使用转换器(estimator)来转换 sklearn.pipeline 中的目标标签 [英] Using a transformer (estimator) to transform the target labels in sklearn.pipeline

问题描述

据我所知，可以链接多个估计器，这些估计器实现了转换方法以转换 sklearn.pipeline 中的 X(特征集).但是，我有一个用例，我还想转换目标标签(例如将标签转换为 [1...K] 而不是 [0, K-1]，我很乐意将其作为管道中的一个组件来执行). 是否有可能使用 sklearn.pipeline.

I understand that one can chain several estimators that implement the transform method to transform X (the feature set) in sklearn.pipeline. However I have a use case where I would like also transform the target labels (like transform the labels to [1...K] instead of [0, K-1] and I would love to do that as a component in my pipeline. Is it possible to that at all using the sklearn.pipeline.?

推荐答案

不，管道将始终通过 y 不变.在管道外进行转换.

No, pipelines will always pass y through unchanged. Do the transformation outside the pipeline.

(这是 scikit-learn 中的一个已知设计缺陷，但它从来没有足够紧迫地改变或扩展 API.)

(This is a known design flaw in scikit-learn, but it's never been pressing enough to change or extend the API.)

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