Notebooks for R wrappers

描述

贡献者指南

技术栈

scalar

领域

documentationmachine learning

议题类型

documentation

难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。

2

预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。

1-3 hours

活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。

stale

清晰度议题是否清楚说明期望改动、验收标准和下一步。

needs investigation

前置要求

basic R knowledgefamiliarity with SynapseML

新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。

40

研究方向

The issue requests notebooks demonstrating R code for R wrappers in SynapseML. Since the repo is primarily Scala (language), the R wrappers need to be identified first. Look for any existing R bindings or wrapper code in the repository. The issue is old (2017) and assigned, but no linked PRs or comments. The first step is to check if there are any recent discussions or updates on the R wrappers. If not, the scope needs clarification: which functionality should be demonstrated? Perhaps start by listing common operations (e.g., data loading, model training) and create a notebook structure. The notebook should run in a Spark environment with R support.