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MNT: Redo all usecase examples after fixing ML usecase code snippets
1 parent 4382489 commit 746aae1

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‎docs/usecases/_examples/HCP-12‎

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$ cd dataset-to-copy-to
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$ datalad get bvals anothercopyofbvecs 130114/T1w/Diffusion/eddylogs/eddy_unwarped_images.eddy_parameters
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get(ok): anothercopyofbvecs (file) [from datalad...]
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get(ok): bvals (file) [from datalad...]
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get(ok): anothercopyofbvecs (file) [from datalad...]
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get(ok): 130114/T1w/Diffusion/eddylogs/eddy_unwarped_images.eddy_parameters (file) [from datalad...]
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action summary:
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get (ok: 3)

‎docs/usecases/_examples/HCP-2‎

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‎docs/usecases/_examples/collab-106‎

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@@ -3,9 +3,9 @@ $ datalad run -m "run first part of analysis workflow" \
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--output results.txt \
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"code/run_analysis.py"
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[INFO] Making sure inputs are available (this may take some time)
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get(ok): src/forrest_structural/sub-01/anat/sub-01_T1w.nii.gz (file) [from mddatasrc...]
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[INFO] == Command start (output follows) =====
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[INFO] == Command exit (modification check follows) =====
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get(ok): src/forrest_structural/sub-01/anat/sub-01_T1w.nii.gz (file) [from mddatasrc...]
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action summary:
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get (notneeded: 1, ok: 1)
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save (notneeded: 2)

‎docs/usecases/_examples/ml-102‎

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@@ -9,7 +9,6 @@ $ datalad download-url \
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[INFO] Initiating special remote datalad-archives
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[INFO] Finished adding /home/me/usecases/imagenette/imagenette2-160.tgz: Files processed: 13394, +annex: 13394
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download_url(ok): /home/me/usecases/imagenette/imagenette2-160.tgz (file)
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add(ok): imagenette2-160.tgz (file)
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save(ok): . (dataset)
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action summary:
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add (ok: 1)

‎docs/usecases/_examples/ml-110‎

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‎docs/usecases/_examples/ml-115‎

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@@ -9,7 +9,6 @@ $ datalad containers-run -n software \
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/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_stochastic_gradient.py:573: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
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ConvergenceWarning)
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[INFO] == Command exit (modification check follows) =====
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add(ok): model.joblib (file)
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save(ok): . (dataset)
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action summary:
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add (ok: 1)

‎docs/usecases/_examples/ml-116‎

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@@ -6,10 +6,8 @@ $ datalad containers-run -n software \
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"python3 code/evaluate.py"
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[INFO] Making sure inputs are available (this may take some time)
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[INFO] == Command start (output follows) =====
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{'accuracy': 0.7541191381495564}
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[INFO] == Command exit (modification check follows) =====
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add(ok): accuracy.json (file)
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add(ok): code/__pycache__/train.cpython-37.pyc (file)
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{'accuracy': 0.6121673003802282}
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save(ok): . (dataset)
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action summary:
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add (ok: 2)

‎docs/usecases/_examples/ml-130‎

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$ datalad rerun -m "Recompute classification with more iterations" ready4analysis..SGD-100
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[INFO] run commit 158ff67; (Train an SGD clas...)
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[INFO] run commit c081642; (Train an SGD clas...)
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[INFO] Making sure inputs are available (this may take some time)
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unlock(ok): model.joblib (file)
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[INFO] == Command start (output follows) =====
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/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_stochastic_gradient.py:573: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
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ConvergenceWarning)
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[INFO] == Command exit (modification check follows) =====
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[INFO] run commit 5ce0433; (Evaluate SGD clas...)
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add(ok): model.joblib (file)
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save(ok): . (dataset)
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[INFO] run commit c174771; (Evaluate SGD clas...)
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[INFO] Making sure inputs are available (this may take some time)
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[INFO] == Command start (output follows) =====
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{'accuracy': 0.7566539923954373}
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{'accuracy': 0.7477820025348543}
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[INFO] == Command exit (modification check follows) =====
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[INFO] skip-or-pick commit c20502b; c20502b does not have a command; skipping or cherry picking
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unlock(ok): model.joblib (file)
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add(ok): model.joblib (file)
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save(ok): . (dataset)
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add(ok): accuracy.json (file)
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add(ok): code/__pycache__/train.cpython-37.pyc (file)
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save(ok): . (dataset)
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run(ok): /home/me/usecases/ml-project (dataset) [c20502b does not have a command; skipping]
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[INFO] skip-or-pick commit c341b43; c341b43 does not have a command; skipping or cherry picking
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run(ok): /home/me/usecases/ml-project (dataset) [c341b43 does not have a command; skipping]
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action summary:
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add (ok: 3)
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get (notneeded: 8)

‎docs/usecases/_examples/ml-133‎

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$ datalad rerun --branch="randomforest" -m "Recompute classification with random forest classifier" ready4analysis..SGD-100
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[INFO] checkout commit ddc5200;
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[INFO] run commit 158ff67; (Train an SGD clas...)
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[INFO] checkout commit b92dc98;
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[INFO] run commit c081642; (Train an SGD clas...)
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[INFO] Making sure inputs are available (this may take some time)
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unlock(ok): model.joblib (file)
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[INFO] == Command start (output follows) =====
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[INFO] == Command exit (modification check follows) =====
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[INFO] run commit 5ce0433; (Evaluate SGD clas...)
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add(ok): model.joblib (file)
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save(ok): . (dataset)
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[INFO] run commit c174771; (Evaluate SGD clas...)
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[INFO] Making sure inputs are available (this may take some time)
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[INFO] == Command start (output follows) =====
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{'accuracy': 0.8098859315589354}
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{'accuracy': 0.8086185044359949}
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[INFO] == Command exit (modification check follows) =====
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[INFO] skip-or-pick commit c20502b; c20502b does not have a command; skipping or cherry picking
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unlock(ok): model.joblib (file)
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add(ok): model.joblib (file)
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save(ok): . (dataset)
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add(ok): accuracy.json (file)
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add(ok): code/__pycache__/train.cpython-37.pyc (file)
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save(ok): . (dataset)
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run(ok): /home/me/usecases/ml-project (dataset) [c20502b does not have a command; skipping]
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[INFO] skip-or-pick commit c341b43; c341b43 does not have a command; skipping or cherry picking
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run(ok): /home/me/usecases/ml-project (dataset) [c341b43 does not have a command; skipping]
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action summary:
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add (ok: 3)
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get (notneeded: 8)

‎docs/usecases/_examples/ml-134‎

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$ git diff master -- accuracy.json
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diff --git a/accuracy.json b/accuracy.json
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index 0690de4..cdf07fd 100644
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index 8e62cc5..41634f2 100644
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--- a/accuracy.json
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+++ b/accuracy.json
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@@ -1 +1 @@
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-{"accuracy": 0.7566539923954373}
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-{"accuracy": 0.7477820025348543}
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\ No newline at end of file
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+{"accuracy": 0.8098859315589354}
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+{"accuracy": 0.8086185044359949}
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\ No newline at end of file

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