Predict

ex2/predict.m

@@ -1,7 +1,7 @@
 function p = predict(theta, X)
-%PREDICT Predict whether the label is 0 or 1 using learned logistic 
+%PREDICT Predict whether the label is 0 or 1 using learned logistic
 %regression parameters theta
-%   p = PREDICT(theta, X) computes the predictions for X using a 
+%   p = PREDICT(theta, X) computes the predictions for X using a
 %   threshold at 0.5 (i.e., if sigmoid(theta'*x) >= 0.5, predict 1)
 
 m = size(X, 1); % Number of training examples
@@ -11,10 +11,11 @@ p = zeros(m, 1);
 
 % ====================== YOUR CODE HERE ======================
 % Instructions: Complete the following code to make predictions using
-%               your learned logistic regression parameters. 
+%               your learned logistic regression parameters.
 %               You should set p to a vector of 0's and 1's
 %
 
+p = sigmoid(X * theta) > 0.5;