def q3b():
X, y = dl.load_spirals()
X_test, y_test = [], []
X_train, y_train = [], []
idx = np.random.choice(range(len(X)), size=np.floor(len(X) * .2))
for i in range(len(X)):
if i in idx:
X_test.append(X[i])
y_test.append(y[i])
else:
X_train.append(X[i])
y_train.append(y[i])
X_test = np.array(X_test)
X_train = np.array(X_train)
y_test = np.array(y_test)
y_train = np.array(y_train)
dual_perc = dperc.DualPerceptron(T=100)
dual_perc.fit(X_train, y_train)
dot_p = dual_perc.predict(X_test)
dp_gauss = dperc.DualPerceptron(T=100, kname='gaussian')
dp_gauss.fit(X_train, y_train)
gauss_p = dp_gauss.predict(X_test)
print 'AUC Dot: {} Gaussian: {}'.format(accuracy_score(y_test, dot_p), accuracy_score(y_test, gauss_p))
def testSpiralLoad():
X, y = dl.load_spirals()
pass
