small changes on example commands tested on ICME

Author: hyysun

example_commands.txt

@@ -13,38 +13,38 @@ After we get 'runs', we can do the following things:
 Convert exodus files to sequence files:
 
 	make -f runs convert timestepfile=timesteps.txt 
-    (using normalized timesteps, time: 20min36s)
+	(using normalized timesteps, time: 20min36s)
 
 	make -f runs convert exodus2seq_output=hdfs://icme-hadoop1.localdomain/user/yangyang/simform/output/data.seq2/
-    (without using normalized timesteps, time: 20min24s)
+	(without using normalized timesteps, time: 20min24s)
 
 
 Predict without SVD:
 
 	make -f runs predict design=design_points.txt points=new_points.txt
-    (design points:99 new points:10, time:16min2s)
+	(design points:99 new points:10, time:16min2s)
 
 	make -f runs seq2exodus output_name=thermal_maze_interpolation
-    (output 10 new interpolation exodus files, time: 4min45s)
+	(output 10 new interpolation exodus files, time: 4min45s)
 
 
 Predict with SVD (we can get not only interpolation value but also estimated errors):
 
 	Convert sequenc files to matrix sequence files:
 	make -f runs seq2mseq
-    (time:2hr...)
+	(time:2hr...)
 
-    Compute the SVD model:
+	Compute the SVD model:
 	make -f runs model numExodusfiles=99
-    (step1: full1, 44min46s
-     step2: full2  1min
-     step3: full3  4min6s
-     step4: TSMatMul 3min42s
-     total time: 54min
+	(step1: full1, 44min46s
+	 step2: full2  1min
+	 step3: full3  4min6s
+	 step4: TSMatMul 3min42s
+	 total time: 54min
 
-    Predict with SVD singular values and vectors (before this steps, we should create weights.txt first):
+	Predict with SVD singular values and vectors (before this steps, we should create weights.txt first):
 	make -f runs predict weights=weights.txt SVD=True    
-    (new points:2, time: 22min26s)
+	(new points:2, time: 22min26s)
 
 	make -f runs seq2exodus output_name=thermal_maze_interpolation SVD=True
-    (output 2 new interpolation exodus file, time: 2min40s)
+	(output 2 new interpolation exodus file, time: 2min40s)