[160323]avg_perceptron_results

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

Branch: datapool_fgen_clean command:

python glm_parser.py -i 10 -p ~/Daten/glm-parser-data/penn-wsj-deps/ --train='wsj_0[2-9][0-9][0-9].mrg.3.pa.gs.tab|wsj_1[0-9][0-9][0-9].mrg.3.pa.gs.tab|wsj_2[0-1][0-9][0-9].mrg.3.pa.gs.tab' --test='wsj_0[0-1][0-9][0-9].mrg.3.pa.gs.tab|wsj_22[0-9][0-9].mrg.3.pa.gs.tab|wsj_24[0-9][0-9].mrg.3.pa.gs.tab' -d 23-03-2016 -a --learner=average_perceptron --fgen=english_1st_fgen --parser=ceisner --config=config/penn2malt.config

Log:

03/23/2016 02:00:11 PM DEBUG: Starting sequential train ...

03/23/2016 02:00:11 PM DEBUG: Iteration: 0 03/23/2016 02:00:11 PM DEBUG: Data size: 39867

03/23/2016 03:04:05 PM DEBUG: Iteration: 1 03/23/2016 03:04:05 PM DEBUG: Data size: 39867

03/23/2016 04:08:00 PM DEBUG: Iteration: 2 03/23/2016 04:08:00 PM DEBUG: Data size: 39867

03/23/2016 05:11:28 PM DEBUG: Iteration: 3 03/23/2016 05:11:28 PM DEBUG: Data size: 39867

03/23/2016 06:15:45 PM DEBUG: Iteration: 4 03/23/2016 06:15:45 PM DEBUG: Data size: 39867

03/23/2016 07:19:22 PM DEBUG: Iteration: 5 03/23/2016 07:19:22 PM DEBUG: Data size: 39867

03/23/2016 08:23:22 PM DEBUG: Iteration: 6 03/23/2016 08:23:22 PM DEBUG: Data size: 39867

03/23/2016 09:29:03 PM DEBUG: Iteration: 7 03/23/2016 09:29:03 PM DEBUG: Data size: 39867

03/23/2016 10:38:50 PM DEBUG: Iteration: 8 03/23/2016 10:38:50 PM DEBUG: Data size: 39867

03/23/2016 11:54:31 PM DEBUG: Iteration: 9 03/23/2016 11:54:31 PM DEBUG: Data size: 39867

03/24/2016 01:15:01 AM INFO: Training time usage(seconds): 39584.753614 03/24/2016 01:15:03 AM INFO: Feature count: 7271504 03/24/2016 01:15:03 AM INFO: Unlabeled accuracy: 0.908616375543 (151788, 167054) 03/24/2016 01:15:03 AM INFO: Unlabeled attachment accuracy: 0.912271426437 (158748, 174014)