def example():
X = np.array([[1, 1], [1, 2], [2, 2], [9, 10], [10, 10], [10, 9], [9, 9],
[20, 20]])
fcm = FCM(n_clusters=3)
fcm.set_logger(tostdout=True, level=logging.DEBUG)
fcm.fit(X, [0, 0, 0, 1, 1, 1, 1, 2])
# fcm.fit(X)
testing_data = np.array([[0, 1.9], [5, 3], [4, 4], [8, 9], [9.5, 6.5],
[5, 5], [15, 15], [12, 12], [14, 14], [19, 10]])
predicted_membership = fcm.predict(testing_data)
print "\n\ntesting data"
print testing_data
print "predicted membership"
print predicted_membership
print "\n\n"
draw_model_2d(fcm, data=testing_data, membership=predicted_membership)
def test_logger():
fcm = FCM()
fcm.get_logger()
fcm.set_logger(tostdout=True, logfilename="output.html")