Add a useful package (from Source forge) for octave

[CreaPhase.git] / octave_packages / ga-0.10.0 / fitscalingrank.m

diff --git a/octave_packages/ga-0.10.0/fitscalingrank.m b/octave_packages/ga-0.10.0/fitscalingrank.m
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+## Copyright (C) 2008, 2009 Luca Favatella <slackydeb@gmail.com>
+##
+## This program is free software; you can redistribute it and/or modify
+## it under the terms of the GNU General Public License as published by
+## the Free Software Foundation; either version 2 of the License, or
+## (at your option) any later version.
+##
+## This program is distributed in the hope that it will be useful,
+## but WITHOUT ANY WARRANTY; without even the implied warranty of
+## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+## GNU General Public License for more details.
+##
+## You should have received a copy of the GNU General Public License
+## along with this program; If not, see <http://www.gnu.org/licenses/>.
+
+## Author: Luca Favatella <slackydeb@gmail.com>
+## Version: 1.3.3
+
+function expectation = fitscalingrank (scores, nParents)
+  nr_scores = rows (scores);
+  r(1, 1:nr_scores) = ranks (scores(1:nr_scores, 1));
+                                #TODO
+                                #ranks ([7,2,2]) == [3.0,1.5,1.5]
+                                #is [3,1,2] (or [3,2,1]) useful? 
+  expectation_wo_nParents(1, 1:nr_scores) = arrayfun (@(n) 1 / sqrt (n), r);
+  expectation(1, 1:nr_scores) = \
+      (nParents / sum (expectation_wo_nParents)) * \
+      expectation_wo_nParents;
+endfunction
+
+
+## number of input arguments
+# TODO
+
+## number of output arguments
+# TODO
+
+## type of arguments
+# TODO
+
+# TODO
+
+%!shared scores, nParents, expectation
+%! scores = rand (20, 1);
+%! nParents = 32;
+%! expectation = fitscalingrank (scores, nParents);
+%!assert (sum (expectation), nParents, 1e-9);
+%!test
+%! [trash index_min_scores] = min (scores);
+%! [trash index_max_expectation] = max (expectation);
+%! assert (index_min_scores, index_max_expectation);
+%!test
+%! [trash index_max_scores] = max (scores);
+%! [trash index_min_expectation] = min (expectation);
+%! assert (index_max_scores, index_min_expectation);
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