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planemo upload for repository https://forgemia.inra.fr/nathalie.rousse/use/-/tree/dnn/DNN/galaxy-tools/wine_quality_predict commit e7c4e447552083db7eaecbdf139a7c359fe9becc
author siwaa
date Wed, 04 Dec 2024 15:25:16 +0000
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1 <tool id="wine_quality_predict" name="wine_quality_predict" version="1.0.0">
2
3 <description>wine_quality_predict</description>
4
5 <requirements>
6
7 <!-- singularity -->
8 <container type="singularity">oras://registry.forgemia.inra.fr/nathalie.rousse/use/dnn_fidlemore:6d159f79349e231deadb738f79bd293c1a8dadd3</container>
9
10 <!-- image locale
11 <container type="singularity">/home/nrousse/workspace_git/SIWAA_regroup/USE_branch_dnn/use/DNN/containers/fidlemore.simg</container -->
12
13 </requirements>
14
15 <environment_variables>
16 <environment_variable name="FIDLE_DATASETS_DIR">/fidle-tp/datasets-fidle</environment_variable>
17 </environment_variables>
18 <command detect_errors="aggressive">
19 <![CDATA[
20 . /fidle-tp/fidle-env/bin/activate;
21 /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}";
22 cp OUTPUTS/report.json ${report_json};
23 ]]>
24 </command>
25
26 <inputs>
27 <param name="data_json" optional="false" type="data" format="json"
28 label="File of data of wine whose quality to be predicted (.json)"/>
29 <param name="model_ckpt" optional="false" type="data" format="ckpt"
30 label="model_ckpt model file (.ckpt)"/>
31 <param name="norm_config_json" optional="false" type="data" format="json"
32 label="norm_config normalization configuration (.json)"/>
33 </inputs>
34
35 <outputs>
36 <data format="json" name="report_json" label="report (.json)"/>
37 </outputs>
38
39 <tests>
40 </tests>
41
42 <help><![CDATA[
43
44 wine_quality_predict.xml
45
46 ===========================
47
48 Code:
49
50 ----
51
52 - wine_quality_predict.py
53
54 Inputs:
55
56 -------
57
58 - data file (.json) :
59 File containing data of wine for which quality is going to be predicted.
60
61 - Model file (.ckpt)
62
63 - Normalization configuration file (.json)
64
65 Outputs:
66
67 --------
68
69 - Report file (.json)
70
71 Credits:
72
73 --------
74
75 - Author: Nathalie Rousse nathalie.rousse@inrae.fr
76 - Copyright: INRAE
77
78 ]]>
79 </help>
80
81 </tool>