Support multiple input columns for Bucketizer and StringIndexer as with spark.

描述

贡献者指南

技术栈

scalaspark

领域

machine learning

议题类型

feature

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。

4

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。

3-5 days

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。

mostly clear

前置要求

ScalaMLeap internalsSpark ML transformersBasic ML pipeline concepts

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。

20

研究方向

Investigate how Spark implements multiple input columns for Bucketizer and StringIndexer (e.g., via inputCols parameter). Then locate the corresponding MLeap transformer implementations in the codebase, likely in the 'mleap core' module under 'transformers' package. Modify the transformer definition to accept an array of input columns and update serialization logic. Consider backward compatibility with existing single column use. Refer to existing transformers that already support multiple inputs, if any.