Better comments.

git-svn-id: https://emgucv.svn.sourceforge.net/svnroot/emgucv/trunk@1687 d7f09016-e345-0410-b530-edf29a71df78

Emgu.CV.ML/PInvoke/MlInvoke.cs

@@ -236,7 +236,8 @@ namespace Emgu.CV.ML
       /// </summary>
       /// <param name="model">The EM model</param>
       /// <param name="samples">The input samples</param>
-      /// <param name="probs">The prediction results, should have the same # of rows as the <paramref name="samples"/></param>
+      /// <param name="probs">The prediction results, should have the same # of rows as the <paramref name="samples"/></param>
+      /// <param name="likelihood">The likelihood logarithm value</param>
       /// <returns>In case of classification the method returns the class label, in case of regression - the output function value</returns>
       [DllImport(CvInvoke.EXTERN_LIBRARY, CallingConvention = CvInvoke.CvCallingConvention)]
       public static extern double CvEMPredict(

Emgu.CV/PInvoke/CvType/MCvHistogram.cs

@@ -151,6 +151,9 @@ namespace Emgu.CV.Structure
       /// </summary>
       public RangeF thresh31;
 
+      /// <summary>
+      /// Get the thresh value as an array
+      /// </summary>
       public RangeF[] thresh
       {
          get