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params.yml 440 B

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  1. model:
  2. boosting_type: gbdt
  3. class_weight: null
  4. colsample_bytree: 1.0
  5. importance_type: split
  6. learning_rate: 0.1
  7. max_depth: -1
  8. min_child_samples: 20
  9. min_child_weight: 0.001
  10. min_split_gain: 0.0
  11. n_estimators: 100
  12. n_jobs: -1
  13. num_leaves: 31
  14. objective: null
  15. random_state: null
  16. reg_alpha: 0.0
  17. reg_lambda: 0.0
  18. silent: true
  19. subsample: 1.0
  20. subsample_for_bin: 200000
  21. subsample_freq: 0
  22. model_class: LGBMClassifier
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