## octave-cvsupdate

 [Octave-cvsupdate] SF.net SVN: octave:[5817] trunk/octave-forge/main/info-theory/inst From: - 2009-05-13 18:45:27 Revision: 5817 http://octave.svn.sourceforge.net/octave/?rev=5817&view=rev Author: hauberg Date: 2009-05-13 18:45:19 +0000 (Wed, 13 May 2009) Log Message: ----------- Fix texinfo bugs Modified Paths: -------------- trunk/octave-forge/main/info-theory/inst/conditionalentropy_XY.m trunk/octave-forge/main/info-theory/inst/conditionalentropy_YX.m Modified: trunk/octave-forge/main/info-theory/inst/conditionalentropy_XY.m =================================================================== --- trunk/octave-forge/main/info-theory/inst/conditionalentropy_XY.m 2009-05-13 18:26:17 UTC (rev 5816) +++ trunk/octave-forge/main/info-theory/inst/conditionalentropy_XY.m 2009-05-13 18:45:19 UTC (rev 5817) @@ -25,11 +25,11 @@ ## where $P(\frac{X_k}{Y_i} = \frac{P(X_k,Y_i)}{P(Y_i)}$. ## @end tex ## @end iftex -## @ifinfo +## @ifnottex ## H(X/Y) = SUM( P(Yi)*H(X/Yi) ) , where ## H(X/Yi) = SUM( -P(Xk/Yi)log(P(Xk/Yi))), where ## P(Xk/Yi) = P(Xk,Yi)/P(Yi). -## @end ifinfo +## @end ifnottex ## The matrix @var{xy} must have @var{y} along rows and @var{x} along columns. ## @iftex ## @tex @@ -38,13 +38,13 @@ ## $H(X|Y) = H(X,Y) - H(Y)$ ## @end tex ## @end iftex -## @ifinfo +## @ifnottex ## Xi = SUM( COLi ) ## Yi = SUM( ROWi ) ## H(X|Y) = H(X,Y) - H(Y) -## @end ifinfo +## @end ifnottex +## @seealso{entropy, conditionalentropy} ## @end deftypefn -## @seealso{entropy, conditionalentropy} function val=conditionalentropy_XY(XY) val=0.0; Modified: trunk/octave-forge/main/info-theory/inst/conditionalentropy_YX.m =================================================================== --- trunk/octave-forge/main/info-theory/inst/conditionalentropy_YX.m 2009-05-13 18:26:17 UTC (rev 5816) +++ trunk/octave-forge/main/info-theory/inst/conditionalentropy_YX.m 2009-05-13 18:45:19 UTC (rev 5817) @@ -24,9 +24,9 @@ ## $H(\frac{Y}{X_i}) = \sum_k{-P(\frac{Y_k}{X_i}) \log(P(\frac{Y_k}{X_i}))$. ## @end tex ## @end iftex -## @ifinfo +## @ifnottex ## H(Y/X) = SUM( P(Xi)*H(Y/Xi) ), where H(Y/Xi) = SUM( -P(Yk/Xi)log(P(Yk/Xi))) -## @end ifinfo +## @end ifnottex ## The matrix @var{xy} must have @var{y} along rows and @var{x} along columns. ## @iftex ## @tex @@ -35,11 +35,11 @@ ## $H(Y|X) = H(X,Y) - H(X)$ ## @end tex ## @end iftex -## @ifinfo +## @ifnottex ## Xi = SUM( COLi ) ## Yi = SUM( ROWi ) ## H(Y|X) = H(X,Y) - H(X) -## @end ifinfo +## @end ifnottex ## @end deftypefn ## @seealso{entropy, conditionalentropy_XY} This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.