Mercurial > repos > ecology > vigiechiro_idcorrect_2ndlayer
comparison IdCorrect_2ndLayer_en.xml @ 1:f3fc8d243b1a draft default tip
planemo upload for repository https://github.com/galaxyecology/tools-ecology/tools/vigiechiro commit 7ef0e58cbcbf41088e359f00b6c86504c773c271
author | ecology |
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date | Fri, 26 Apr 2019 12:20:52 -0400 |
parents | 6681b6ba1d7e |
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0:6681b6ba1d7e | 1:f3fc8d243b1a |
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1 <tool id="vigiechiro_idcorrect_2ndlayer" name="Tadarida data cleaner" version="@VERSION@"> | |
2 <description>clean data from animal detection on acoustic recordings</description> | |
3 <macros> | |
4 <import>vigiechiro_macros.xml</import> | |
5 </macros> | |
6 <requirements> | |
7 <requirement type="package" version="1.10.4">r-data.table</requirement> | |
8 <requirement type="package" version="4.6_12">r-randomforest</requirement> | |
9 </requirements> | |
10 <command detect_errors="exit_code"><![CDATA[ | |
11 Rscript | |
12 '$__tool_directory__/IdCorrect_2ndLayer.R' '$participation_file' | |
13 | |
14 #if $learner.condi_learner == "custom" | |
15 '$learner.user_learner' | |
16 #else | |
17 '$__tool_directory__/ClassifEspC2b_180222.learner' | |
18 #end if | |
19 '${participation_file.name}' | |
20 '$output' | |
21 ]]> | |
22 </command> | |
23 <inputs> | |
24 <param name="participation_file" type="data" format="csv" label="Participation file" help="Summary table of TadaridaC"/> | |
25 <param name="learner" type="data" label="Choose your leaner" format="rdata"/> | |
26 <conditional name="learner"> | |
27 <param name="condi_learner" type="select" label="Select a classifier" help="Default is ClassifEspC2b_180222"> | |
28 <option value="c18">ClassifEspC2b_180222</option> | |
29 <option value="custom">Custom Classifier</option> | |
30 </param> | |
31 <when value="c18"> | |
32 </when> | |
33 <when value="custom"> | |
34 <param name="user_learner" type="data" label="Choose your classifier" format="rdata"/> | |
35 </when> | |
36 </conditional> | |
37 </inputs> | |
38 <outputs> | |
39 <data name="output" from_work_dir="output.tabular" format="tabular"/> | |
40 </outputs> | |
41 <tests> | |
42 <test> | |
43 <param name="participation_file" value="IdCor2Layer_Test1_obs.csv"/> | |
44 <param name="condi_learner" value="default_learner"/> | |
45 <output name="output" file="IdCor2Layer_Test1_out.tabular"/> | |
46 </test> | |
47 </tests> | |
48 <help><![CDATA[ | |
49 | |
50 .. class:: infomark | |
51 | |
52 ========================== | |
53 Tadarida data cleaner | |
54 ========================== | |
55 | |
56 **What it does** | |
57 | |
58 This tool intends to correct ids from 1st layer of Tadarida software, and improves data output according to context (= the whole output of a sampling session). | |
59 | |
60 **Arguments** | |
61 | |
62 It should be called with 2 consecutive arguments : | |
63 | |
64 - a summary table of TadaridaC output from vigiechiro.herokuapp.com web portal. | |
65 - the 2nd layer classifier built on validated id in Vigie-Chiro database (eg : "ClassifEspC2b_180222.learner") | |
66 ]]></help> | |
67 <expand macro="vigiechiro_bibref" /> | |
68 </tool> |