shinerain1/dsh-ml-workbench

Track, branch, compare and reproduce local CSV classification and regression experiments through DSH tools backed by MLflow; requires a separately installed Python backend. By default training runs as detached local worker processes that keep running after DSH exits (executionMode dsh stops them with DSH); running your own Python preprocessing or estimator code needs allowCustomCode, which is off by default; the plugin makes no network requests.