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xgboost/demo/guide-python
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Jiaming Yuan 972730cde0
Use matrix for gradient. (#9508) 
- Use the `linalg::Matrix` for storing gradients.
- New API for the custom objective.
- Custom objective for multi-class/multi-target is now required to return the correct shape.
- Custom objective for Python can accept arrays with any strides. (row-major, column-major)
2023-08-24 05:29:52 +08:00
..
basic_walkthrough.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
boost_from_prediction.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
callbacks.py
Define best_iteration only if early stopping is used. (#9403)
2023-07-24 12:43:35 +08:00
cat_in_the_dat.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00
categorical.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00
continuation.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
cross_validation.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
custom_rmsle.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
custom_softmax.py
Use matrix for gradient. (#9508)
2023-08-24 05:29:52 +08:00
evals_result.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
external_memory.py
Use weakref instead of id for DataIter cache. (#9445)
2023-08-10 00:40:06 +08:00
feature_weights.py
Init estimation for regression. (#8272)
2023-01-11 02:04:56 +08:00
gamma_regression.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
generalized_linear_model.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
individual_trees.py
[doc] Add demo for inference using individual tree. (#8752)
2023-02-07 04:40:18 +08:00
learning_to_rank.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00
multioutput_regression.py
Use matrix for gradient. (#9508)
2023-08-24 05:29:52 +08:00
predict_first_ntree.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
predict_leaf_indices.py
[Breaking] Require format to be specified in input URI. (#9077)
2023-04-28 19:45:15 +08:00
quantile_data_iterator.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00
quantile_regression.py
[doc] Document the current status of some features. (#9469)
2023-08-13 23:42:27 +08:00
README.rst
Modernize XGBoost Python document. (#7468)
2021-11-23 23:24:52 +08:00
sklearn_evals_result.py
Require isort on all Python files. (#8420)
2022-11-08 12:59:06 +08:00
sklearn_examples.py
[doc] Add introduction and notes for the sklearn interface. (#8948)
2023-03-23 13:30:42 +08:00
sklearn_parallel.py
Init estimation for regression. (#8272)
2023-01-11 02:04:56 +08:00
spark_estimator_examples.py
Specify src path for isort. (#8867)
2023-03-06 17:30:27 +08:00
update_process.py
Handle the new device parameter in dask and demos. (#9386)
2023-07-15 19:11:20 +08:00

README.rst 

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


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