def test_specific_user(self):
link = ClusterLinkage(self.user_ink_data, target_user_id='user_1')
clustered_data = link.clustered_data()
cdtw = ClassifierDTW()
cdtw.train(clustered_data)
accuracy,_,_ = cdtw.test(self.label_ink_pairs)
self.assertGreater(accuracy, 91.0)
def test_simple(self):
link = ClusterLinkage(self.user_ink_data)
clustered_data = link.clustered_data()
cdtw = ClassifierDTW()
cdtw.train(clustered_data)
accuracy,_,_ = cdtw.test(self.label_ink_pairs)
self.assertGreater(accuracy, 92.0)
def test_state_reduction(self):
cDTW = ClassifierDTW(alpha=0.5,min_cluster_size=10)
cDTW.train(self.clustered_data,center_type='medoid',
state_reduction=True)
accuracy,_,_ = cDTW.test(self.label_ink_pairs)
if VERBOSE: print accuracy, 87
self.assertGreater(accuracy, 87.0)
def test_simple(self):
km = ClusterKMeans(self.user_ink_data,algorithm='dtw')
clustered_data = km.clustered_data()
cDTW = ClassifierDTW()
cDTW.train(clustered_data, center_type='centroid')
accuracy,_,_ = cDTW.test(self.label_ink_pairs)
self.assertGreater(accuracy, 93.0)
def test_optimize(self):
km = ClusterKMeans(self.user_ink_data,algorithm='dtw')
km.optimize_cluster_num(self.label_ink_pairs, verbose=False)
clustered_data = km.clustered_data()
cDTW = ClassifierDTW()
cDTW.train(clustered_data, center_type='centroid')
accuracy,_,_ = cDTW.test(self.label_ink_pairs)
self.assertGreater(accuracy, 93.0)
