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ogrisel
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pygbm
Experimental Gradient Boosting Machines in Python with numba.
MIT License
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Parallel splitting fails in nopython mode
#99
stephanegaiffas
opened
3 years ago
0
Recent Numba not usable with pygbm
#98
esc
opened
4 years ago
1
Implement histogram recycling to improve memory efficiency
#97
ogrisel
opened
4 years ago
0
did you stopped development since since can not do better than lightGBM pr Xgboost pr catboost?
#96
Sandy4321
closed
4 years ago
4
Implement native support for missing values
#95
ogrisel
opened
5 years ago
0
Status of this project?
#94
jondoering
closed
5 years ago
2
numba-integration-test failure
#93
esc
opened
5 years ago
6
_update_raw_predictions() throws a deprecation warning
#92
NicolasHug
opened
5 years ago
1
Optimize categorical crossentropy gradient update
#91
NicolasHug
opened
5 years ago
3
sum_gradient and sum_hessians computation in find_node_split_subtraction
#90
NicolasHug
opened
5 years ago
4
Remove constant_hessian_value?
#89
NicolasHug
opened
5 years ago
1
[MRG] Reuse grower and splitter memory
#88
NicolasHug
closed
2 years ago
8
Failed attempt at ordered gradients/hessians
#87
maartenbreddels
closed
5 years ago
0
Add flake8 linting and code style check to travis
#86
ogrisel
closed
5 years ago
5
Single threaded split
#85
maartenbreddels
opened
5 years ago
1
Avoid ordered_gradients?
#84
maartenbreddels
opened
5 years ago
7
Optionally use left/right indices buffer
#83
maartenbreddels
opened
5 years ago
7
Updating to Scipy 1.2.0 breaks loss tests...
#82
NicolasHug
opened
5 years ago
2
Reuse grower (and thus the splitter) instead of creating a new one
#81
NicolasHug
opened
5 years ago
0
Remove empty slice check (numba fixed the issue)
#80
NicolasHug
opened
5 years ago
0
More memory friendly
#79
maartenbreddels
closed
5 years ago
3
[MRG] Better LightGBM init parameters
#78
NicolasHug
closed
5 years ago
1
Optimize score loss computation
#77
NicolasHug
opened
5 years ago
0
Allow score monitoring regardless of early stopping
#76
NicolasHug
opened
5 years ago
0
[MRG] Early stopping now done with loss by default
#75
NicolasHug
closed
5 years ago
2
[MRG] Accept pre-binned data in fit
#74
NicolasHug
closed
5 years ago
3
make lightgbm import lazy
#73
amueller
closed
5 years ago
2
All the examples require lightgbm
#72
amueller
closed
5 years ago
1
Fixing doc
#71
NicolasHug
closed
5 years ago
0
API documentation is broken
#70
ogrisel
closed
5 years ago
1
Use the training (or validation) loss value for early stopping by default
#69
ogrisel
closed
5 years ago
2
Passing pre-binned data to `fit()`
#68
NicolasHug
closed
5 years ago
4
[MRG] More docstrings
#67
NicolasHug
closed
5 years ago
2
Use cache=True on everything?
#66
NicolasHug
opened
5 years ago
3
[MRG] Fix scoring
#65
NicolasHug
closed
5 years ago
3
[MRG] Initialize predictions to average value or class probabilities
#64
NicolasHug
closed
5 years ago
2
Usage of scorer is incorrect
#63
NicolasHug
closed
5 years ago
1
[MRG] Update bench_predictor.py and move _get_threads_chunks into utils.py
#62
NicolasHug
closed
5 years ago
2
[MRG] Added pygbm to lightgbm model conversion
#61
NicolasHug
closed
5 years ago
2
[MRG] Pass check_estimator form scikit-learn
#60
NicolasHug
closed
5 years ago
2
[MRG] Fixed early stopping mechanism
#59
NicolasHug
closed
5 years ago
6
[MRG] Renamed features_data and binned_features into X_binned
#58
NicolasHug
closed
5 years ago
2
[MRG] Added readthedocs.yml file
#57
NicolasHug
closed
5 years ago
1
Unify names of X_binned, features_data and binned_features
#56
NicolasHug
closed
5 years ago
0
Write tests for the held out validation data and early stopping
#55
NicolasHug
closed
5 years ago
0
[MRG] Documentation: added sphinx support and some first docstrings
#54
NicolasHug
closed
5 years ago
6
Rename y_pred to make it clear that those are the trees values
#53
NicolasHug
closed
5 years ago
1
[MRG] init parameter validation tests
#52
NicolasHug
closed
5 years ago
3
[MRG] Temporary fix for numba update issue
#51
NicolasHug
closed
5 years ago
1
Updating to numba 0.41 breaks everything
#50
NicolasHug
closed
5 years ago
2
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