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authorziejd22018-04-25 17:09:08 -0500
committerGitHub2018-04-25 17:09:08 -0500
commitad8435459b6571a82bb1818667727d1b50017c86 (patch)
tree24a09738a62245406541feecd211dc4c49a1f119
parent787580bae5fe1831dfb15082643bfdbe62bac5fc (diff)
downloadBNW-ad8435459b6571a82bb1818667727d1b50017c86.tar.gz
Update BNW_file_overview.txt
-rw-r--r--BNW_file_overview.txt10
1 files changed, 5 insertions, 5 deletions
diff --git a/BNW_file_overview.txt b/BNW_file_overview.txt
index 40528f49..b52d5b37 100644
--- a/BNW_file_overview.txt
+++ b/BNW_file_overview.txt
@@ -6,15 +6,15 @@ a) dot can be executed using /usr/bin/dot
 b) octave can be executed using /usr/bin/octave

 

 BNW is currently located at /var/www/html/compbio/BNW_x.xx

-(Current development version is BNW_1.12).

+(The current development version is BNW_1.2).

 

-It contains two basic files (index.html and home.php) and two directories.

-home.php can be modified/updated to use other versions of BNW

+The main BNW directory contains two basic files (index.html and home.php) and two directories.

+A couple of lines in home.php should be modified/updated to point to the correct BNW directory.

 

 downloads: This contains the downloadable version of the BNW structure learning package.

 

 sourcecodes: This contains the files and codes that are used by the webserver.

-The main purpose of this file is to provide an overview of the files that are contained in 'sourcecodes'.

+The main purpose of this file is to provide a brief overview of the files that are contained in 'sourcecodes'.

 

 1. Directories within sourcecodes:

 a) bnt-master: This contains the code for BayesNetToolbox which is used in parameter learning in BNW.

@@ -23,7 +23,7 @@ a) bnt-master: This contains the code for BayesNetToolbox which is used in param
 b) parameter_learning: This contains the MATLAB/Octave code that we have written for parameter_learning.

         It also prepares data that has been uploaded to BNW for use with the structure learning code.

 

-c) k-best and localscore: These two directories contains the code used for structure learning.

+c) k-best and localscore: These two directories contains the C code used for structure learning.

 

 d) BNW_workflow_test_files, example_datasets, and examples: These three directories contain files that are used by the tutorials and examples on the BNW homepage.