Created
October 22, 2021 17:33
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function p = predict(theta, X) | |
%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 | |
% threshold at 0.5 (i.e., if sigmoid(theta'*x) >= 0.5, predict 1) | |
m = size(X, 1); % Number of training examples | |
% You need to return the following variables correctly | |
p = zeros(m, 1); | |
% ====================== YOUR CODE HERE ====================== | |
% Instructions: Complete the following code to make predictions using | |
% your learned logistic regression parameters. | |
% You should set p to a vector of 0's and 1's | |
% | |
p = sigmoid(X*theta)>=0.5; | |
% ========================================================================= | |
end |
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