comparison PTModel.xml @ 7:88bd406e3b22 draft

planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/openms commit f608f41d45664d04d3124c6ebc791bf8a566b3c5-dirty

6:03178f52c6cc

    <import>macros.xml</import>
  </macros>
  <expand macro="references"/>
  <expand macro="stdio"/>
  <expand macro="requirements"/>
  <command>PTModel

#if $param_in_positive:
  -in_positive $param_in_positive
#end if
#if $param_in_negative:

#if $adv_opts.adv_opts_selector=='advanced':
    #if $adv_opts.param_force:
  -force
#end if
#end if
</command>
  <inputs>
    <param name="param_in_positive" type="data" format="idxml" optional="False" label="input file with positive examples" help="(-in_positive) "/>
    <param name="param_in_negative" type="data" format="idxml" optional="False" label="input file with negative examples" help="(-in_negative) "/>
    <param name="param_c" type="float" value="1.0" label="the penalty parameter of the svm" help="(-c) "/>
    <param name="param_svm_type" display="radio" type="select" optional="False" value="C_SVC" label="the type of the svm (NU_SVC or C_SVC)" help="(-svm_type) ">

    <data name="param_out" format="txt"/>
  </outputs>
  <help>Trains a model for the prediction of proteotypic peptides from a training set.


For more information, visit http://ftp.mi.fu-berlin.de/OpenMS/release-documentation/html/TOPP_PTModel.html</help>
</tool>

7:88bd406e3b22

    <import>macros.xml</import>
  </macros>
  <expand macro="references"/>
  <expand macro="stdio"/>
  <expand macro="requirements"/>
  <command detect_errors="aggressive"><![CDATA[PTModel

#if $param_in_positive:
  -in_positive $param_in_positive
#end if
#if $param_in_negative:

#if $adv_opts.adv_opts_selector=='advanced':
    #if $adv_opts.param_force:
  -force
#end if
#end if
]]></command>
  <inputs>
    <param name="param_in_positive" type="data" format="idxml" optional="False" label="input file with positive examples" help="(-in_positive) "/>
    <param name="param_in_negative" type="data" format="idxml" optional="False" label="input file with negative examples" help="(-in_negative) "/>
    <param name="param_c" type="float" value="1.0" label="the penalty parameter of the svm" help="(-c) "/>
    <param name="param_svm_type" display="radio" type="select" optional="False" value="C_SVC" label="the type of the svm (NU_SVC or C_SVC)" help="(-svm_type) ">

    <data name="param_out" format="txt"/>
  </outputs>
  <help>Trains a model for the prediction of proteotypic peptides from a training set.


For more information, visit https://abibuilder.informatik.uni-tuebingen.de/archive/openms/Documentation/release/2.3.0/html/TOPP_PTModel.html</help>
</tool>