This is the replication of the tests performed on master branch on 2014-06-08 using the latest of master branch.

Branch: master

command:

python glm_parser.py -i 10 -b 2 -e 21 -t 0,1,22,24 -p ~/Daten/glm-parser-data/penn-wsj-deps/ -d 29-03-2016 -a --learner=avg_perceptron --fgen=english_1st_fgen --parser=ceisner

03/29/2016 11:49:33 PM DEBUG: Iteration: 0 03/29/2016 11:49:33 PM DEBUG: Data size: 39832 03/30/2016 12:53:19 AM DEBUG: Total Feature Num: 4839508

03/30/2016 12:53:09 AM DEBUG: Iteration: 1 03/30/2016 12:53:09 AM DEBUG: Data size: 39832 03/30/2016 02:00:16 AM DEBUG: Total Feature Num: 5865946

03/30/2016 02:00:02 AM DEBUG: Iteration: 2 03/30/2016 02:00:02 AM DEBUG: Data size: 39832 03/30/2016 03:07:44 AM DEBUG: Total Feature Num: 6360682

03/30/2016 03:07:30 AM DEBUG: Iteration: 3 03/30/2016 03:07:30 AM DEBUG: Data size: 39832 03/30/2016 04:15:23 AM DEBUG: Total Feature Num: 6653154

03/30/2016 04:15:09 AM DEBUG: Iteration: 4 03/30/2016 04:15:09 AM DEBUG: Data size: 39832 03/30/2016 05:23:58 AM DEBUG: Total Feature Num: 6842468

03/30/2016 05:23:43 AM DEBUG: Iteration: 5 03/30/2016 05:23:43 AM DEBUG: Data size: 39832 03/30/2016 06:32:28 AM DEBUG: Total Feature Num: 6981964

03/30/2016 06:32:09 AM DEBUG: Iteration: 6 03/30/2016 06:32:09 AM DEBUG: Data size: 39832 03/30/2016 07:40:53 AM DEBUG: Total Feature Num: 7084542

03/30/2016 07:40:38 AM DEBUG: Iteration: 7 03/30/2016 07:40:38 AM DEBUG: Data size: 39832 03/30/2016 08:49:54 AM DEBUG: Total Feature Num: 7163985

03/30/2016 08:49:38 AM DEBUG: Iteration: 8 03/30/2016 08:49:38 AM DEBUG: Data size: 39832 03/30/2016 10:00:16 AM DEBUG: Total Feature Num: 7230182

03/30/2016 09:59:59 AM DEBUG: Iteration: 9 03/30/2016 09:59:59 AM DEBUG: Data size: 39832 03/30/2016 11:09:43 AM DEBUG: Total Feature Num: 7282918

03/30/2016 11:23:48 AM INFO: Training time usage(seconds): 39806.208996 03/30/2016 11:23:49 AM INFO: Feature count: 7282918 03/30/2016 11:23:49 AM INFO: Unlabeled accuracy: 0.908179391095 (151715, 167054) 03/30/2016 11:23:49 AM INFO: Unlabeled attachment accuracy: 0.911851919960 (158675, 174014)