Feature/sample weight support#17
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…peline Thread optional per-sample weights through Experiment.run() → _cross_validate() → fit_and_score_fold() → fit_estimator(). Only the training-fold slice reaches the classifier; test samples are never weighted. Routing uses inspect.signature so classifiers that don't expose sample_weight in their fit() signature are silently skipped rather than raising. Tests verify: weight forwarding, None passthrough, unsupported-clf safety, train-only slicing, and length-mismatch validation.
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