Mercurial > repos > siwaa > wine_quality_train_eval

comparison wine_quality_train_eval.xml.essaiNOK @ 4:d490c7a4c63b draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://forgemia.inra.fr/nathalie.rousse/use/-/tree/dnn/DNN/galaxy-tools/wine_quality_train_eval commit e7c4e447552083db7eaecbdf139a7c359fe9becc-dirty
author siwaa
date Thu, 05 Dec 2024 10:12:30 +0000
parents
children
comparison
equal deleted inserted replaced
3:ce2d614cac69 4:d490c7a4c63b
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:6d159f79349e231deadb738f79bd293c1a8dadd3</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_variable name="FIDLE_DATASETS_DIR">/fidle-tp/datasets-fidle</environment_variable>
18 </environment_variables>
19 <command detect_errors="aggressive">
20 <![CDATA[
21 . /fidle-tp/fidle-env/bin/activate;
22 bash -e -c "mkdir cache_dir &&
23 mkdir mpl_dir &&
24 export TRANSFORMERS_CACHE=\$(realpath -s cache_dir) &&
25 export MPLCONFIGDIR=\$(realpath -s mpl_dir) &&
26 python3 /fidlemore/model_wine_lightning/wine_quality_train_eval.py -dataset_filepath ${dataset_csv} &&
27 cp OUTPUTS/model.ckpt ${model_ckpt} &&
28 cp OUTPUTS/norm_config.json ${norm_config_json} &&
29 cp OUTPUTS/report.json ${report_json}"
30 ]]>
31 </command>
32
33 <inputs>
34 <param name="dataset_csv" optional="true" type="data" format="csv"
35 label="File of dataset used to train and test the model (.csv)"/>
36 </inputs>
37
38 <outputs>
39 <data format="ckpt" name="model_ckpt"
40 label="model_ckpt model file (.ckpt)"/>
41 <data format="json" name="norm_config_json"
42 label="norm_config normalization configuration (.json)"/>
43 <data format="json" name="report_json" label="report (.json)"/>
44 </outputs>
45
46 <tests>
47 </tests>
48
49 <help><![CDATA[
50
51 wine_quality_train_eval.xml
52
53 ===========================
54
55 Code:
56
57 ----
58
59 - wine_quality_train_eval.py
60
61 Inputs:
62
63 -------
64
65 - dataset file (.csv) :
66
67 File containing dataset used to train and test the model.
68
69 The dataset will be splitted in 2 parts (training part, validation part).
70
71 If not given, an embedded default file used.
72
73 Outputs:
74
75 --------
76
77 - Model file (.ckpt)
78
79 - Normalization configuration file (.json)
80
81 - Report file (.json)
82
83 Credits:
84
85 --------
86
87 - Author: Nathalie Rousse nathalie.rousse@inrae.fr
88 - Copyright: INRAE
89
90 ]]>
91 </help>
92
93 </tool>