[mlpack-svn] r10502 - mlpack/trunk/src/mlpack/core/optimizers/lbfgs

[fastlab-svn at coffeetalk-1.cc.gatech.edu]

Author: rcurtin
Date: 2011-12-01 23:10:19 -0500 (Thu, 01 Dec 2011)
New Revision: 10502

Modified:
   mlpack/trunk/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp
Log:
Remove CLI parameters from LBFGS.


Modified: mlpack/trunk/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp
===================================================================
--- mlpack/trunk/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp	2011-12-02 04:09:20 UTC (rev 10501)
+++ mlpack/trunk/src/mlpack/core/optimizers/lbfgs/lbfgs.hpp	2011-12-02 04:10:19 UTC (rev 10502)
@@ -13,22 +13,6 @@
 namespace mlpack {
 namespace optimization {
 
-PARAM_MODULE("lbfgs", "Options for the L-BFGS optimizer, which uses a "
-    "back-tracing line search to determine the step size to take.");
-
-PARAM_DOUBLE("armijo_constant", "Controls the accuracy of the line search "
-    "routine for determining the Armijo condition.", "lbfgs", 1e-4);
-PARAM_DOUBLE("min_step", "The minimum step of the line search.", "lbfgs",
-    1e-20);
-PARAM_DOUBLE("max_step", "The maximum step of the line search.", "lbfgs",
-    1e20);
-PARAM_INT("max_line_search_trials", "The maximum number of trials for the line "
-    "search.", "lbfgs", 50);
-PARAM_DOUBLE("wolfe", "Parameter for detecting the Wolfe condition.", "lbfgs",
-    0.9);
-PARAM_DOUBLE("min_gradient_norm", "Minimum gradient norm required to continue "
-    "the optimization.", "lbfgs", 1e-10);
-
 template<typename FunctionType>
 class L_BFGS
 {