Positron 数据科学 IDE 现已支持 Amazon SageMaker AI
Run Positron on Amazon SageMaker AI for data science workflows
Positron 这款数据科学 IDE 登陆 SageMaker 了，R 和 Python 一个界面搞定，教程从 Athena 查数到部署 XGBoost 全流程带你走完。
Posit 推出的数据科学 IDE Positron 现在可以在 Amazon SageMaker AI 上运行。
AWS 的博客演示了完整流程：用 Positron 连接 Amazon Athena 表做数据探索，在 R 中验证特征，再用 Python 训练 XGBoost 模型。训练完成后可部署为 SageMaker AI 实时推理端点，并用 Quarto 生成结果报告。
全部工作都在同一个受治理的 SageMaker Studio Space 内完成，R 和 Python 用户共用一个界面。
Run Positron on Amazon SageMaker AI for data science workflows
Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an XGBoost model in Python, deploys a real-time SageMaker AI endpoint, and reports results with Quarto, all in one governed SageMaker Studio Space.
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Positron, Amazon SageMaker, R语言, XGBoost.
Primary source verification: published directly by AWS Machine Learning Blog with first-party authority.
