working on ex2

bhrgv-bolla · May 16, 2018 · 13a1183 · 13a1183
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diff --git a/ML/machine-learning-ex2/ex2.pdf b/ML/machine-learning-ex2/ex2.pdf
diff --git a/ML/machine-learning-ex2/ex2/costFunction.m b/ML/machine-learning-ex2/ex2/costFunction.m
@@ -24,11 +24,10 @@
 %x => 100*3
 %theta => 3*1
 %output => 100*1
-theta
 hypothesisBeforeSigmoid = X * theta;
 hypothesis = sigmoid(hypothesisBeforeSigmoid); % Theta transpose * x 
-falseNegatives = (1.-y)' * log(1-hypothesis)
-falsePositives = y' * log(hypothesis)
+falseNegatives = (1.-y)' * log(1-hypothesis);
+falsePositives = y' * log(hypothesis);
 
 costPartial = - (falsePositives + falseNegatives);
 J = costPartial ./ m;

diff --git a/ML/machine-learning-ex2/ex2/predict.m b/ML/machine-learning-ex2/ex2/predict.m
@@ -15,7 +15,10 @@
 %               You should set p to a vector of 0's and 1's
 %
 
-
+innerValue = X * theta;
+hypothesis = sigmoid(innerValue);
+inference = @(x) (x>=0.5) * 1 + (x<0.5) * 0;
+p = inference(hypothesis);
 
 
 

diff --git a/ML/machine-learning-ex2/ex2/token.mat b/ML/machine-learning-ex2/ex2/token.mat
@@ -1,4 +1,4 @@
-# Created by Octave 3.8.0, Wed May 16 15:36:00 2018 PDT <bbolla@m-c02w20n1htdg>
+# Created by Octave 3.8.0, Wed May 16 15:44:00 2018 PDT <bbolla@m-c02w20n1htdg>
 # name: email
 # type: sq_string
 # elements: 1