Mercurial > repos > siwaa > wine_quality_predict

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planemo upload for repository https://forgemia.inra.fr/nathalie.rousse/use/-/tree/dnn/DNN/galaxy-tools/wine_quality_predict commit 293e7a2e4cc40479ce83dca0168d17b314f9b607
author siwaa
date Mon, 09 Dec 2024 11:26:23 +0000
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1 <tool id="wine_quality_predict" name="wine_quality_predict" version="1.0.0">
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3 <description>wine_quality_predict</description>
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5 <requirements>
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7 <!-- singularity -->
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8 <container type="singularity">oras://registry.forgemia.inra.fr/nathalie.rousse/use/dnn_fidlemore:6d159f79349e231deadb738f79bd293c1a8dadd3</container>
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10 <!-- image locale
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11 <container type="singularity">/home/nrousse/workspace_git/SIWAA_regroup/USE_branch_dnn/use/DNN/containers/fidlemore.simg</container -->
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13 </requirements>
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15 <environment_variables>
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16 <environment_variable name="FIDLE_DATASETS_DIR">/fidle-tp/datasets-fidle</environment_variable>
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17 </environment_variables>
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18 <command detect_errors="aggressive">
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19 <![CDATA[
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20 . /fidle-tp/fidle-env/bin/activate;
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21 mkdir /fidle-tp/fidle-env/cache_dir; export TRANSFORMERS_CACHE=/fidle-tp/fidle-env/cache_dir;
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22 mkdir /fidle-tp/fidle-env/mpl_dir; export MPLCONFIGDIR=/fidle-tp/fidle-env/mpl_dir;
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23 /bin/bash -c "python3 /fidlemore/model_wine_lightning/wine_quality_predict.py -model_ckpt_filepath ${model_ckpt} -norm_config_json_filepath ${norm_config_json} -data_json_filepath ${data_json}";
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24 cp OUTPUTS/report.json ${report_json};
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25 ]]>
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26 </command>
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28 <inputs>
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29 <param name="data_json" optional="false" type="data" format="json"
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30 label="File of data of wine whose quality to be predicted (.json)"/>
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31 <param name="model_ckpt" optional="false" type="data" format="ckpt"
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32 label="model_ckpt model file (.ckpt)"/>
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33 <param name="norm_config_json" optional="false" type="data" format="json"
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34 label="norm_config normalization configuration (.json)"/>
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35 </inputs>
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37 <outputs>
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38 <data format="json" name="report_json" label="report (.json)"/>
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39 </outputs>
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41 <tests>
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42 </tests>
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44 <help><![CDATA[
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46 wine_quality_predict.xml
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48 ===========================
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50 Code:
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52 ----
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54 - wine_quality_predict.py
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56 Inputs:
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58 -------
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60 - data file (.json) :
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61 File containing data of wine for which quality is going to be predicted.
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63 - Model file (.ckpt)
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65 - Normalization configuration file (.json)
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67 Outputs:
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69 --------
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71 - Report file (.json)
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73 Credits:
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75 --------
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77 - Author: Nathalie Rousse nathalie.rousse@inrae.fr
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78 - Copyright: INRAE
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80 ]]>
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81 </help>
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83 </tool>