Explanation:
Incorporating the CrossValidator inside the Pipeline is optimal when the pipeline includes estimators or transformers. This method ensures that the estimator is refitted with each cross-validation fold, enhancing efficiency and facilitating parallel model training.
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When is it advisable to include the CrossValidator within a Pipeline?
A
To enable parallel training of models
B
If the pipeline contains estimators or transformers, like StringIndexer
C
In none of the mentioned scenarios
D
To prevent data leakage from preceding pipeline steps
E
When the pipeline requires refitting