# xgboost

> xgboost 3.5.0-dev documentation


2026, xgboost developers

## Pages in this subsection

- [XGBoost Python Feature Walkthrough](index.html.md): This is a collection of examples for using the XGBoost Python package.
- [NOTE](predict_leaf_indices.html.md): Go to the end
- [NOTE](sklearn_parallel.html.md): Go to the end
- [NOTE](cover_type.html.md): Go to the end
- [NOTE](evals_result.html.md): Go to the end
- [NOTE](gamma_regression.html.md): Go to the end
- [NOTE](boost_from_prediction.html.md): Go to the end
- [NOTE](sklearn_evals_result.html.md): Go to the end
- [NOTE](feature_weights.html.md): Go to the end
- [NOTE](generalized_linear_model.html.md): Go to the end
- [NOTE](gpu_tree_shap.html.md): Go to the end
- [NOTE](predict_first_ntree.html.md): Go to the end
- [NOTE](basic_walkthrough.html.md): Go to the end
- [NOTE](categorical.html.md): Go to the end
- [NOTE](sklearn_examples.html.md): Go to the end
- [NOTE](cross_validation.html.md): Go to the end
- [NOTE](multioutput_reduced_gradient.html.md): Go to the end
- [NOTE](update_process.html.md): Go to the end
- [NOTE](individual_trees.html.md): Go to the end
- [NOTE](quantile_data_iterator.html.md): Go to the end
- [NOTE](spark_estimator_examples.html.md): Go to the end
- [NOTE](cat_in_the_dat.html.md): Go to the end
- [NOTE](continuation.html.md): Go to the end
- [NOTE](multioutput_regression.html.md): Go to the end
- [NOTE](cat_pipeline.html.md): Go to the end
- [NOTE](callbacks.html.md): Go to the end
- [NOTE](learning_to_rank.html.md): Go to the end
- [NOTE](custom_rmsle.html.md): Go to the end
- [NOTE](external_memory.html.md): Go to the end
- [NOTE](custom_softmax.html.md): Go to the end
- [NOTE](prediction_intervals.html.md): Go to the end
- [NOTE](distributed_extmem_basic.html.md): Go to the end
- [NOTE](model_parser.html.md): Go to the end
- [Computation times](sg_execution_times.html.md): **00:00.000** total execution time for 32 files **from python/examples**:

## Optional

- [Top-level llms.txt](../../llms.txt): Complete documentation index.