![](python/examples/images/thumb/sphx_glr_predict_leaf_indices_thumb.png) [Demo for obtaining leaf index](predict_leaf_indices.html.md)

Demo for obtaining leaf index

![](python/examples/images/thumb/sphx_glr_sklearn_parallel_thumb.png) [Demo for using xgboost with sklearn](sklearn_parallel.html.md)

Demo for using xgboost with sklearn

![](python/examples/images/thumb/sphx_glr_cover_type_thumb.png) [Using xgboost on GPU devices](cover_type.html.md)

Using xgboost on GPU devices

![](python/examples/images/thumb/sphx_glr_evals_result_thumb.png) [This script demonstrate how to access the eval metrics](evals_result.html.md)

This script demonstrate how to access the eval metrics

![](python/examples/images/thumb/sphx_glr_gamma_regression_thumb.png) [Demo for gamma regression](gamma_regression.html.md)

Demo for gamma regression

![](python/examples/images/thumb/sphx_glr_boost_from_prediction_thumb.png) [Demo for boosting from prediction](boost_from_prediction.html.md)

Demo for boosting from prediction

![](python/examples/images/thumb/sphx_glr_sklearn_evals_result_thumb.png) [Demo for accessing the xgboost eval metrics by using sklearn interface](sklearn_evals_result.html.md)

Demo for accessing the xgboost eval metrics by using sklearn interface

![](python/examples/images/thumb/sphx_glr_feature_weights_thumb.png) [Demo for using feature weight to change column sampling](feature_weights.html.md)

Demo for using feature weight to change column sampling

![](python/examples/images/thumb/sphx_glr_generalized_linear_model_thumb.png) [Demo for GLM](generalized_linear_model.html.md)

Demo for GLM

![](python/examples/images/thumb/sphx_glr_gpu_tree_shap_thumb.png) [Use GPU to speedup SHAP value computation](gpu_tree_shap.html.md)

Use GPU to speedup SHAP value computation

![](python/examples/images/thumb/sphx_glr_predict_first_ntree_thumb.png) [Demo for prediction using number of trees](predict_first_ntree.html.md)

Demo for prediction using number of trees

![](python/examples/images/thumb/sphx_glr_basic_walkthrough_thumb.png) [Getting started with XGBoost](basic_walkthrough.html.md)

Getting started with XGBoost

![](python/examples/images/thumb/sphx_glr_categorical_thumb.png) [Getting started with categorical data](categorical.html.md)

Getting started with categorical data

![](python/examples/images/thumb/sphx_glr_sklearn_examples_thumb.png) [Collection of examples for using sklearn interface](sklearn_examples.html.md)

Collection of examples for using sklearn interface

![](python/examples/images/thumb/sphx_glr_cross_validation_thumb.png) [Demo for using cross validation](cross_validation.html.md)

Demo for using cross validation

![](python/examples/images/thumb/sphx_glr_multioutput_reduced_gradient_thumb.png) [A demo for multi-output regression using reduced gradient](multioutput_reduced_gradient.html.md)

A demo for multi-output regression using reduced gradient

![](python/examples/images/thumb/sphx_glr_update_process_thumb.png) [Demo for using process_type with prune and refresh](update_process.html.md)

Demo for using process_type with prune and refresh

![](python/examples/images/thumb/sphx_glr_individual_trees_thumb.png) [Demo for prediction using individual trees and model slices](individual_trees.html.md)

Demo for prediction using individual trees and model slices

![](python/examples/images/thumb/sphx_glr_quantile_data_iterator_thumb.png) [Demo for using data iterator with Quantile DMatrix](quantile_data_iterator.html.md)

Demo for using data iterator with Quantile DMatrix

![](python/examples/images/thumb/sphx_glr_spark_estimator_examples_thumb.png) [Collection of examples for using xgboost.spark estimator interface](spark_estimator_examples.html.md)

Collection of examples for using xgboost.spark estimator interface

![](python/examples/images/thumb/sphx_glr_cat_in_the_dat_thumb.png) [Train XGBoost with cat_in_the_dat dataset](cat_in_the_dat.html.md)

Train XGBoost with cat_in_the_dat dataset

![](python/examples/images/thumb/sphx_glr_continuation_thumb.png) [Demo for training continuation](continuation.html.md)

Demo for training continuation

![](python/examples/images/thumb/sphx_glr_multioutput_regression_thumb.png) [A demo for multi-output regression](multioutput_regression.html.md)

A demo for multi-output regression

![](python/examples/images/thumb/sphx_glr_cat_pipeline_thumb.png) [Feature engineering pipeline for categorical data](cat_pipeline.html.md)

Feature engineering pipeline for categorical data

![](python/examples/images/thumb/sphx_glr_callbacks_thumb.png) [Demo for using and defining callback functions](callbacks.html.md)

Demo for using and defining callback functions

![](python/examples/images/thumb/sphx_glr_learning_to_rank_thumb.png) [Getting started with learning to rank](learning_to_rank.html.md)

Getting started with learning to rank

![](python/examples/images/thumb/sphx_glr_custom_rmsle_thumb.png) [Demo for defining a custom regression objective and metric](custom_rmsle.html.md)

Demo for defining a custom regression objective and metric

![](python/examples/images/thumb/sphx_glr_external_memory_thumb.png) [Experimental support for external memory](external_memory.html.md)

Experimental support for external memory

![](python/examples/images/thumb/sphx_glr_custom_softmax_thumb.png) [Demo for creating customized multi-class objective function](custom_softmax.html.md)

Demo for creating customized multi-class objective function

![](python/examples/images/thumb/sphx_glr_prediction_intervals_thumb.png) [Prediction Intervals with Quantile and Expectile Regression](prediction_intervals.html.md)

Prediction Intervals with Quantile and Expectile Regression

![](python/examples/images/thumb/sphx_glr_distributed_extmem_basic_thumb.png) [Experimental support for distributed training with external memory](distributed_extmem_basic.html.md)

Experimental support for distributed training with external memory

![](python/examples/images/thumb/sphx_glr_model_parser_thumb.png) [Demonstration for parsing JSON/UBJSON tree model files](model_parser.html.md)

Demonstration for parsing JSON/UBJSON tree model files