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, 6 insertions, 7 deletions

diff --git a/sourcecodes/layout.php b/sourcecodes/layout.php
index e5f4c6b1..75748639 100644
--- a/sourcecodes/layout.php
+++ b/sourcecodes/layout.php
@@ -1,13 +1,8 @@
 <?php
 
 include("header_new.inc");
-
-$keyval=$_GET["My_key"];
-
-
-
-
-
+include("input_validate.php");
+$keyval=valid_keyval($_GET["My_key"]);
 
 $dir="./data/";
 
@@ -77,10 +72,14 @@ function calcHeight()
 <!-- Site navigation menu -->
 <ul class="navbar2">
    <li><p>Selected mode:<br><?php print($radiovalue);?></p></li>
+   <li><p>Network ID:<br><?php print($keyval);?></p></li>
 </ul>
 
 <ul class="navbar">
  <li><a href="clear.php?My_key=<?php print($keyval);?>" target='_blank'>Clear evidence</a>
+<!---
+<li><a href="cv_predictions.php?My_key=<?php print($keyval);?>";>Cross validation and predictions</a>
+--->
   <li><a href="javascript:void(0);"
 NAME="Model Averaging Matrix" title="Model Averaging Matrix"
 onClick=window.open("matrix.php?My_key=<?php print($keyval);?>","Ratting","width=950,height=270,0,status=0,");>Display structure matrix</a>