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For performance reasons, we might need to distinguish between cleaning/ preprocessing steps, independent of the dataset, and training steps which need to be repeated every time.
scikit-learn provides a good implementation of a cross-validation scheme.
For pipelines producing metrics as their last step and including a train-test-split, we want to get cross-validated metrics.
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