datalad-handbook/docs/beyond_basics/_examples/DL-101-168-178
2025-03-13 08:20:26 +01:00

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$ datalad rerun --branch="randomforest" -m "Recompute classification with random forest classifier" ready-for-analysis..SGD
[INFO] checkout commit c4e30d5;
[INFO] run commit 4759bf7; (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 8a9a2a0; (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)