xgboost

History

Support optimal partitioning for GPU hist. (#7652 )

* Implement `MaxCategory` in quantile.
* Implement partition-based split for GPU evaluation.  Currently, it's based on the existing evaluation function.
* Extract an evaluator from GPU Hist to store the needed states.
* Added some CUDA stream/event utilities.
* Update document with references.
* Fixed a bug in approx evaluator where the number of data points is less than the number of categories.

2022-02-15 03:03:12 +08:00

basic_walkthrough.py

Modernize XGBoost Python document. (#7468 )

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

boost_from_prediction.py

Modernize XGBoost Python document. (#7468 )

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

callbacks.py

Modernize XGBoost Python document. (#7468 )

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

cat_in_the_dat.py

Support optimal partitioning for GPU hist. (#7652 )

2022-02-15 03:03:12 +08:00

categorical.py

Support optimal partitioning for GPU hist. (#7652 )

2022-02-15 03:03:12 +08:00

continuation.py

Modernize XGBoost Python document. (#7468 )

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

cross_validation.py

Modernize XGBoost Python document. (#7468 )

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

custom_rmsle.py

Update document for multi output and categorical. (#7574 )

2022-01-19 04:35:17 +08:00

custom_softmax.py

Modernize XGBoost Python document. (#7468 )

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

evals_result.py

Modernize XGBoost Python document. (#7468 )

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

external_memory.py

Modernize XGBoost Python document. (#7468 )

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

feature_weights.py

Modernize XGBoost Python document. (#7468 )

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

gamma_regression.py

Modernize XGBoost Python document. (#7468 )

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

generalized_linear_model.py

Modernize XGBoost Python document. (#7468 )

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

multioutput_regression.py

Update document for multi output and categorical. (#7574 )

2022-01-19 04:35:17 +08:00

predict_first_ntree.py

Modernize XGBoost Python document. (#7468 )

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

predict_leaf_indices.py

Modernize XGBoost Python document. (#7468 )

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

quantile_data_iterator.py

Modernize XGBoost Python document. (#7468 )

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

README.rst

Modernize XGBoost Python document. (#7468 )

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

sklearn_evals_result.py

Modernize XGBoost Python document. (#7468 )

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

sklearn_examples.py

Replace all uses of deprecated function sklearn.datasets.load_boston (#7373 )

2022-01-30 04:27:57 -08:00

sklearn_parallel.py

Replace all uses of deprecated function sklearn.datasets.load_boston (#7373 )

2022-01-30 04:27:57 -08:00

update_process.py

Replace all uses of deprecated function sklearn.datasets.load_boston (#7373 )

2022-01-30 04:27:57 -08:00

README.rst

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


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