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Testing models from the GPBoost package against regular gradient boosting.

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AhmetZamanis/MixedEffectsRegressionDeliveryTimes

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.gitignore

.gitignore

 
 

1_DataPrep.ipynb

1_DataPrep.ipynb

 
 

2_EDA.ipynb

2_EDA.ipynb

 
 

3.0_XGB.ipynb

3.0_XGB.ipynb

 
 

3.1_LGBM.ipynb

3.1_LGBM.ipynb

 
 

3.2_LM.ipynb

3.2_LM.ipynb

 
 

4.0_GPB1.ipynb

4.0_GPB1.ipynb

 
 

4.0_GPB1_tune.py

4.0_GPB1_tune.py

 
 

4.1_GPB2.ipynb

4.1_GPB2.ipynb

 
 

4.2_LMM.ipynb

4.2_LMM.ipynb

 
 

4.3_LM_GP.ipynb

4.3_LM_GP.ipynb

 
 

4.4_LGBM_no_id.ipynb

4.4_LGBM_no_id.ipynb

 
 

4.5_GPB_randomgroup.ipynb

4.5_GPB_randomgroup.ipynb

 
 

4.6_GPB_boostonly.ipynb

4.6_GPB_boostonly.ipynb

 
 

README.md

README.md

 
 

requirements.txt

requirements.txt

 
 

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Testing models from the GPBoost package against regular gradient boosting.

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python data-science machine-learning regression xgboost lightgbm gaussian-processes gradient-boosting mixed-effects-models random-effects-model gpboost

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