by Chapin, John, Roberts, Mike
Machine Learning for Business: Using Amazon SageMaker and JupyterMachine Learning for Business: Using Amazon SageMaker and Jupyter (2020)
by Doug Hudgeon, Richard Nichol
Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon RekognitionMachine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition (2019)
by Mishra, Abhishek
Learning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS CloudLearning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS Cloud (2019)
by Wilkins, Mark
Serverless Programming Cookbook: Practical solutions to building serverless applications using Java and AWSServerless Programming Cookbook: Practical solutions to building serverless applications using Java and AWS (2019)
by Kanikathottu, Heartin
Practical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWSPractical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWS (2017)
by Gulabani, Sunil