aws / aws/sagemaker-python-sdk

No proper API reference is generated for SageMaker SDK v3

未关闭
#5,648 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
主要语言
Python
星标
2.3k
派生
1.3k
平均合并
1 天 22 小时
30 天内合并 PR
35

描述

**What did you find confusing? Please describe.**
The customer tried to understand the structure of sagemaker.ai_registry.dataset.DataSet and clarify how to configure max context length for datasets used in RLAIF. They failed to do it as no proper API Reference is provided.

**Describe how documentation can be improved**
Please provide proper API Reference asap, otherwise people are lost in the tutorials and have no idea about fine-tuned and advanced system capabilities and configurations. It can be generated automatically from the code.
Example: https://scikit-learn.org/stable/api/index.html.

**Additional context**
Search is not working: Searching for "sagemaker.ai_registry.dataset.DataSet" did not bring any information about the DataSet constructor method and parameters.

Image

贡献指南

打开贡献指南

调研方向

首先定位 sagemaker.ai_registry.dataset.DataSet 的实现,以及 SDK 中现有的文档生成入口。将预期的 API 参考与 scikit-learn API 参考示例进行比较,然后验证通过文档搜索可以发现 DataSet 构造函数及其参数,包括最大上下文长度配置。

由索引模型根据 Issue 内容生成。

评估

技术栈
aws, python
领域
documentation, machine-learning
Issue 类型
文档
难度
4/5
预计耗时
3-5 天
活跃度
冷清
描述清晰度
基本清楚
新手友好度
48/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。