New parameter learning options

The main change here is in the parameter learning methods.  The parameters that are learned at first (i.e., if there is no evidence) are the distributions that are found directly in the data. I had to create or significantly modify several BNT files for this.

If there is evidence, the parameters are learned using a Dirichlet prior. This only required a couple of small changes to the BNW parameter learning files.

1 files changed, 9 insertions, 2 deletions

diff --git a/sourcecodes/clear.php b/sourcecodes/clear.php
index 8d8f8344..b06c9bc1 100644
--- a/sourcecodes/clear.php
+++ b/sourcecodes/clear.php
@@ -1,6 +1,13 @@
 <?php
+include("input_validate.php");
+$oldkeyval=valid_keyval($_GET["My_key"]);
+
+//if (preg_match('/[^A-Za-z]/',$oldkeyval)) {
+//  echo "Key value must contain only uppercase or lowercase letters.";
+//  $oldkeyval='';
+//}
+
 
-$oldkeyval=$_GET["My_key"];
 
 /////////////Generate a random key/////////////////////
 $alphas=array();
@@ -11,7 +18,7 @@ $al2=rand(0,51);
 $al3=rand(0,51);
 
 $alpha="$alphas[$al1]"."$alphas[$al2]"."$alphas[$al3]";
-$keyval=$alpha;
+$keyval=valid_keyval($alpha);
 shell_exec('./filecopy.sh '.$oldkeyval.' '.$keyval);
 
 ?>