ML experiment workflow from problem formulation through reproducible handoff. Use for model experiments, metric definition, council signoff, data pipeline, EDA, tracking/logging, hypothesis generation, baseline, training, validation, artifacts. Enforces locked metrics, leakage checks, experiment tra
ML experiment workflow from problem formulation through reproducible handoff. Use for model experiments, metric definition, council signoff, data pipeline, EDA, tracking/logging, hypothesis generation, baseline, training, validation, artifacts. Enforces locked metrics, leakage checks, experiment tracking, hypothesis/train/validate loop, compute caps, tried-rejected ledger, handoff, telemetry, long
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