feat(validation): hyper-parameter tuning (grid/random search)#30
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Ports optimization.hyper_parameter_tuning: grid_search_cv and random_search_cv over a random-forest grid (:n_trees/:n_subfeatures/:max_depth), scored by cross_val_score under any purged/combinatorial validator. Returns best params + refit forest. Behavioural; sklearn GridSearchCV/Pipeline/f1 replaced by a functional API. No new deps.