* Fall back to CUB allocator if RMM memory pool is not set up
* Fix build
* Prevent memory leak
* Add note about lack of memory initialisation
* Add check for other fast allocators
* Set use_cub_allocator_ to true when RMM is not enabled
* Fix clang-tidy
* Do not demangle symbol; add check to ensure Linux+Clang/GCC combo
* [R] Fix empty empty tests and a test warnings
* [R] Remove stringi dependency (fix#5905)
* Fix R lint check
* [R] Fix automatic conversion to factor in R < 4.0.0 in xgb.model.dt.tree
* Add `R` Makefile variable
Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
* Workaround a compiler bug in MacOS AppleClang
* [CI] Run C++ test with MacOS Catalina + AppleClang 11.0.3
* [CI] Migrate cmake_test on MacOS from Travis CI to GitHub Actions
* Install OpenMP runtime
* [CI] Use CMake to locate lz4 lib
* Add getNumFeature to the Java API
* Add getNumFeature to the Scala API
* Add unit tests for getNumFeature
Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
* Fix CMake build with BUILD_STATIC_LIB option
* Disable BUILD_STATIC_LIB option when R/JVM pkg is enabled
* Add objxgboost to install target only when BUILD_STATIC_LIB=ON
* cancel job instead of killing SparkContext
This PR changes the default behavior that kills SparkContext. Instead, This PR
cancels jobs when coming across task failed. That means the SparkContext is
still alive even some exceptions happen.
* add a parameter to control if killing SparkContext
* cancel the jobs the failed task belongs to
* remove the jobId from the map when one job failed.
* resolve comments
We propose to only use the rowHashCode to compute the partitionKey, adding the FeatureValue hashCode does not bring more value and would make the computation slower. Even though a collision would appear at 0.2% with MurmurHash3 this is bearable for partitioning, this won't have any impact on the data balancing.
* Modin DF support
* mode change
* tests were added, ci env was extended
* mode change
* Remove redundant installation of modin
* Add a pytest skip marker for modin
* Install Modin[ray] from PyPI
* fix interfering
* avoid extra conversion
* delete cv test for modin
* revert cv function
Co-authored-by: ShvetsKS <kirill.shvets@intel.com>
Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
* Update GPUTreeShap
* Update src/CMakeLists.txt
Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
Co-authored-by: Philip Hyunsu Cho <chohyu01@cs.washington.edu>
