Mercurial > repos > mnhn65mo > vigiechiro
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author | mnhn65mo |
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date | Mon, 06 Aug 2018 09:13:29 -0400 |
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<tool id="IdCorrect_2ndLayer" name="Tadarida data cleaner" version="0.1"> <description>clean data from animal detection on acoustic recordings</description> <requirements> <requirement type="package" version="1.10.4">r-data.table</requirement> <requirement type="package" version="4.6_12">r-randomforest</requirement> </requirements> <command detect_errors="exit_code"><![CDATA[ Rscript '$__tool_directory__/IdCorrect_2ndLayer.R' '$participation_file' #if $learner.condi_learner == "custom": '$learner.user_learner' #else '$__tool_directory__/ClassifEspC2b_180222.learner' #end if '${participation_file.name}' '$output' ]]> </command> <inputs> <param name="participation_file" type="data" format="csv" label="Participation file"/> <param name="learner" type="data" label="Choose your leaner" format="rdata"/> <conditional name="learner"> <param name="condi_learner" type="select" label="Select a classifier" help="Default is ClassifEspC2b_180222"> <option value="c18">ClassifEspC2b_180222</option> <option value="custom">Custom Classifier</option> </param> <when value="c18"> </when> <when value="custom"> <param name="user_learner" type="data" label="Choose your classifier" format="rdata"/> </when> </conditional> </inputs> <outputs> <data name="output" from_work_dir="output.tabular" format="tabular"/> </outputs> <tests> <test> <param name="participation_file" value="IdCor2Layer_Test1_obs.csv"/> <param name="condi_learner" value="default_learner"/> <output name="output" file="IdCor2Layer_Test1_out.tabular"/> </test> <test> <param name="participation_file" value="IdCor2Layer_Test1_obs.csv"/> <param name="condi_learner" value="custom_learner"/> <param name="user_learner" value="ClassifEspC2b_171206.learner"/> <output name="output" file="IdCor2Layer_Test1_out.tabular"/> </test> </tests> <help><![CDATA[ .. class:: infomark ========================== Tadarida data cleaner ========================== **What it does** This tool intend to correct ids from 1st layer of Tadarida software, and improve data output according to context (= the whole output of a sampling session). **Arguments** It should be called with 2 consecutive arguments : - a summary table of TadaridaC output from vigiechiro.herokuapp.com web portal. - the 2nd layer classifier built on validated id in Vigie-Chiro database (eg : "ClassifEspC2b_180222.learner") ]]></help> <citations> <citation type="bibtex"> @article{kerbiriou2015vigie, title={Vigie-Chiro: 9 ans de suivi des tendances des esp{\`e}ces communes}, author={Kerbiriou, C and Julien, JF and Bas, Y and Marmet, J and Le Viol, I and Lorrilliere, R and Azam, C and Gasc, A and Lois, G}, journal={Symbioses, nouvelle s{\'e}rie}, number={34}, year={2015} } </citation> <citation type="bibtex"> @inproceedings{bas2013automatic, title={Automatic echolocation calls identification in Europe vs. Neotropics: more species does not mean more difficult}, author={Bas, Yves and Escallon, Antoine and Ferre, Matthieu and Haquart, Alexandre and Rufray, Vincent and Disca, Thierry and Julien, Jean-Fran{\c{c}}ois} } </citation> <citation type="bibtex"> @inproceedings{kerbiriou2010long, title={Long term trends monitoring of bats, from biodiversity indicator production to species specialization assessment}, author={Kerbiriou, C and Bas, Y and Dufr{\^e}ne, L and Robert, A and Julien, JF}, booktitle={24th Annual Meeting of the Society for Conservation Biology, Edmonton, Canada}, year={2010} } </citation> <citation type="doi">10.5334/jors.154</citation> </citations> </tool>