Merge pull request #2 from vasnake/ex1

Ex1

ex1/test_computeCost.m

@@ -0,0 +1,12 @@
+function test_computeCost ()
+    epsilon = 1e-4;
+
+    x = computeCost([1 2 3; 1 3 4; 1 4 5; 1 5 6], [7;6;5;4], [0.1;0.2;0.3]);
+    a = 7.0175;
+    assert(x, a, epsilon);
+
+    x = computeCost( [1 2; 1 3; 1 4; 1 5], [7;6;5;4], [0.1;0.2] );
+    a =  11.9450;
+    assert(x, a, epsilon);
+
+endfunction

ex1/test_computeCostMulti.m

@@ -0,0 +1,8 @@
+function test_computeCostMulti ()
+    epsilon = 1e-4;
+
+    x = computeCostMulti( [ 2 1 3; 7 1 9; 1 8 1; 3 7 4 ], [ 2; 5; 5; 6 ], [ 0.3816;  0.7655;  0.7952 ] );
+    a = 6.7273;
+    assert(x, a, epsilon);
+
+endfunction

ex1/test_ex1.m

@@ -0,0 +1,15 @@
+%!test test_sanity()
+
+%!test test_warmup()
+
+%!test test_computeCost()
+
+%!test test_gradientDescent
+
+%!test test_featureNormalize
+
+%!test test_computeCostMulti
+
+%!test test_gradientDescentMulti
+
+%!test test_normalEqn

ex1/test_featureNormalize.m

@@ -0,0 +1,24 @@
+function test_featureNormalize ()
+    epsilon = 1e-4;
+
+    x = featureNormalize([1 2 3]');
+    a = [-1; 0; 1];
+    assert(x, a, epsilon);
+
+    x = featureNormalize([1 2 3;6 4 2]');
+    a = [-1   1; 0   0; 1  -1];
+    assert(x, a, epsilon);
+
+    x = featureNormalize( [ 8 1 6;  3 5 7; 4 9 2 ] );
+    a = [1.1339   -1.0000    0.3780; -0.7559         0    0.7559; -0.3780    1.0000   -1.1339];
+    assert(x, a, epsilon);
+
+    x = featureNormalize([1 2 3 1;6 4 2 0;11 3 3 9;4 9 8 8]');
+    a = [
+      -0.78335   1.16190   1.09141  -1.46571;
+       0.26112   0.38730  -0.84887   0.78923;
+       1.30558  -0.38730  -0.84887   0.33824;
+      -0.78335  -1.16190   0.60634   0.33824];
+    assert(x, a, epsilon);
+
+endfunction

ex1/test_gradientDescent.m

@@ -0,0 +1,12 @@
+function test_gradientDescent ()
+    epsilon = 1e-4;
+
+    x = gradientDescent([1 5; 1 2; 1 4; 1 5],[1 6 4 2]',[0 0]',0.01,1000);
+    a = [5.2148; -0.5733];
+    assert(x, a, epsilon);
+
+    x = gradientDescent([3 5; 1 2; 9 4; 1 5],[1 6 4 2]',[0 0]',0.01,1000);
+    a = [0.2588; 0.3999];
+    assert(x, a, epsilon);
+
+endfunction

ex1/test_gradientDescentMulti.m

@@ -0,0 +1,12 @@
+function test_gradientDescentMulti ()
+    epsilon = 1e-4;
+
+    x = gradientDescentMulti([3 5 6; 1 2 3; 9 4 2],[1 6 4]',[0 0 0]',0.01,1000);
+    a = [
+       1.2123;
+      -2.9458;
+       2.3219];
+
+    assert(x, a, epsilon);
+
+endfunction

ex1/test_normalEqn.m

@@ -0,0 +1,10 @@
+function test_normalEqn ()
+    epsilon = 1e-4;
+
+    x = normalEqn([1 0; 0 2],[1 1]');
+    a = [
+       1.00000;
+       0.50000];
+    assert(x, a, epsilon);
+
+endfunction

ex1/test_sanity.m

@@ -0,0 +1,4 @@
+function test_sanity ()
+  % make sure tests are running correctly
+  assert(1,1);
+endfunction

ex1/test_warmup.m

@@ -0,0 +1,5 @@
+function test_warmup ()
+    X = warmUpExercise();
+    A = eye(5);
+    assert(X, A)
+endfunction