Created
November 15, 2011 00:36
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Map Feature
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def map_feature(x1, x2): | |
''' | |
Maps the two input features to quadratic features. | |
Returns a new feature array with more features, comprising of | |
X1, X2, X1 ** 2, X2 ** 2, X1*X2, X1*X2 ** 2, etc... | |
Inputs X1, X2 must be the same size | |
''' | |
x1.shape = (x1.size, 1) | |
x2.shape = (x2.size, 1) | |
degree = 6 | |
out = ones(shape=(x1[:, 0].size, 1)) | |
m, n = out.shape | |
for i in range(1, degree + 1): | |
for j in range(i + 1): | |
r = (x1 ** (i - j)) * (x2 ** j) | |
out = append(out, r, axis=1) | |
return out | |
#load the dataset | |
data = loadtxt('ex2data2.txt', delimiter=',') | |
X = data[:, 0:2] | |
y = data[:, 2] | |
pos = where(y == 1) | |
neg = where(y == 0) | |
scatter(X[pos, 0], X[pos, 1], marker='o', c='b') | |
scatter(X[neg, 0], X[neg, 1], marker='x', c='r') | |
xlabel('Microchip Test 1') | |
ylabel('Microchip Test 2') | |
legend(['y = 1', 'y = 0']) | |
#show() | |
m, n = X.shape | |
y.shape = (m, 1) | |
it = map_feature(X[:, 0], X[:, 1]) |
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Hi, your code serves as a perfect learning material!
I don't get the point of setting y.shape=(m,1). Isn't y already of that size?