handbook/docs/beyond_basics/_examples/DL-101-168-178

$ datalad rerun --branch="randomforest" -m "Recompute classification with random forest classifier" ready-for-analysis..SGD
[INFO] checkout commit 1b3b757;
[INFO] run commit 88a6e86; (Train an SGD clas...)
unlock(ok): model/model.joblib (file)
[INFO] == Command start (output follows) =====
[INFO] == Command exit (modification check follows) =====
run(ok): /home/me/DVCvsDL/DVC-DataLad (dataset) [python code/train.py]
add(ok): model/model.joblib (file)
save(ok): . (dataset)
[INFO] run commit 2d07713; (Evaluate SGD clas...)
[INFO] == Command start (output follows) =====
[INFO] == Command exit (modification check follows) =====
run(ok): /home/me/DVCvsDL/DVC-DataLad (dataset) [python code/evaluate.py]
add(ok): code/__pycache__/train.cpython-38.pyc (file)
add(ok): metrics/accuracy.json (file)
save(ok): . (dataset)
action summary:
  add (ok: 3)
  get (notneeded: 3)
  run (ok: 2)
  save (ok: 2)
  unlock (notneeded: 2, ok: 1)