pass 0 in learning curve

machine learning/machine-learning-ex5/ex5/learningCurve.m

@@ -57,8 +57,8 @@ for i = 1:m
   X_train = X(1:i,:);
   y_train = y(1:i,:);
   theta = trainLinearReg(X_train, y_train, lambda);  
-  [error_train(i,:), grad] = mylinearRegCostFunction(X_train, y_train, theta, lambda);
-  [error_val(i,:), grad] = mylinearRegCostFunction(Xval, yval, theta, lambda);  
+  [error_train(i,:), grad] = linearRegCostFunction(X_train, y_train, theta, 0);
+  [error_val(i,:), grad] = linearRegCostFunction(Xval, yval, theta, 0);  
 endfor
 
 

machine learning/machine-learning-ex5/ex5/token.mat

@@ -1,4 +1,4 @@
-# Created by Octave 4.4.1, Tue Nov 20 18:26:22 2018 GMT <unknown@ICC-LARRYC-D1>
+# Created by Octave 4.4.1, Tue Nov 20 18:37:16 2018 GMT <unknown@ICC-LARRYC-D1>
 # name: email
 # type: sq_string
 # elements: 1