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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 c595a7b4b556ab642ecf0396957f2959139dc4ab-dirty
author siwaa
date Mon, 09 Dec 2024 11:06:43 +0000
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18:8916f75916b6 19:a9b2e3ba898b
1 <tool id="wine_quality_train_eval" name="wine_quality_train_eval"
2 version="1.0.0">
3
4 <description>wine_quality_train_eval</description>
5
6 <requirements>
7
8 <!-- singularity -->
9 <container type="singularity">oras://registry.forgemia.inra.fr/nathalie.rousse/use/dnn_fidlemore:1906137478520a9f71a4d8996c0a8827f27aed16</container>
10
11 <!-- image locale
12 <container type="singularity">/home/nrousse/workspace_git/SIWAA_regroup/USE_branch_dnn/use/DNN/containers/fidlemore.simg</container -->
13
14 </requirements>
15
16 <environment_variables>
17 </environment_variables>
18 <command detect_errors="aggressive">
19 <![CDATA[
20 bash -e -c "source /fidle-tp/fidle-env/bin/activate &&
21 mkdir datasets-fidle &&
22 export FIDLE_DATASETS_DIR=\$(realpath -s datasets-fidle) &&
23 mkdir ipython_dir &&
24 export IPYTHONDIR=\$(realpath -s ipython_dir) &&
25 ipython profile create default &&
26 mkdir cache_dir &&
27 export TRANSFORMERS_CACHE=\$(realpath -s cache_dir) &&
28 mkdir mpl_dir &&
29 export MPLCONFIGDIR=\$(realpath -s mpl_dir) &&
30 python3 $__tool_directory__/toto_wine_quality_train_eval.py -dataset_filepath ${dataset_csv} &&
31 cp OUTPUTS/model.ckpt ${model_ckpt} &&
32 cp OUTPUTS/norm_config.json ${norm_config_json} &&
33 cp OUTPUTS/report.json ${report_json}"
34 ]]>
35 </command>
36
37 <inputs>
38 <param name="dataset_csv" optional="true" type="data" format="csv"
39 label="File of dataset used to train and test the model (.csv)"/>
40 </inputs>
41
42 <outputs>
43 <data format="ckpt" name="model_ckpt"
44 label="model_ckpt model file (.ckpt)"/>
45 <data format="json" name="norm_config_json"
46 label="norm_config normalization configuration (.json)"/>
47 <data format="json" name="report_json" label="report (.json)"/>
48 </outputs>
49
50 <tests>
51 </tests>
52
53 <help><![CDATA[
54
55 wine_quality_train_eval.xml
56
57 ===========================
58
59 Code:
60
61 ----
62
63 - wine_quality_train_eval.py
64
65 Inputs:
66
67 -------
68
69 - dataset file (.csv) :
70
71 File containing dataset used to train and test the model.
72
73 The dataset will be splitted in 2 parts (training part, validation part).
74
75 If not given, an embedded default file used.
76
77 Outputs:
78
79 --------
80
81 - Model file (.ckpt)
82
83 - Normalization configuration file (.json)
84
85 - Report file (.json)
86
87 Credits:
88
89 --------
90
91 - Author: Nathalie Rousse nathalie.rousse@inrae.fr
92 - Copyright: INRAE
93
94 ]]>
95 </help>
96
97 </tool>