finish ex2

Author: crabhit

ML/ex2/costFunctionReg.m

@@ -18,9 +18,17 @@
 %               derivatives of the cost w.r.t. each parameter in theta
 
 
+H = sigmoid(X*theta);
 
+reg = (sum(theta.*theta) - theta(1)*theta(1))*(lambda/(2*m));
 
+J = (-1 / m) * (y' * log(H) + (1 - y)' * log(1 - H)) + reg;
 
+grad = (H - y)' * X * (1/m);
+
+for j=2:length(grad)
+	grad(j) = grad(j) + (lambda/m)*theta(j);
+endfor
 
 % =============================================================
 

ML/ex2/ml_login_data.mat

@@ -1,4 +1,4 @@
-# Created by Octave 3.6.2, Tue Sep 18 23:18:34 2012 CST <[email protected]>
+# Created by Octave 3.6.2, Wed Sep 19 16:38:15 2012 CST <[email protected]>
 # name: login
 # type: sq_string
 # elements: 1

ML/ex2/predict.m

@@ -15,9 +15,11 @@
 %               You should set p to a vector of 0's and 1's
 %
 
-
-
-
+for i=1:m
+	if(sigmoid(X(i,:) * theta) >= 0.5)
+		p(i) = 1;
+	end
+endfor