Train num_labels one-vs-all logistic regression classifiers

ex3/oneVsAll.m

@@ -49,18 +49,20 @@ X = [ones(m, 1) X];
 %                 initial_theta, options);
 %
 
+for c = 1:num_labels
 
+  % Train a one-vs all classifier for this class c
 
+  initial_theta = zeros(n + 1, 1);
+  options = optimset('GradObj', 'on', 'MaxIter', 50);
 
+  [theta] = fmincg(@(t)(lrCostFunction(t, X, (y == c), lambda)),
+                   initial_theta, options);
 
+  all_theta(c,:) = theta';
 
-
-
-
-
-
+end
 
 % =========================================================================
 
-
 end