# HG changeset patch
# User bgruening
# Date 1527031994 14400
# Node ID 02eadaaa4bf76147b1475dc58d57933827ca0db1
# Parent  333507faecabc09e69a52e07122bfb498f2b086d
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 79fe42239dcf077b13f85cbcd6c6e30d7e1e4832
diff -r 333507faecab -r 02eadaaa4bf7 main_macros.xml
--- a/main_macros.xml	Sat Apr 28 18:10:26 2018 -0400
+++ b/main_macros.xml	Tue May 22 19:33:14 2018 -0400
@@ -2,12 +2,17 @@
   0.9
 
   
-def read_columns(f, c, **args):
+def read_columns(f, c, return_df=False, **args):
   data = pandas.read_csv(f, **args)
   cols = c.split (',')
   cols = map(int, cols)
   cols = list(map(lambda x: x - 1, cols))
-  y = data.iloc[:,cols].values
+  data = data.iloc[:,cols]
+  y = data.values
+  if return_df:
+    return y, data
+  else:
+    return y
   return y
   
 
@@ -789,6 +794,128 @@
     
     
   
+  
+    
+      
+        
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+              
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+            
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+  
   
     
       
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result01
--- a/test-data/feature_selection_result01	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result01	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1
+temp_1	average
 69.0	69.7
 59.0	58.1
 88.0	77.3
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result02
--- a/test-data/feature_selection_result02	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result02	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3
+temp_2	temp_1	forecast_noaa	friend
 68.0	69.0	65.0	88.0
 60.0	59.0	57.0	66.0
 85.0	88.0	75.0	70.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result03
--- a/test-data/feature_selection_result03	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result03	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1
+temp_1	friend
 69.0	88.0
 59.0	66.0
 88.0	70.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result04
--- a/test-data/feature_selection_result04	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result04	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3	4	5	6	7	8	9
+month	day	temp_2	temp_1	average	forecast_noaa	forecast_acc	forecast_under	friend	week_Mon
 9.0	19.0	68.0	69.0	69.7	65.0	74.0	71.0	88.0	1.0
 4.0	14.0	60.0	59.0	58.1	57.0	63.0	58.0	66.0	0.0
 7.0	30.0	85.0	88.0	77.3	75.0	79.0	77.0	70.0	0.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result05
--- a/test-data/feature_selection_result05	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result05	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3	4	5	6	7	8
+month	day	temp_2	temp_1	average	forecast_noaa	forecast_acc	forecast_under	friend
 9.0	19.0	68.0	69.0	69.7	65.0	74.0	71.0	88.0
 4.0	14.0	60.0	59.0	58.1	57.0	63.0	58.0	66.0
 7.0	30.0	85.0	88.0	77.3	75.0	79.0	77.0	70.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result06
--- a/test-data/feature_selection_result06	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result06	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3	4	5	6	7	8
+month	day	temp_2	temp_1	average	forecast_noaa	forecast_acc	forecast_under	friend
 9.0	19.0	68.0	69.0	69.7	65.0	74.0	71.0	88.0
 4.0	14.0	60.0	59.0	58.1	57.0	63.0	58.0	66.0
 7.0	30.0	85.0	88.0	77.3	75.0	79.0	77.0	70.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result07
--- a/test-data/feature_selection_result07	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result07	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3	4	5	6	7	8
+month	day	temp_2	temp_1	average	forecast_noaa	forecast_acc	forecast_under	friend
 9.0	19.0	68.0	69.0	69.7	65.0	74.0	71.0	88.0
 4.0	14.0	60.0	59.0	58.1	57.0	63.0	58.0	66.0
 7.0	30.0	85.0	88.0	77.3	75.0	79.0	77.0	70.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result08
--- a/test-data/feature_selection_result08	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result08	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3	4	5	6	7
+day	temp_2	temp_1	average	forecast_noaa	forecast_acc	forecast_under	friend
 19.0	68.0	69.0	69.7	65.0	74.0	71.0	88.0
 14.0	60.0	59.0	58.1	57.0	63.0	58.0	66.0
 30.0	85.0	88.0	77.3	75.0	79.0	77.0	70.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result09
--- a/test-data/feature_selection_result09	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result09	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3	4	5	6	7	8	9	10	11	12	13
+month	day	temp_2	temp_1	average	forecast_noaa	forecast_acc	forecast_under	friend	week_Fri	week_Mon	week_Sat	week_Sun	week_Tues
 9.0	19.0	68.0	69.0	69.7	65.0	74.0	71.0	88.0	0.0	1.0	0.0	0.0	0.0
 4.0	14.0	60.0	59.0	58.1	57.0	63.0	58.0	66.0	0.0	0.0	0.0	0.0	0.0
 7.0	30.0	85.0	88.0	77.3	75.0	79.0	77.0	70.0	0.0	0.0	1.0	0.0	0.0
diff -r 333507faecab -r 02eadaaa4bf7 test-data/feature_selection_result10
--- a/test-data/feature_selection_result10	Sat Apr 28 18:10:26 2018 -0400
+++ b/test-data/feature_selection_result10	Tue May 22 19:33:14 2018 -0400
@@ -1,4 +1,4 @@
-0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
+month	day	temp_2	temp_1	average	forecast_noaa	forecast_acc	forecast_under	friend	week_Fri	week_Mon	week_Sat	week_Sun	week_Thurs	week_Tues	week_Wed
 9.0	19.0	68.0	69.0	69.7	65.0	74.0	71.0	88.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0
 4.0	14.0	60.0	59.0	58.1	57.0	63.0	58.0	66.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0
 7.0	30.0	85.0	88.0	77.3	75.0	79.0	77.0	70.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0