Scikit-learn¶
Pedregosa, F. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Imputation Leakage
- The remedy is uniform across the whole catalogue of repair methods — mean, kNN, MICE, group-stratum means, forward-fill — because the diagnostic is one boundary test rather than a per-technique audit, and pipeline tooling (
Pipeline,ColumnTransformer) exists precisely to enforce it.This sourceThe scikit-learn Pipeline, which combines several transformers and an estimator into one composite estimator so that GridSearchCV tunes the parameters of all steps. The scikit-learn Pipeline, which wraps preprocessing transformers and an estimator as one composite estimator so that cross-validation refits every step on each fold.
Supported in partVerified against the work's full text
“Finally, a Pipeline object can combine several transformers and an estimator to create a combined estimator to, for example, apply dimension reduction before fitting. It behaves as a standard estimator, and GridSearchCV therefore tune the parameters of all steps.”
- The remedy is uniform across the whole catalogue of repair methods — mean, kNN, MICE, group-stratum means, forward-fill — because the diagnostic is one boundary test rather than a per-technique audit, and pipeline tooling (
Verification¶
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