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| author | ziejd2 | 2019-06-27 14:54:48 -0500 |
|---|---|---|
| committer | GitHub | 2019-06-27 14:54:48 -0500 |
| commit | 3f5478e7a3e3cfe6dd333a519eccafa7c27c5f5e (patch) | |
| tree | 795ea4077bda9e292e3e0282be5a141df079339c | |
| parent | a7ace5f3d9e0368d52e285ee26b172bd408a36bd (diff) | |
| download | BNW-3f5478e7a3e3cfe6dd333a519eccafa7c27c5f5e.tar.gz | |
Update BNW_data_flow.txt
| -rw-r--r-- | info_files/BNW_data_flow.txt | 2 |
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. |
