Block 18 — Professional pipelines
Objective : establish the mechanical reason a sampler cannot be a step in
sklearn.pipeline.Pipelineand show with real tracebacks what happens when one is placed there anyway; price the fiction produced by resampling before splitting; build the correct object graph and tune the sampler jointly with the model; document every form ofsampling_strategyand separate the cleaning samplers from the resamplers; instrumentcross_val_scoreand prove the sampler never reached the validation fold; expose the hazards specific to grouped and time-ordered data; measure and repair the prior shift resampling causes; re-measure the sampler-free alternatives in pipeline form; and close with a reference construction and an audit.
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