# xgboost

> xgboost 3.5.0-dev documentation


2026, xgboost developers

## Pages in this subsection

- [XGBoost Python Package](index.html.md): This page contains links to all the python related documents on python package.
- [Python Package Introduction](python_intro.html.md): This document gives a basic walkthrough of the xgboost package for Python.  The Python
- [Using the Scikit-Learn Estimator Interface](sklearn_estimator.html.md): **Contents**
- [Python API Reference](python_api.html.md): This page gives the Python API reference of xgboost, please also refer to Python Package Introductio...
- [Supported Python data structures](data_input.html.md): This page is a support matrix for various input types.
- [Callback Functions](callbacks.html.md): This document gives a basic walkthrough of callback API used in
- [XGBoost Python Feature Walkthrough](examples/index.html.md): This is a collection of examples for using the XGBoost Python package.
- [NOTE](examples/predict_leaf_indices.html.md): Go to the end
- [NOTE](examples/sklearn_parallel.html.md): Go to the end
- [NOTE](examples/cover_type.html.md): Go to the end
- [NOTE](examples/evals_result.html.md): Go to the end
- [NOTE](examples/gamma_regression.html.md): Go to the end
- [NOTE](examples/boost_from_prediction.html.md): Go to the end
- [NOTE](examples/sklearn_evals_result.html.md): Go to the end
- [NOTE](examples/feature_weights.html.md): Go to the end
- [NOTE](examples/generalized_linear_model.html.md): Go to the end
- [NOTE](examples/gpu_tree_shap.html.md): Go to the end
- [NOTE](examples/predict_first_ntree.html.md): Go to the end
- [NOTE](examples/basic_walkthrough.html.md): Go to the end
- [NOTE](examples/categorical.html.md): Go to the end
- [NOTE](examples/sklearn_examples.html.md): Go to the end
- [NOTE](examples/cross_validation.html.md): Go to the end
- [NOTE](examples/multioutput_reduced_gradient.html.md): Go to the end
- [NOTE](examples/update_process.html.md): Go to the end
- [NOTE](examples/individual_trees.html.md): Go to the end
- [NOTE](examples/quantile_data_iterator.html.md): Go to the end
- [NOTE](examples/spark_estimator_examples.html.md): Go to the end
- [NOTE](examples/cat_in_the_dat.html.md): Go to the end
- [NOTE](examples/continuation.html.md): Go to the end
- [NOTE](examples/multioutput_regression.html.md): Go to the end
- [NOTE](examples/cat_pipeline.html.md): Go to the end
- [NOTE](examples/callbacks.html.md): Go to the end
- [NOTE](examples/learning_to_rank.html.md): Go to the end
- [NOTE](examples/custom_rmsle.html.md): Go to the end
- [NOTE](examples/external_memory.html.md): Go to the end
- [NOTE](examples/custom_softmax.html.md): Go to the end
- [NOTE](examples/prediction_intervals.html.md): Go to the end
- [NOTE](examples/distributed_extmem_basic.html.md): Go to the end
- [NOTE](examples/model_parser.html.md): Go to the end
- [XGBoost Dask Feature Walkthrough](dask-examples/index.html.md): This directory contains some demonstrations for using dask with XGBoost.  For an
- [NOTE](dask-examples/sklearn_cpu_training.html.md): Go to the end
- [NOTE](dask-examples/sklearn_gpu_training.html.md): Go to the end
- [NOTE](dask-examples/cpu_training.html.md): Go to the end
- [NOTE](dask-examples/cpu_survival.html.md): Go to the end
- [NOTE](dask-examples/dask_callbacks.html.md): Go to the end
- [NOTE](dask-examples/gpu_training.html.md): Go to the end
- [NOTE](dask-examples/forward_logging.html.md): Go to the end
- [NOTE](dask-examples/dask_learning_to_rank.html.md): Go to the end
- [Survival Analysis Walkthrough](survival-examples/index.html.md): This is a collection of examples for using the XGBoost Python package for training
- [NOTE](survival-examples/aft_survival_demo.html.md): Go to the end
- [NOTE](survival-examples/aft_survival_demo_with_optuna.html.md): Go to the end
- [NOTE](survival-examples/aft_survival_viz_demo.html.md): Go to the end
- [Using XGBoost with RAPIDS Memory Manager (RMM) plugin](rmm-examples/index.html.md): Deprecated since version 3.5.0: The RMM plugin has been deprecated, use the CUDA async pool instead.
- [NOTE](rmm-examples/rmm_singlegpu.html.md): Go to the end
- [NOTE](rmm-examples/rmm_mgpu_with_dask.html.md): Go to the end
- [Computation times](dask-examples/sg_execution_times.html.md): **00:00.000** total execution time for 8 files **from python/dask-examples**:
- [Computation times](examples/sg_execution_times.html.md): **00:00.000** total execution time for 32 files **from python/examples**:
- [Computation times](rmm-examples/sg_execution_times.html.md): **00:00.000** total execution time for 2 files **from python/rmm-examples**:
- [Computation times](survival-examples/sg_execution_times.html.md): **00:00.000** total execution time for 3 files **from python/survival-examples**:

## Optional

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