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1 <tool id="aacaret001" name="Prepare input file for classification model">
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2 <description>
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3 This Tool Converts Input csv File into RData Which Is Further Used for Model Building
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4 </description>
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5 <!--command interpreter="bash">step1.sh $file1 $output1 </command-->
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6 <requirements>
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7 <requirement type="set_environment">R_ROOT_DIR</requirement>
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8 <requirement type="package" version="3.2.0">R</requirement>
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9 </requirements>
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10 <command interpreter="Rscript">caret_future/tool1/csv2rdatatrain.R $file1 $RData </command>
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11 <inputs>
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12 <param format="csv" name="file1" type="data" label="Select file containing training data" help="CSV format" />
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13 </inputs>
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14 <outputs>
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15 <data format="RData" name="RData" label="Input RData" />
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16 </outputs>
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17 <help>
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18 .. class:: infomark
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19
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20 **Input "csv file" format must be as given below :**
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21
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22
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23 "",feature1,feaure2,feature3,..,activity
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24
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25
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26 cpd1,623,0.4,3.4,..,Active
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27
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28 cpd2,234,0.9,5.6,..,Inactive
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29
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30 cpd3,567,0.5,3.14,..,Active
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31
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32 cpd4,231,0.1,1.2,..,Inactive
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33
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34 here "cpd" stands for name or id of a compound. It is rowname with no column header.
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35
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36
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37 </help>
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38 </tool>
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