xgboost

History

[breaking] Bump Python requirement to 3.10. (#10434 )

- Bump the Python requirement.
- Fix type hints.
- Use loky to avoid deadlock.
- Workaround cupy-numpy compatibility issue on Windows caused by the `safe` casting rule.
- Simplify the repartitioning logic to avoid dask errors.

2024-07-30 17:31:06 +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

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +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

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +08:00

categorical.py

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +08:00

continuation.py

[breaking] Remove deprecated parameters in the skl interface. (#9986 )

2024-01-15 20:40:05 +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

[doc] Add more detailed explanations for advanced objectives (#10283 )

2024-07-08 19:17:31 +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

Fix categorical data with external memory. (#10433 )

2024-06-18 04:34:54 +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

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +08:00

learning_to_rank.py

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +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

[breaking] Bump Python requirement to 3.10. (#10434 )

2024-07-30 17:31:06 +08:00

quantile_regression.py

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +08:00

README.rst

Modernize XGBoost Python document. (#7468 )

2021-11-23 23:24:52 +08:00

sklearn_evals_result.py

[breaking] Remove deprecated parameters in the skl interface. (#9986 )

2024-01-15 20:40:05 +08:00

sklearn_examples.py

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +08:00

sklearn_parallel.py

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +08:00

spark_estimator_examples.py

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +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.