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Jiaming Yuan 2cc9662005
Support slicing tree model (#6302) 
This PR is meant the end the confusion around best_ntree_limit and unify model slicing. We have multi-class and random forests, asking users to understand how to set ntree_limit is difficult and error prone.

* Implement the save_best option in early stopping.

Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
2020-11-02 23:27:39 -08:00
..
_static
Doc modernization (#3474)
2018-07-19 14:22:16 -07:00
contrib
Implement intrusive ptr (#6129)
2020-09-20 20:07:16 +08:00
gpu
Update GPUTreeShap, add docs (#6281)
2020-10-27 18:22:12 +13:00
jvm
[jvm-packages] add example to handle missing value other than 0 (#5677)
2020-10-28 17:24:35 -07:00
python
Support slicing tree model (#6302)
2020-11-02 23:27:39 -08:00
R-package
[R] replace uses of T and F with TRUE and FALSE (#5778)
2020-06-11 06:08:02 -04:00
tutorials
Create a tutorial for using the C API in a C/C++ application (#6285)
2020-10-27 12:19:20 -07:00
.gitignore
[DOC] Update R doc
2016-01-16 11:52:33 -08:00
build.rst
[Doc] Add info on GPU compiler (#6204)
2020-10-06 11:35:18 +08:00
c.rst
Export c++ headers in CMake installation. (#4897)
2019-10-06 23:53:09 -04:00
c++.rst
Export c++ headers in CMake installation. (#4897)
2019-10-06 23:53:09 -04:00
cli.rst
Doc modernization (#3474)
2018-07-19 14:22:16 -07:00
conf.py
Create a tutorial for using the C API in a C/C++ application (#6285)
2020-10-27 12:19:20 -07:00
Doxyfile.in
Refactor CMake scripts. (#4323)
2019-04-15 10:08:12 -07:00
dump.schema
Add JSON schema to model dump. (#5660)
2020-05-15 10:18:43 +08:00
faq.rst
Cosmetic fixes in faq.rst (#6161)
2020-09-24 21:05:10 +08:00
get_started.rst
Remove silent from R demos. (#5675)
2020-05-19 18:20:46 +08:00
index.rst
Add swift package reference (#5728)
2020-06-01 15:29:23 +12:00
julia.rst
Doc modernization (#3474)
2018-07-19 14:22:16 -07:00
Makefile
enable basic sphinx doc
2015-08-01 11:27:13 -07:00
model.schema
Add JSON schema for categorical splits. (#6194)
2020-10-07 17:33:31 +08:00
parameter.rst
Document tree method for feature weights. (#6312)
2020-10-28 13:42:13 -07:00
README
Fix doc build (#3126)
2018-02-21 16:57:30 -08:00
requirements.txt
Added conda environment file for building docs (#5773)
2020-06-11 16:51:24 +08:00
sphinx_util.py
[python-package] remove unused imports (#5776)
2020-06-11 16:50:27 +08:00
xgboost_doc.yml
Added conda environment file for building docs (#5773)
2020-06-11 16:51:24 +08:00

README 

The documentation of xgboost is generated with recommonmark and sphinx.

You can build it locally by typing "make html" in this folder.

Checkout https://recommonmark.readthedocs.org for guide on how to write markdown with extensions used in this doc, such as math formulas and table of content.