aws-samples / amazon-sagemaker-drift-detection

This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection

Date Created 2021-07-26 (3 years ago)
Commits 48 (last one about a year ago)
Stargazers 58 (0 this week)
Watchers 25 (0 this week)
Forks 33
License mit-0
Ranking

RepositoryStats indexes 589,134 repositories, of these aws-samples/amazon-sagemaker-drift-detection is ranked #421,548 (28th percentile) for total stargazers, and #88,281 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #80,206/117,584.

aws-samples/amazon-sagemaker-drift-detection is also tagged with popular topics, for these it's ranked: machine-learning (#6,234/7978)

Other Information

aws-samples/amazon-sagemaker-drift-detection has 6 open pull requests on Github, 8 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 6 closed issues.

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

8 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2024-11-25 @ 04:17am, id: 389792926 / R_kgDOFzvEng