Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
xgboost/demo/guide-python
History
Jiaming Yuan faf0f2df10
Support dataframe data format in native XGBoost. (#9828) 
- Implement a columnar adapter.
- Refactor Python pandas handling code to avoid converting into a single numpy array.
- Add support in R for transforming columns.
- Support R data.frame and factor type.
2023-12-12 09:56:31 +08:00
..
basic_walkthrough.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
boost_from_prediction.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
callbacks.py
[breaking] [jvm-packages] Remove rabit check point. (#9599)
2023-09-26 18:06:34 +08:00
cat_in_the_dat.py
Support dataframe data format in native XGBoost. (#9828)
2023-12-12 09:56:31 +08:00
cat_pipeline.py
[doc] Mention data consistency for categorical features. (#9678)
2023-10-24 10:11:33 +08:00
categorical.py
[doc] Mention data consistency for categorical features. (#9678)
2023-10-24 10:11:33 +08:00
continuation.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
cross_validation.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
custom_rmsle.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
custom_softmax.py
Use matrix for gradient. (#9508)
2023-08-24 05:29:52 +08:00
evals_result.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
external_memory.py
Use weakref instead of id for DataIter cache. (#9445)
2023-08-10 00:40:06 +08:00
feature_weights.py
Init estimation for regression. (#8272)
2023-01-11 02:04:56 +08:00
gamma_regression.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
generalized_linear_model.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
individual_trees.py
[doc] Add demo for inference using individual tree. (#8752)
2023-02-07 04:40:18 +08:00
learning_to_rank.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00
multioutput_regression.py
Use matrix for gradient. (#9508)
2023-08-24 05:29:52 +08:00
predict_first_ntree.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
predict_leaf_indices.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
quantile_data_iterator.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00
quantile_regression.py
Remove note about multi-quantile being python-only (#9854)
2023-12-07 05:17:15 +08:00
README.rst
Modernize XGBoost Python document. (#7468)
2021-11-23 23:24:52 +08:00
sklearn_evals_result.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
sklearn_examples.py
[doc] Add introduction and notes for the sklearn interface. (#8948)
2023-03-23 13:30:42 +08:00
sklearn_parallel.py
Init estimation for regression. (#8272)
2023-01-11 02:04:56 +08:00
spark_estimator_examples.py
Specify src path for isort. (#8867)
2023-03-06 17:30:27 +08:00
update_process.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00

README.rst 

XGBoost Python Feature Walkthrough
==================================


This is a collection of examples for using the XGBoost Python package.