aws / aws/sagemaker-python-sdk
Contribute example with Sagemaker SDK v3
- 主要语言
- Python
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- 2.3k
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- 1.3k
- 平均合并
- 1 天 22 小时
- 30 天内合并 PR
- 35
描述
**Describe the feature you'd like**
Recently, the SDK has been upgraded to V3, and it still lack of hand-on example with a customized algorithm container (scikit-learn, jax,...) along with old dependencies ([sagemaker training toolkit](https://github.com/aws/sagemaker-training-toolkit/tree/master)). I've worked on a company project on using Sagemaker SDK v3 recently, and want to contribute my implementation as an example to Sagemaker SDK documentation.
**How would this feature be used? Please describe.**
This example would enhance user experience with Sagemaker SDK v3
**Describe alternatives you've considered**
The example will use 2 principles,
- Bring your own container, customize the algorithm
- Pipeline declaration(runtime, control logic) and dataflow within pipeline (Property file, S3)
贡献指南
调研方向
该 issue 未指定任何 repository 文件、测试或示例入口点;先定位 SageMaker SDK v3 文档示例,并检查链接的 sagemaker-training-toolkit。明确自定义算法容器和 pipeline 数据流的范围,然后验证该示例涵盖自带容器的使用,并能按文档所述运行。
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评估
- 技术栈
- aws, python, scikit-learn
- 领域
- cloud, documentation, machine-learning
- Issue 类型
- 功能
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 35/100