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

Merge pull request #249 from yzliao/master

Browse Source 
add default value of gamma in parameter.md
This commit is contained in:
Tianqi Chen 2015-04-22 17:07:15 -07:00
commit d3af4e138f
1 changed files with 23 additions and 23 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
doc/parameter.md
View File

@ -27,7 +27,7 @@ From xgboost-unity, the ```bst:``` prefix is no longer needed for booster parame
#### Parameter for Tree Booster #### Parameter for Tree Booster
* eta [default=0.3] * eta [default=0.3]
- step size shrinkage used in update to prevents overfitting. After each boosting step, we can directly get the weights of new features. and eta actually shrinkage the feature weights to make the boosting process more conservative. - step size shrinkage used in update to prevents overfitting. After each boosting step, we can directly get the weights of new features. and eta actually shrinkage the feature weights to make the boosting process more conservative.
* gamma * gamma [default=0]
- minimum loss reduction required to make a further partition on a leaf node of the tree. the larger, the more conservative the algorithm will be. - minimum loss reduction required to make a further partition on a leaf node of the tree. the larger, the more conservative the algorithm will be.
* max_depth [default=6] * max_depth [default=6]
- maximum depth of a tree - maximum depth of a tree