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Answer: If the pipeline contains estimators or transformers, like StringIndexer
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