Notebooks for R wrappers

描述

貢獻者指南

技術棧

scalar

領域

documentationmachine learning

議題類型

documentation

難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。

2

預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。

1-3 hours

活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。

stale

清晰度議題是否清楚說明預期改動、驗收標準和下一步。

needs investigation

前置要求

basic R knowledgefamiliarity with SynapseML

新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。

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.