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* Remove `learning_rates`. It's been deprecated since we have callback. * Set `before_iteration` of `reset_learning_rate` to False to preserve the initial learning rate, and comply to the term "reset". Closes dmlc#4709. * Tests for various `tree_method`.
* Unused code. * Split up old colmaker parameters from train param. * Fix dart. * Better name.
* Add OpenMP as CMake target * Require CMake 3.12, to allow linking OpenMP target to objxgboost * Specify OpenMP compiler flag for CUDA host compiler * Require CMake 3.16+ if the OS is Mac OSX * Use AppleClang in Mac tests. * Update dmlc-core
* - implementation of map ranking algorithm - also effected necessary suggestions mentioned in the earlier ranking pr's - made some performance improvements to the ndcg algo as well
* Removed some data copying. * Make sure gpu_id is valid before any configuration is carried out.
Closes dmlc#3579 . * Don't use map.
* Add block based threading utilities.
* Disable parameter validation for now. Scikit-Learn passes all parameters down to XGBoost, whether they are used or not. * Add option `validate_parameters`.
* Make sure copy constructor is used.
* Lazy initialization of device vector. * Fix dmlc#5162. * Disable copy constructor of HostDeviceVector. Prevents implicit copying. * Fix CPU build. * Bring back move assignment operator.
* Fix syncing DMatrix columns. * notes for tree method. * Enable feature validation for all interfaces except for jvm. * Better tests for boosting from predictions. * Disable validation on JVM.
) * Simplify DropTrees calling logic * Add `training` parameter for prediction method. * [Breaking]: Add `training` to C API. * Change for R and Python custom objective. * Correct comment. Co-authored-by: Philip Hyunsu Cho <[email protected]> Co-authored-by: Jiaming Yuan <[email protected]>
* Explicitly use UTF-8 codepage when using MSVC * Fix build with CUDA enabled
* Fix R dart prediction and add test.
* Update README.md
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