Mercurial > repos > bgruening > sklearn_nn_classifier

diff nn_classifier.xml @ 9:ed7b1654e841 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
author bgruening
date Sun, 30 Dec 2018 01:54:35 -0500
parents 5072ac474cd5
children e9ba818e7877
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--- a/nn_classifier.xml	Thu Oct 11 03:32:42 2018 -0400
+++ b/nn_classifier.xml	Sun Dec 30 01:54:35 2018 -0500
@@ -119,7 +119,7 @@
             <param name="selected_algorithm" value="nneighbors"/>
             <param name="sampling_method" value="KNeighborsClassifier" />
             <param name="algorithm" value="brute" />
-            <output name="outfile_fit" file="nn_model01"/>
+            <output name="outfile_fit" file="nn_model01" compare="sim_size" delta="5"/>
         </test>
         <test>
             <param name="infile1" value="train_set.tabular" ftype="tabular"/>
@@ -131,7 +131,7 @@
             <param name="selected_task" value="train"/>
             <param name="selected_algorithm" value="nneighbors"/>
             <param name="sampling_method" value="RadiusNeighborsClassifier" />
-            <output name="outfile_fit" file="nn_model02"/>
+            <output name="outfile_fit" file="nn_model02" compare="sim_size" delta="5"/>
         </test>
         <test>
             <param name="infile1" value="train_set.tabular" ftype="tabular"/>
@@ -142,7 +142,7 @@
             <param name="col2" value="5"/>
             <param name="selected_task" value="train"/>
             <param name="selected_algorithm" value="ncentroid"/>
-            <output name="outfile_fit" file="nn_model03"/>
+            <output name="outfile_fit" file="nn_model03" compare="sim_size" delta="5"/>
         </test>
         <test>
             <param name="infile_model" value="nn_model01" ftype="zip"/>