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xgboost/demo/json-model
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Jiaming Yuan acc110c251
[MT-TREE] Support prediction cache and model slicing. (#8968) 
- Fix prediction range.
- Support prediction cache in mt-hist.
- Support model slicing.
- Make the booster a Python iterable by defining `__iter__`.
- Cleanup removed/deprecated parameters.
- A new field in the output model `iteration_indptr` for pointing to the ranges of trees for each iteration.
2023-03-27 23:10:54 +08:00
..
json_parser.py
[MT-TREE] Support prediction cache and model slicing. (#8968)
2023-03-27 23:10:54 +08:00
README.md
Example JSON model parser and Schema. (#5137)
2019-12-23 19:47:35 +08:00

README.md

We introduced initial support for saving XGBoost model in JSON format in 1.0.0. Note that it's still experimental and under development, output schema is subject to change due to bug fixes or further refactoring. For an overview, see https://xgboost.readthedocs.io/en/latest/tutorials/saving_model.html .