Mercurial > repos > siwaa > wine_quality_train_eval

annotate wine_quality_train_eval.xml @ 0:202391eebeb6 draft

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planemo upload for repository https://forgemia.inra.fr/nathalie.rousse/use/-/tree/dnn/DNN/galaxy-tools/wine_quality_train_eval commit e7c4e447552083db7eaecbdf139a7c359fe9becc
author siwaa
date Wed, 04 Dec 2024 15:24:43 +0000
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202391eebeb6 planemo upload for repository https://forgemia.inra.fr/nathalie.rousse/use/-/tree/dnn/DNN/galaxy-tools/wine_quality_train_eval commit e7c4e447552083db7eaecbdf139a7c359fe9becc
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1 <tool id="wine_quality_train_eval" name="wine_quality_train_eval"
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2 version="1.0.0">
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4 <description>wine_quality_train_eval</description>
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6 <requirements>
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8 <!-- singularity -->
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9 <container type="singularity">oras://registry.forgemia.inra.fr/nathalie.rousse/use/dnn_fidlemore:6d159f79349e231deadb738f79bd293c1a8dadd3</container>
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11 <!-- image locale
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12 <container type="singularity">/home/nrousse/workspace_git/SIWAA_regroup/USE_branch_dnn/use/DNN/containers/fidlemore.simg</container -->
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14 </requirements>
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16 <environment_variables>
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17 <environment_variable name="FIDLE_DATASETS_DIR">/fidle-tp/datasets-fidle</environment_variable>
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18 </environment_variables>
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19 <command detect_errors="aggressive">
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20 <![CDATA[
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21 . /fidle-tp/fidle-env/bin/activate;
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22 /bin/bash -c "python3 /fidlemore/model_wine_lightning/wine_quality_train_eval.py -dataset_filepath ${dataset_csv}";
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23 cp OUTPUTS/model.ckpt ${model_ckpt};
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24 cp OUTPUTS/norm_config.json ${norm_config_json};
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25 cp OUTPUTS/report.json ${report_json};
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26 ]]>
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27 </command>
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29 <inputs>
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30 <param name="dataset_csv" optional="true" type="data" format="csv"
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31 label="File of dataset used to train and test the model (.csv)"/>
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32 </inputs>
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34 <outputs>
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35 <data format="ckpt" name="model_ckpt"
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36 label="model_ckpt model file (.ckpt)"/>
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37 <data format="json" name="norm_config_json"
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38 label="norm_config normalization configuration (.json)"/>
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39 <data format="json" name="report_json" label="report (.json)"/>
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40 </outputs>
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42 <tests>
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43 </tests>
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45 <help><![CDATA[
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47 wine_quality_train_eval.xml
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49 ===========================
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51 Code:
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53 ----
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55 - wine_quality_train_eval.py
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57 Inputs:
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59 -------
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61 - dataset file (.csv) :
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63 File containing dataset used to train and test the model.
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65 The dataset will be splitted in 2 parts (training part, validation part).
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67 If not given, an embedded default file used.
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69 Outputs:
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71 --------
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73 - Model file (.ckpt)
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75 - Normalization configuration file (.json)
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77 - Report file (.json)
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79 Credits:
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81 --------
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83 - Author: Nathalie Rousse nathalie.rousse@inrae.fr
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84 - Copyright: INRAE
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86 ]]>
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87 </help>
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89 </tool>