aws / sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Date Created 2019-05-20 (5 years ago)

Commits 178 (last one 29 days ago)

Stargazers 134 (0 this week)

Watchers 28 (0 this week)

Forks 83

License apache-2.0

Ranking

RepositoryStats indexes 635,689 repositories, of these aws/sagemaker-xgboost-container is ranked #251,591 (60th percentile) for total stargazers, and #77,576 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #46,982/130,103.

aws/sagemaker-xgboost-container is also tagged with popular topics, for these it's ranked: python (#11,327/23516), machine-learning (#4,253/8439), aws (#1,176/2614), inference (#195/332), training (#110/226)

Other Information

aws/sagemaker-xgboost-container has 26 open pull requests on Github, 263 pull requests have been merged over the lifetime of the repository.

There have been 6 releases, the latest one was published on 2023-03-06 (2 years ago) with the name SageMaker XGBoost-1.7, container version 1.

All Topics

aws gbm python xgboost training inference sagemaker machine-learning distributed-training

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

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updated: 2025-03-29 @ 03:18am, id: 187721865 / R_kgDOCzBoiQ