diff pairwise_metrics.xml @ 4:1573e8255a34 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9

--- a/pairwise_metrics.xml	Thu Jun 23 15:27:24 2016 -0400
+++ b/pairwise_metrics.xml	Fri Feb 16 09:13:01 2018 -0500
@@ -52,7 +52,7 @@
     my_function = getattr(pairwise, metric_function)
     metric_res = my_function(X,Y,**options)
 
-pandas.DataFrame(metric_res).to_csv(path_or_buf = "$outfile", sep="\t", index=False, header=False)    
+pandas.DataFrame(metric_res).to_csv(path_or_buf = "$outfile", sep="\t", index=False, header=False)
             ]]>
         </configfile>
     </configfiles>
@@ -76,7 +76,7 @@
                         </section>
                     </when>
                     <when value="linear_kernel">
-                    </when>           
+                    </when>
                     <when value="manhattan_distances">
                         <section name="options" title="Advanced Options" expanded="False">
                             <param argument="sum_over_features" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true" label="Sum over features" help="If True, return the pairwise distance matrix, else return the componentwise L1 pairwise-distances. "/>
@@ -119,7 +119,7 @@
                     <expand macro="sparse_pairwise_condition"/>
                     <expand macro="argmin_distance_condition"/>
                 </conditional>
-            </when>            
+            </when>
         </conditional>
     </inputs>
     <outputs>
@@ -132,7 +132,7 @@
             <param name="input_files_0|input" value="test.tabular" ftype="tabular"/>
             <param name="input_files_1|input" value="test2.tabular" ftype="tabular"/>
             <param name="gamma" value="0.5"/>
-            <output name="outfile" file="pw_metric01.tabular"/>
+            <output name="outfile" file="pw_metric01.tabular" compare="sim_size" />
         </test>
         <test>
             <param name="selected_input_type" value="tabular"/>
@@ -156,7 +156,7 @@
 This tool consists of utilities to evaluate pairwise distances or affinity of sets of samples.
 The base utilities are contained in Scikit-learn python library in sklearn.metrics package.
 This module contains both distance metrics and kernels. For a brief summary, please refer to:
-http://scikit-learn.org/stable/modules/metrics.html#metrics 
+http://scikit-learn.org/stable/modules/metrics.html#metrics
         ]]>
     </help>
     <expand macro="sklearn_citation"/>