view cluster.tools/impute.knn.xml @ 0:0decf3fd54bc draft

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<tool id="impute_missing_values" name="Impute Missing Values" force_history_refresh="True">
    <command interpreter="python">impute.knn.py
-d $dataset
-o ${output}

</command>
    <inputs>
    	<param name="dataset" type="data" format='tabular' label="Matrix with Missing Values"/>
    </inputs>
    <outputs>
        <data format="tabular" name="output" label="Matrix with Missing Values Imputed"/>
    </outputs>
<help>
.. class:: infomark
     
**Impute Missing Values** - Tool to impute missing values (NAs) from a data matrix.

**OUTPUT:**  A new matrix without missing values

----

**Parameters**

- **Matrix with Missing Values** Input matrix that potentially contains missing values

</help>
</tool>