Mercurial > repos > siwaa > wine_quality_train_eval
changeset 16:dd7d99707a65 draft
planemo upload for repository https://forgemia.inra.fr/nathalie.rousse/use/-/tree/dnn/DNN/galaxy-tools/wine_quality_train_eval commit 58f66f614dc32b7550ac23e52d84248ddc802863-dirty
| author | siwaa |
|---|---|
| date | Fri, 06 Dec 2024 18:33:53 +0000 |
| parents | c1d9515c9434 |
| children | e233f68fc8c6 |
| files | toto_wine_quality_train_eval.py wine_quality_train_eval.xml |
| diffstat | 2 files changed, 5 insertions(+), 12 deletions(-) [+] |
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--- a/toto_wine_quality_train_eval.py Fri Dec 06 17:57:20 2024 +0000 +++ b/toto_wine_quality_train_eval.py Fri Dec 06 18:33:53 2024 +0000 @@ -159,7 +159,7 @@ # Init Fidle environment print("\n"+HEAD, "# Init Fidle environment\n") - run_id, run_dir, datasets_dir = fidle.init('LWINE1_train_eval') + run_id, run_dir, datasets_dir = fidle.init(run_dir='LWINE1_train_eval') # Verbosity during training : # - 0 = silent
--- a/wine_quality_train_eval.xml Fri Dec 06 17:57:20 2024 +0000 +++ b/wine_quality_train_eval.xml Fri Dec 06 18:33:53 2024 +0000 @@ -5,17 +5,8 @@ <requirements> - <!-- singularity A REMETTRE (avant essais) - <container type="singularity">oras://registry.forgemia.inra.fr/nathalie.rousse/use/dnn_fidlemore:1906137478520a9f71a4d8996c0a8827f27aed16</container --> - - - - - <!-- singularity ESSAIS --> - <container type="singularity">oras://registry.forgemia.inra.fr/nathalie.rousse/use/dnn_fidlemore:ea8ac4fa4f127a69480c70e8966353df331d26ed</container> - - - + <!-- singularity --> + <container type="singularity">oras://registry.forgemia.inra.fr/nathalie.rousse/use/dnn_fidlemore:1906137478520a9f71a4d8996c0a8827f27aed16</container> <!-- image locale <container type="singularity">/home/nrousse/workspace_git/SIWAA_regroup/USE_branch_dnn/use/DNN/containers/fidlemore.simg</container --> @@ -29,7 +20,9 @@ <![CDATA[ bash -e -c "source /fidle-tp/fidle-env/bin/activate && export FIDLE_DATASETS_DIR=/fidle-tp/datasets-fidle && + mkdir ipython_dir && export IPYTHONDIR=\$(realpath -s ipython_dir) && + ipython profile create default && mkdir cache_dir && export TRANSFORMERS_CACHE=\$(realpath -s cache_dir) && mkdir mpl_dir &&