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

"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"

0:2df11ea23f10

<tool id="pdaug_addclasslabel" name="PDAUG Add Class Label" version="0.1.0">
  <description> Add class label to the training data set</description>

  <requirements>
    <requirement type="package" version="2.7.18">python</requirement>
    <requirement type="package" version="0.24.2">pandas</requirement>
  </requirements>


  <stdio>
    <exit_code range="1" level="fatal" />
  </stdio>

    <command detect_errors="exit_code"><![CDATA[
        python '$__tool_directory__/PDAUG_AddClassLabel.py' -I '$input1' -C '$ClassLabel' -O '$OutFile1' -t '$ClassLabelTitle'
    ]]></command>

  <inputs>
    <param name="input1" type="data" label="Input file" format="tabular"  multiple="true" argument= "--InFile" help="Input tabular data file."/>
    <param name="ClassLabel" type='text' label="Class Label" value="0" argument="--ClassLabel" help="Class Label ex. 0 or 1"/>
    <param name="ClassLabelTitle" label="Class Label Title"  type='text' value="Class_label" argument="--ClassLabelTitle" help="Name of the Column."/>
  </inputs>

  <outputs>
    <data name='OutFile1' format='tabular' label="${tool.name} on $on_string - (tabular)" />
  </outputs>

  <tests>
    <test>
      <param name="input1" value="new.tsv"/>
      <output name="OutFile1" file="out.tsv"/>
    </test>
  </tests>

    <help><![CDATA[
.. class:: infomark

**What it does**

This tool adds class labels to a dataframe.

-----

**Inputs**
    * **--InFile** Takes input as Tabular data file.
    * **--ClassLabel** Class label. 
    * **--ClassLLabelTitle** Column name of class label. 

-----

**Outputs**
    * **--OutFile** Returns a tabular file with the class labels.]]></help>


<citations>
  <citation type="bibtex">

  @misc{PDAUGGITHUB, 
    author = {Joshi, Jayadev  and Blankenberg, Daniel}, 
    year = {2020}, 
    title ={PDAUG - a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling}, 
    publisher = {GitHub}, 
    journal = {GitHub repository}, 
    url =
    {https://github.com/jaidevjoshi83/pdaug.git}, 

}</citation>
</citations>

</tool>