diff ensemble.xml @ 8:ea8b1c89c20b draft

planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit cea052cf3b8dd4f3620253bd222e126de32e7466

--- a/ensemble.xml	Tue Mar 13 06:27:31 2018 -0400
+++ b/ensemble.xml	Thu Mar 22 13:43:19 2018 -0400
@@ -22,32 +22,34 @@
 import pickle
 from scipy.io import mmread
 
+@COLUMNS_FUNCTION@
+
 input_json_path = sys.argv[1]
 params = json.load(open(input_json_path, "r"))
 
-@COLUMNS_FUNCTION@
-
 #if $selected_tasks.selected_task == "train":
 
 algorithm = params["selected_tasks"]["selected_algorithms"]["selected_algorithm"]
 options = params["selected_tasks"]["selected_algorithms"]["options"]
 input_type = params["selected_tasks"]["selected_algorithms"]["input_options"]["selected_input"]
 if input_type=="tabular":
+    header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None
     X = read_columns(
             "$selected_tasks.selected_algorithms.input_options.infile1",
             "$selected_tasks.selected_algorithms.input_options.col1",
             sep='\t',
-            header=None,
+            header=header,
             parse_dates=True
     )
 else:
     X = mmread(open("$selected_tasks.selected_algorithms.input_options.infile1", 'r'))
 
+header = 'infer' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None
 y = read_columns(
         "$selected_tasks.selected_algorithms.input_options.infile2",
         "$selected_tasks.selected_algorithms.input_options.col2",
         sep='\t',
-        header=None,
+        header=header,
         parse_dates=True
 )