Predict
This commit is contained in:
parent
31c4ac1967
commit
c0b4d95f75
1 changed files with 4 additions and 3 deletions
|
@ -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;
|
||||
|
||||
|
||||
|
||||
|
|
Reference in a new issue