def runFull():
nbrUserids = KNNSearch.Search([ 1.0 , -1.2, 1.0, 7.79 ], 2000)
# print "Neighbours\n"
# pprint.pprint(nbrUserids)
split = FeatureSet.featureExtract(nbrUserids)
# print "split\n"
# pprint.pprint(split)
# testData = getTestData()
# print "Test Data\n"
# pprint.pprint(testData);
#
# sys.exit(0)
featureSet = split[0][0]
interested = split[0][1]
notinterested = split[0][2]
z = [True] * len(featureSet[0])
w = [True] * len(featureSet[0])
C = 0.03
#C = 0.3
model = Model(compress=z, has_none=w, C=C)
model.fit(featureSet, interested)
testData = getTestData()
result = runModel(model, testData)
print result
