Various cleanups.

3 files changed, 3 insertions, 2 deletions

diff --git a/ConfusionMatrix.lua b/ConfusionMatrix.lua
index ca514f1..d9809df 100644
--- a/ConfusionMatrix.lua
+++ b/ConfusionMatrix.lua
@@ -72,7 +72,7 @@ function ConfusionMatrix:__tostring__()
          str = str .. ' ['
       end
       for p = 1,nclasses do
-         str = str .. '' .. string.format('%8d\t', self.mat[t][p])
+         str = str .. '' .. string.format('%5d ', self.mat[t][p])
       end
       if self.classes then
          if t == nclasses then
diff --git a/OnlineTrainer.lua b/OnlineTrainer.lua
index 1c47d5e..2b7f2b5 100644
--- a/OnlineTrainer.lua
+++ b/OnlineTrainer.lua
@@ -67,7 +67,7 @@ function OnlineTrainer:train(dataset)
 
    while true do
       print('<trainer> on training set:')
-      print("<trainer> stochastic gradient descent epoch # " .. self.epoch)
+      print("<trainer> online epoch # " .. self.epoch .. '[batchSize = ' .. self.batchSize .. ']')
 
       self.time = sys.clock()
       self.currentError = 0
diff --git a/lbfgs.c b/lbfgs.c
index 13c8cef..2970509 100644
--- a/lbfgs.c
+++ b/lbfgs.c
@@ -1422,6 +1422,7 @@ int lbfgs_run(lua_State *L) {
   // initialize the parameters for the L-BFGS optimization
   lbfgs_parameter_init(&param);
   param.max_iterations = lua_tonumber(L, 3);
+  param.linesearch = LBFGS_LINESEARCH_BACKTRACKING;
 
   // Start the L-BFGS optimization; this will invoke the callback functions
   // evaluate() and progress() when necessary.