--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/wine_quality_train_eval.xml.VENDREDI	Mon Dec 09 11:06:43 2024 +0000
@@ -0,0 +1,97 @@
+<tool id="wine_quality_train_eval" name="wine_quality_train_eval"
+ version="1.0.0">
+
+  <description>wine_quality_train_eval</description>
+
+  <requirements>
+
+    <!-- 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 -->
+
+  </requirements>
+
+  <environment_variables>
+  </environment_variables>
+  <command detect_errors="aggressive">
+    <![CDATA[
+    bash -e -c "source /fidle-tp/fidle-env/bin/activate &&
+    mkdir datasets-fidle &&
+    export FIDLE_DATASETS_DIR=\$(realpath -s 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 &&
+    export MPLCONFIGDIR=\$(realpath -s mpl_dir) &&
+    python3 $__tool_directory__/toto_wine_quality_train_eval.py -dataset_filepath ${dataset_csv} &&
+    cp OUTPUTS/model.ckpt ${model_ckpt} &&
+    cp OUTPUTS/norm_config.json ${norm_config_json} &&
+    cp OUTPUTS/report.json ${report_json}"
+    ]]>
+  </command>
+
+  <inputs>
+    <param name="dataset_csv" optional="true" type="data" format="csv"
+           label="File of dataset used to train and test the model (.csv)"/>
+  </inputs>
+
+  <outputs>
+    <data format="ckpt" name="model_ckpt"
+          label="model_ckpt model file (.ckpt)"/>
+    <data format="json" name="norm_config_json"
+          label="norm_config normalization configuration (.json)"/>
+    <data format="json" name="report_json" label="report (.json)"/>
+  </outputs>
+
+  <tests>
+  </tests>
+
+  <help><![CDATA[
+
+wine_quality_train_eval.xml
+
+===========================
+
+Code:
+
+----
+
+- wine_quality_train_eval.py
+
+Inputs:
+
+-------
+
+- dataset file (.csv) :
+
+  File containing dataset used to train and test the model.
+
+  The dataset will be splitted in 2 parts (training part, validation part).
+  
+  If not given, an embedded default file used.
+
+Outputs:
+
+--------
+
+- Model file (.ckpt)
+
+- Normalization configuration file (.json)
+
+- Report file (.json)
+
+Credits:
+
+--------
+
+-  Author: Nathalie Rousse nathalie.rousse@inrae.fr
+-  Copyright: INRAE
+
+  ]]>
+  </help>
+
+</tool>