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1 <tool id="impute_missing_values" name="Impute Missing Values" force_history_refresh="True">
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2 <command interpreter="python">impute.knn.py
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3 -d $dataset
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4 -o ${output}
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5
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6 </command>
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7 <inputs>
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8 <param name="dataset" type="data" format='tabular' label="Matrix with Missing Values"/>
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9 </inputs>
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10 <outputs>
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11 <data format="tabular" name="output" label="Matrix with Missing Values Imputed"/>
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12 </outputs>
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13 <help>
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14 .. class:: infomark
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15
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16 **Impute Missing Values** - Tool to impute missing values (NAs) from a data matrix.
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17
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18 **OUTPUT:** A new matrix without missing values
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19
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20 ----
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21
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22 **Parameters**
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23
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24 - **Matrix with Missing Values** Input matrix that potentially contains missing values
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25
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26 </help>
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27 </tool>
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