aws / sagemaker-sparkml-serving-container

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

Date Created 2018-09-26 (6 years ago)

Commits 67 (last one about a year ago)

Stargazers 53 (0 this week)

Watchers 43 (0 this week)

Forks 24

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these aws/sagemaker-sparkml-serving-container is ranked #451,650 (24th percentile) for total stargazers, and #49,514 for total watchers. Github reports the primary language for this repository as Java, for repositories using this language it is ranked #23,665/28,578.

aws/sagemaker-sparkml-serving-container is also tagged with popular topics, for these it's ranked: machine-learning (#6,571/8063), spark (#465/540), pipeline (#360/442), inference (#243/309)

Other Information

aws/sagemaker-sparkml-serving-container has 12 open pull requests on Github, 17 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 8 open issues and 0 closed issues.

There have been 1 release, the latest one was published on 2022-10-11 (2 years ago) with the name v2.4.

All Topics

mleap spark serving sparkml pipeline inference sagemaker machine-learning inference-pipeline mleap-serialized-spark

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26 commits on the default branch (master) since jan '22

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

updated: 2024-12-10 @ 01:56am, id: 150456120 / R_kgDOCPfHOA