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authorziejd22019-06-27 14:54:48 -0500
committerGitHub2019-06-27 14:54:48 -0500
commit3f5478e7a3e3cfe6dd333a519eccafa7c27c5f5e (patch)
tree795ea4077bda9e292e3e0282be5a141df079339c
parenta7ace5f3d9e0368d52e285ee26b172bd408a36bd (diff)
downloadBNW-3f5478e7a3e3cfe6dd333a519eccafa7c27c5f5e.tar.gz
Update BNW_data_flow.txt
-rw-r--r--info_files/BNW_data_flow.txt2
1 files changed, 1 insertions, 1 deletions
diff --git a/info_files/BNW_data_flow.txt b/info_files/BNW_data_flow.txt
index dcfa845b..0c9dabc4 100644
--- a/info_files/BNW_data_flow.txt
+++ b/info_files/BNW_data_flow.txt
@@ -47,7 +47,7 @@ Step 2a: Structure learning with default parameters
 Click "Perform Bayesian network modeling using default settings"
 This is a link to executionprogress.php which just displays a "progress bar" and starts structure learning.
 To start structure learning, it runs execute_bn_gom.php.
-execute_bn_gom.php starts structure learning and then runs run_octave in the run_scripts directory discussed in Step 3.
+execute_bn_gom.php starts structure learning using run.sh and, then, run_octave in the run_scripts directory discussed in Step 3.
 
 Output files from structure learning that are written to /sourcecodes/data:
 1) ???structure_input.txt: The structure matrix, containing the edges included in the network model.