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Do sklearn Pipelines automatically split big datasets in chunks for the transform method?

Each transformer in the pipe has a transform method. It seems as sklearn by default pushes all X_train into the transform method. Is there a built-in function to apply the transformers batchwise?

X = pipe[0].transform(X_train )

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