Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Address some sphinx warnings and errors, add doc for building doc. (#4589)

Browse Source
This commit is contained in:
Jiaming Yuan
2019-06-21 06:07:36 +08:00
committed by Philip Hyunsu Cho
parent 6125521caf
commit 9494950ee7
7 changed files with 44 additions and 23 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
doc/tutorials/rf.rst
View File

@@ -13,9 +13,9 @@ Scikit-Learn wrapper after 0.82 (not included in 0.82). Please note that the ne
Scikit-Learn wrapper is still **experimental**, which means we might change the interface
whenever needed.
****************
*****************************************
Standalone Random Forest With XGBoost API
****************
*****************************************
The following parameters must be set to enable random forest training.
@@ -64,9 +64,9 @@ A random forest model can then be trained as follows::
bst = train(params, dmatrix, num_boost_round=1)
**************************
***************************************************
Standalone Random Forest With Scikit-Learn-Like API
**************************
***************************************************
``XGBRFClassifier`` and ``XGBRFRegressor`` are SKL-like classes that provide random forest
functionality. They are basically versions of ``XGBClassifier`` and ``XGBRegressor`` that