Mercurial > repos > ebi-gxa > scpred_train_model

comparison scpred_train_model.xml @ 3:ba53e46a4275 draft

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"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit 2f718294665c9d01702ad765904972f463154cd6"
author ebi-gxa
date Fri, 01 May 2020 10:14:08 -0400
parents 46c2b1454118
children 03d1ed93e523
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2:46c2b1454118 3:ba53e46a4275
1 <tool id="scpred_train_model" name="Scpred train" version="@TOOL_VERSION@+galaxy1" profile="@PROFILE@"> 1 <tool id="scpred_train_model" name="Scpred train" version="@TOOL_VERSION@+galaxy2" profile="@PROFILE@">
2 <description>Train classification model</description> 2 <description>Train classification model</description>
3 <macros> 3 <macros>
4 <import>scpred_macros.xml</import> 4 <import>scpred_macros.xml</import>
5 </macros> 5 </macros>
6 <expand macro="requirements" /> 6 <expand macro="requirements" />
10 --train-id '${train_id}' 10 --train-id '${train_id}'
11 #end if 11 #end if
12 ]]></command> 12 ]]></command>
13 <inputs> 13 <inputs>
14 <param type="data" name="input_object" label="Input SCE object" format="rdata" help="Input SCE object in .rds format"/> 14 <param type="data" name="input_object" label="Input SCE object" format="rdata" help="Input SCE object in .rds format"/>
15 <param type="text" name="train_id" label="Dataset ID" help="ID of the training dataset" /> 15 <param type="text" name="train_id" optional="true" label="Dataset ID" help="ID of the training dataset" />
16 <param type="text" name="model" label="Model type to train" value="svmRadial" help="Model type used for training. Must be one of the models supported by Caret package. Default: svmRadial" /> 16 <param type="text" name="model" label="Model type to train" value="svmRadial" help="Model type used for training. Must be one of the models supported by Caret package. Default: svmRadial" />
17 </inputs> 17 </inputs>
18 <outputs> 18 <outputs>
19 <data name="output_obj_path" format="rdata" /> 19 <data name="output_obj_path" format="rdata" />
20 <data name="train_probs_plot" format="png" /> 20 <data name="train_probs_plot" format="png" />