Changed dot products for sparse matrices.
Modified sampling and matrix generation.
Added latent factor prediction for DFMF. Minimized zero rows and zero columns.
/Library/Frameworks/Python.framework/Versions/2.7/bin/python /Users/martin/Dev/lbi-summer-2014/src/run.py exp_011_project_essay_resource_donation ../data/kddcup2014/training_1000 1000 0 10 0.02 3 100 300 0.8
T
TRAINING AUC 0.65
TEST AUC 0.60
>DFMF_TRAINING_AUC	2014-07-01_16:35:59_exp_012_project_essay_resource_donation_city_focus_support_atrainingdir=datakddcup2014training_3000_iters=300_k=0.3_kmax=100_kmin=6_max_rows_read=3000_penalty=0_penalty_value=0_training_n=0.8	0.6770
>DFMF_TEST_AUC	2014-07-01_16:35:59_exp_012_project_essay_resource_donation_city_focus_support_atrainingdir=datakddcup2014training_3000_iters=300_k=0.3_kmax=100_kmin=6_max_rows_read=3000_penalty=0_penalty_value=0_training_n=0.8	0.5985
>DFMF_TRAINING_AUC	2014-07-01_16:35:59_exp_012_project_essay_resource_donation_city_focus_support_atrainingdir=datakddcup2014training_3000_iters=300_k=0.3_kmax=100_kmin=6_max_rows_read=3000_penalty=0_penalty_value=0_training_n=0.8	0.6770
>DFMF_TEST_AUC	2014-07-01_16:35:59_exp_012_project_essay_resource_donation_city_focus_support_atrainingdir=datakddcup2014training_3000_iters=300_k=0.3_kmax=100_kmin=6_max_rows_read=3000_penalty=0_penalty_value=0_training_n=0.8	0.5985
Corrected generation of feature dictionaries. Keys are now sorted.
Increased min df.
Added Orange .tab format.
Orange scheme to determine information value of attributes.
Conversion of bag-of-words to correct .tab file.