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Y-oHr-N
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OptGBM
Optuna + LightGBM = OptGBM
MIT License
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Use black with pre-commit
#72
Y-oHr-N
closed
4 years ago
0
Use pytest-black
#71
Y-oHr-N
closed
4 years ago
0
Fix _get_params on _Objective
#70
Y-oHr-N
closed
4 years ago
0
Extend search space
#69
Y-oHr-N
opened
4 years ago
0
Implement the model that searches catboost hyperparameters
#68
Y-oHr-N
opened
4 years ago
0
Handle alias parameters
#67
Y-oHr-N
closed
4 years ago
0
Create typing module
#66
Y-oHr-N
closed
4 years ago
0
Enable alternative import
#65
Y-oHr-N
closed
4 years ago
0
Use parse_version
#64
Y-oHr-N
closed
4 years ago
0
Test with boosting_type other than "gbdt"
#63
Y-oHr-N
closed
4 years ago
0
Add num_iteration
#62
Y-oHr-N
closed
4 years ago
0
Add test_hasattr
#61
Y-oHr-N
closed
4 years ago
0
Control the necessity of weights with a parameter
#60
Y-oHr-N
opened
4 years ago
0
Add unsupported objectives to OBJECTIVE2METRIC
#59
Y-oHr-N
opened
4 years ago
0
Compute early_stopping_rounds automatically
#58
Y-oHr-N
opened
4 years ago
0
Add best_score_
#57
Y-oHr-N
closed
4 years ago
0
Add refit_time_
#56
Y-oHr-N
closed
4 years ago
0
Test with boosting_type other than "gbdt"
#55
Y-oHr-N
closed
4 years ago
0
Add predict_params for compatibiliby
#54
Y-oHr-N
closed
4 years ago
0
Ignore predict parameters like pred_leaf
#53
Y-oHr-N
closed
4 years ago
0
Add fit_params for compatibility
#52
Y-oHr-N
closed
4 years ago
0
Ignore fit parameters like eval_set
#51
Y-oHr-N
closed
4 years ago
0
Support Python 3.5
#50
Y-oHr-N
closed
4 years ago
0
Fix LightGBMError
#49
Y-oHr-N
closed
4 years ago
0
Support Python 3.5
#48
Y-oHr-N
closed
4 years ago
0
AttributeError: folds should be a generator or iterator of (train_idx, test_idx)
#47
Y-oHr-N
closed
3 years ago
0
AttributeError: 'Booster' object has no attribute 'pandas_categorical'
#46
Y-oHr-N
closed
3 years ago
0
Allow users to set groups
#45
Y-oHr-N
closed
4 years ago
0
Allow objective to be a callable
#44
Y-oHr-N
closed
4 years ago
0
FutureWarning: Passing attributes to check_is_fitted is deprecated and will be removed in 0.23. The attributes argument is ignored.
#43
Y-oHr-N
closed
4 years ago
1
Test with GitHub Actions
#42
Y-oHr-N
closed
4 years ago
0
Implement _VotingBooster.dump_model so that lgb.plot_tree can be used
#41
Y-oHr-N
opened
4 years ago
0
Enable random seed averaging
#40
Y-oHr-N
opened
4 years ago
9
Update test_refit
#39
Y-oHr-N
closed
4 years ago
0
Use black
#38
Y-oHr-N
closed
4 years ago
0
Sort features based on feature importances
#37
Y-oHr-N
closed
4 years ago
1
Create "is_workingday" feature
#36
Y-oHr-N
closed
4 years ago
1
Implement Selector with null importances
#35
Y-oHr-N
closed
4 years ago
1
Allow users to set kwargs
#34
Y-oHr-N
closed
4 years ago
0
Test reproducibility
#33
Y-oHr-N
closed
4 years ago
0
Enable plot_importance
#32
Y-oHr-N
closed
4 years ago
0
Add refit to _BaseOGBMModel
#31
Y-oHr-N
closed
4 years ago
0
Add make_eval_metric
#30
Y-oHr-N
opened
4 years ago
0
Implement Merger
#29
Y-oHr-N
closed
4 years ago
1
Implement Profiler
#28
Y-oHr-N
closed
4 years ago
0
Continuously Deploy the package to PyPI with CircleCI
#27
Y-oHr-N
closed
4 years ago
1
Record training and validation scores for each fold
#26
Y-oHr-N
opened
4 years ago
0
Decay learning rates
#25
Y-oHr-N
opened
4 years ago
0
Allow objective to be a callable
#24
Y-oHr-N
closed
4 years ago
0
Test reproducibility
#23
Y-oHr-N
closed
4 years ago
0
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