Mercurial > repos > ebi-gxa > scpred_train_model
view scpred_train_model.xml @ 6:b3c543769af9 draft
"planemo upload for repository https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary/ commit e2e8344bd707659bcb2bdfcfdda648179884bd53"
author | ebi-gxa |
---|---|
date | Fri, 14 Aug 2020 11:06:23 -0400 |
parents | 33fa4949e080 |
children | a7269f8f45aa |
line wrap: on
line source
<tool id="scpred_train_model" name="Scpred train" version="@TOOL_VERSION@+galaxy0" profile="@PROFILE@"> <description>Train classification model</description> <macros> <import>scpred_macros.xml</import> </macros> <expand macro="requirements" /> <command detect_errors="exit_code"><![CDATA[ scpred_train_model.R --input-object "${input_object}" --model "${model}" --output-path "${output_obj_path}" --train-probs-plot "${train_probs_plot}" #if $train_id --train-id '${train_id}' #end if ]]></command> <inputs> <param type="data" name="input_object" label="Input SCE object" format="rdata" help="Input SCE object in .rds format"/> <param type="text" name="train_id" optional="true" label="Dataset ID" help="ID of the training dataset" /> <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" /> </inputs> <outputs> <data name="output_obj_path" format="rdata" /> <data name="train_probs_plot" format="png" /> </outputs> <tests> <test> <param name="input_object" value="scPred_feat_space.rds" /> <output name="output_obj_path" file="scPred_trained.rds" compare="sim_size" /> </test> </tests> <help><![CDATA[ @HELP@ @VERSION_HISTORY@ ]]></help> <expand macro="citations" /> </tool>