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Dec 27th, 2021
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  1. Num weight bits = 18
  2. learning rate = 0.5
  3. initial_t = 0
  4. power_t = 0.5
  5. using no cache
  6. Reading datafile = train-adf.dat
  7. num sources = 1
  8. Enabled reductions: gd, generate_interactions, scorer-identity, csoaa_ldf-rank, cb_adf, cb_explore_adf_greedy, cb_sample, shared_feature_merger, ccb_explore_adf
  9. Input label = ccb
  10. Output pred = decision_probs
  11. average since example example current current current
  12. loss last counter weight label predict features
  13. [warning] Unlabeled example in train set, was this intentional?
  14. 0.000000 0.000000 1 1.0 ?,1:0.8 0,1 72
  15.  
  16. finished run
  17. number of examples = 1
  18. weighted example sum = 1.000000
  19. weighted label sum = 0.000000
  20. average loss = 0.000000
  21. total feature number = 72
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