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comparison PDAUG_AddClassLabel/PDAUG_AddClassLabel.xml @ 0:2df11ea23f10 draft

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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
author jay
date Wed, 28 Oct 2020 02:36:27 +0000
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1 <tool id="pdaug_addclasslabel" name="PDAUG Add Class Label" version="0.1.0">
2 <description> Add class label to the training data set</description>
3
4 <requirements>
5 <requirement type="package" version="2.7.18">python</requirement>
6 <requirement type="package" version="0.24.2">pandas</requirement>
7 </requirements>
8
9
10 <stdio>
11 <exit_code range="1" level="fatal" />
12 </stdio>
13
14 <command detect_errors="exit_code"><![CDATA[
15 python '$__tool_directory__/PDAUG_AddClassLabel.py' -I '$input1' -C '$ClassLabel' -O '$OutFile1' -t '$ClassLabelTitle'
16 ]]></command>
17
18 <inputs>
19 <param name="input1" type="data" label="Input file" format="tabular" multiple="true" argument= "--InFile" help="Input tabular data file."/>
20 <param name="ClassLabel" type='text' label="Class Label" value="0" argument="--ClassLabel" help="Class Label ex. 0 or 1"/>
21 <param name="ClassLabelTitle" label="Class Label Title" type='text' value="Class_label" argument="--ClassLabelTitle" help="Name of the Column."/>
22 </inputs>
23
24 <outputs>
25 <data name='OutFile1' format='tabular' label="${tool.name} on $on_string - (tabular)" />
26 </outputs>
27
28 <tests>
29 <test>
30 <param name="input1" value="new.tsv"/>
31 <output name="OutFile1" file="out.tsv"/>
32 </test>
33 </tests>
34
35 <help><![CDATA[
36 .. class:: infomark
37
38 **What it does**
39
40 This tool adds class labels to a dataframe.
41
42 -----
43
44 **Inputs**
45 * **--InFile** Takes input as Tabular data file.
46 * **--ClassLabel** Class label.
47 * **--ClassLLabelTitle** Column name of class label.
48
49 -----
50
51 **Outputs**
52 * **--OutFile** Returns a tabular file with the class labels.]]></help>
53
54
55 <citations>
56 <citation type="bibtex">
57
58 @misc{PDAUGGITHUB,
59 author = {Joshi, Jayadev and Blankenberg, Daniel},
60 year = {2020},
61 title ={PDAUG - a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling},
62 publisher = {GitHub},
63 journal = {GitHub repository},
64 url =
65 {https://github.com/jaidevjoshi83/pdaug.git},
66
67 }</citation>
68 </citations>
69
70 </tool>
71