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

add reference to gpu external memory (#5490)

Browse Source
This commit is contained in:
Rong Ou 2020-04-06 16:15:58 -07:00 committed by GitHub
parent 9097e8f0d9
commit a1085396e2
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
doc/gpu/index.rst
View File

@ -40,6 +40,8 @@ Supported parameters
+================================+==============+ +================================+==============+
| ``subsample`` | |tick| | | ``subsample`` | |tick| |
+--------------------------------+--------------+ +--------------------------------+--------------+
| ``sampling_method`` | |tick| |
+--------------------------------+--------------+
| ``colsample_bytree`` | |tick| | | ``colsample_bytree`` | |tick| |
+--------------------------------+--------------+ +--------------------------------+--------------+
| ``colsample_bylevel`` | |tick| | | ``colsample_bylevel`` | |tick| |
@ -211,6 +213,7 @@ Working memory is allocated inside the algorithm proportional to the number of r
The quantile finding algorithm also uses some amount of working device memory. It is able to operate in batches, but is not currently well optimised for sparse data. The quantile finding algorithm also uses some amount of working device memory. It is able to operate in batches, but is not currently well optimised for sparse data.
If you are getting out-of-memory errors on a big dataset, try the `external memory version <../tutorials/external_memory.html>`_.
Developer notes Developer notes
=============== ===============