Notebooks for R wrappers

Description

Contributor guide

Tech stack

scalar

Domain

documentationmachine learning

Issue type

documentation

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

2

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-3 hours

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

stale

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

needs investigation

Prerequisites

basic R knowledgefamiliarity with SynapseML

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

40

Research direction

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.