linr, logr

1 files changed, 32 insertions, 0 deletions

diff --git a/R_LogR/mlclass-ex2/predict.m b/R_LogR/mlclass-ex2/predict.m
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+++ b/R_LogR/mlclass-ex2/predict.m
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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
+%
+thresh = 0.5
+
+pred = sigmoid(X * theta);
+for i = 1:m
+  if pred(i) >= thresh
+     p(i) = 1;
+  else
+     p(i) = 0;
+  endif
+
+
+
+% =========================================================================
+
+
+end