guide-python

XGBoost Python Feature Walkthrough

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

Name		Name	Last commit message	Last commit date
parent directory ..
README.rst		README.rst
basic_walkthrough.py		basic_walkthrough.py
boost_from_prediction.py		boost_from_prediction.py
callbacks.py		callbacks.py
cat_in_the_dat.py		cat_in_the_dat.py
cat_pipeline.py		cat_pipeline.py
categorical.py		categorical.py
continuation.py		continuation.py
cover_type.py		cover_type.py
cross_validation.py		cross_validation.py
custom_rmsle.py		custom_rmsle.py
custom_softmax.py		custom_softmax.py
distributed_extmem_basic.py		distributed_extmem_basic.py
evals_result.py		evals_result.py
external_memory.py		external_memory.py
feature_weights.py		feature_weights.py
gamma_regression.py		gamma_regression.py
generalized_linear_model.py		generalized_linear_model.py
gpu_tree_shap.py		gpu_tree_shap.py
individual_trees.py		individual_trees.py
learning_to_rank.py		learning_to_rank.py
model_parser.py		model_parser.py
multioutput_reduced_gradient.py		multioutput_reduced_gradient.py
multioutput_regression.py		multioutput_regression.py
predict_first_ntree.py		predict_first_ntree.py
predict_leaf_indices.py		predict_leaf_indices.py
quantile_data_iterator.py		quantile_data_iterator.py
quantile_regression.py		quantile_regression.py
sklearn_evals_result.py		sklearn_evals_result.py
sklearn_examples.py		sklearn_examples.py
sklearn_parallel.py		sklearn_parallel.py
spark_estimator_examples.py		spark_estimator_examples.py
update_process.py		update_process.py