Example #1
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)
Example #2
0
 def test_simple(self):
     km = ClusterKMeans(self.user_ink_data,
                        min_cluster_size=10)
     clustered_data = km.clustered_data()
     chmm = ClassifierHMM()
     chmm.train(clustered_data)
     accuracy,_,_ = chmm.test(self.label_ink_pairs)
     self.assertGreater(accuracy, 94.0)
Example #3
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)
Example #4
0
 def test_specific_target(self):
     km = ClusterKMeans(self.user_ink_data, 
                        target_user_id='user_1',
                        min_cluster_size=10)
     clustered_data = km.clustered_data()
     chmm = ClassifierHMM()
     chmm.train(clustered_data)
     accuracy,_,_ = chmm.test(self.label_ink_pairs)
     self.assertGreater(accuracy, 95.0)
Example #5
0
 def test_optimize(self):
     km = ClusterKMeans(self.user_ink_data,
                        min_cluster_size=10)
     km.optimize_cluster_num(self.label_ink_pairs, verbose=False)
     clustered_data = km.clustered_data()
     chmm = ClassifierHMM()
     chmm.train(clustered_data)
     accuracy,_,_ = chmm.test(self.label_ink_pairs)
     self.assertGreater(accuracy, 94.0)