Repository 'sklearn_numeric_clustering'
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_numeric_clustering

Changeset 14:6bbf5cb20652 (2018-07-10)
Previous changeset 13:40f3318b61c2 (2018-07-09) Next changeset 15:f02f05990cc9 (2018-07-13)
Commit message:
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 7c2fd140e89605fe689c39e21d70a400545e38cf
modified:
numeric_clustering.xml
test-data/gbc_result01
test-data/rfr_result01
b
diff -r 40f3318b61c2 -r 6bbf5cb20652 numeric_clustering.xml
--- a/numeric_clustering.xml Mon Jul 09 14:32:01 2018 -0400
+++ b/numeric_clustering.xml Tue Jul 10 03:11:22 2018 -0400
[
@@ -65,7 +65,7 @@
     silhouette_score = -1
 sys.stdout.write('silhouette score:' + '\t' + str(silhouette_score) + '\n')
 
-prediction_df = pandas.DataFrame(prediction)
+prediction_df = pandas.DataFrame(prediction, columns=["predicted"])
 
 #if $input_types.selected_input_type == "sparse":
 res = prediction_df
b
diff -r 40f3318b61c2 -r 6bbf5cb20652 test-data/gbc_result01
--- a/test-data/gbc_result01 Mon Jul 09 14:32:01 2018 -0400
+++ b/test-data/gbc_result01 Tue Jul 10 03:11:22 2018 -0400
b
@@ -1,4 +1,4 @@
-0 1 2 3 0
+0 1 2 3 predicted
 3.68258022948 2.82110345641 -3.990140724 -1.9523364774 1
 0.015942057224 -0.711958594347 0.125502976978 -0.972218263337 0
 2.08690768825 0.929399321468 -2.12924084484 -1.99714022188 1
b
diff -r 40f3318b61c2 -r 6bbf5cb20652 test-data/rfr_result01
--- a/test-data/rfr_result01 Mon Jul 09 14:32:01 2018 -0400
+++ b/test-data/rfr_result01 Tue Jul 10 03:11:22 2018 -0400
b
@@ -1,4 +1,4 @@
-86.9702122735 1.00532111569 -1.01739601979 -0.613139481654 0.641846874331 0
+86.9702122735 1.00532111569 -1.01739601979 -0.613139481654 0.641846874331 predicted
 91.2021798817 -0.6215229712070001 1.11914889596 0.390012184498 1.28956938152 0.8511213285107001
 -47.4101632272 -0.638416457964 -0.7327774684530001 -0.8640261049779999 -1.06109770116 0.05344095304070007
 61.712804630200004 -1.0999480057700002 -0.739679672932 0.585657963012 1.4890682753600002 1.1892759745694002