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:1906137478520a9f71a4d8996c0a8827f27aed16</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_variables>
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17 <command detect_errors="aggressive">
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18 <![CDATA[
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20 bash -e -c "source /fidle-tp/fidle-env/bin/activate &&
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21 mkdir datasets-fidle &&
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22 export FIDLE_DATASETS_DIR=\$(realpath -s datasets-fidle) &&
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23 mkdir ipython_dir &&
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24 export IPYTHONDIR=\$(realpath -s ipython_dir) &&
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25 ipython profile create default &&
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26 mkdir cache_dir &&
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27 export TRANSFORMERS_CACHE=\$(realpath -s cache_dir) &&
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28 mkdir mpl_dir &&
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29 export MPLCONFIGDIR=\$(realpath -s mpl_dir) &&
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30 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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31 cp OUTPUTS/report.json ${report_json}"
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32 ]]>
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33 </command>
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35 <inputs>
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36 <param name="data_json" optional="false" type="data" format="json"
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37 label="File of data of wine whose quality to be predicted (.json)"/>
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38 <param name="model_ckpt" optional="false" type="data" format="ckpt"
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39 label="model_ckpt model file (.ckpt)"/>
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40 <param name="norm_config_json" optional="false" type="data" format="json"
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41 label="norm_config normalization configuration (.json)"/>
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42 </inputs>
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44 <outputs>
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45 <data format="json" name="report_json" label="report (.json)"/>
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46 </outputs>
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48 <tests>
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49 </tests>
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51 <help><![CDATA[
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53 wine_quality_predict.xml
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55 ===========================
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57 Code:
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59 ----
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61 - wine_quality_predict.py
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63 Inputs:
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65 -------
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67 - data file (.json) :
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68 File containing data of wine for which quality is going to be predicted.
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70 - Model file (.ckpt)
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72 - Normalization configuration file (.json)
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74 Outputs:
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76 --------
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78 - Report file (.json)
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80 Credits:
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84 - Author: Nathalie Rousse nathalie.rousse@inrae.fr
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85 - Copyright: INRAE
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87 ]]>
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88 </help>
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90 </tool>