Automate parity tests between scikit-learn and MLeap transformers

描述

此议题没有描述。

贡献者指南

技术栈

pythonscala

领域

testingmachine learning

议题类型

test

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。

3

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 Scala knowledgeFamiliarity with scikit learnUnderstanding of MLeap

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

Investigate the existing test infrastructure in the MLeap repository (e.g., 'mleap core/src/test') to understand how tests are structured. Then design a script or test suite that compares the output of scikit learn transformers with MLeap transformers for a set of common transformations. Consider using a CI tool like GitHub Actions to run the parity tests automatically. Refer to any prior discussions or linked PRs that may provide context.