1. 28 Oct, 2021 1 commit
  2. 04 May, 2021 1 commit
  3. 13 Feb, 2021 1 commit
    • Benjamin Sergeant's avatar
      openmp_wrapper.h stubs signature use __GOMP_NOTHROW (#3923) · 89da9902
      Benjamin Sergeant authored
      
      
      * openmp_wrapper.h stubs signature use __GOMP_NOTHROW
      
      Fix #3915. OpenMP stubs do not use the noexcept attibute which is present in the gcc version of openmp, and which trigger compilation errors as seen below. dmlc-core uses the same technique and macro.
      
      /usr/lib/gcc/x86_64-linux-gnu/9/include/omp.h:114:12: error: declaration of ‘int omp_get_thread_num() noexcept’ has a different exception specifier
        114 | extern int omp_get_thread_num (void) __GOMP_NOTHROW;
            |            ^~~~~~~~~~~~~~~~~~
      ...
      xxx/include/LightGBM/utils/openmp_wrapper.h:81:14: note: from previous declaration ‘int omp_get_thread_num()’
         81 |   inline int omp_get_thread_num() {return 0;}
            |              ^~~~~~~~~~~~~~~~~~
      
      * move __GOMP_NOTHROW definition in the no open mp stub conditional branch
      
      * Update include/LightGBM/utils/openmp_wrapper.h
      
      Yes make sense, just changed it
      Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      
      * add NOLINT macro to disable cpplint on a safe line of code
      Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      89da9902
  4. 24 Dec, 2020 1 commit
    • Belinda Trotta's avatar
      Trees with linear models at leaves (#3299) · fcfd4132
      Belinda Trotta authored
      * Add Eigen library.
      
      * Working for simple test.
      
      * Apply changes to config params.
      
      * Handle nan data.
      
      * Update docs.
      
      * Add test.
      
      * Only load raw data if boosting=gbdt_linear
      
      * Remove unneeded code.
      
      * Minor updates.
      
      * Update to work with sk-learn interface.
      
      * Update to work with chunked datasets.
      
      * Throw error if we try to create a Booster with an already-constructed dataset having incompatible parameters.
      
      * Save raw data in binary dataset file.
      
      * Update docs and fix parameter checking.
      
      * Fix dataset loading.
      
      * Add test for regularization.
      
      * Fix bugs when saving and loading tree.
      
      * Add test for load/save linear model.
      
      * Remove unneeded code.
      
      * Fix case where not enough leaf data for linear model.
      
      * Simplify code.
      
      * Speed up code.
      
      * Speed up code.
      
      * Simplify code.
      
      * Speed up code.
      
      * Fix bugs.
      
      * Working version.
      
      * Store feature data column-wise (not fully working yet).
      
      * Fix bugs.
      
      * Speed up.
      
      * Speed up.
      
      * Remove unneeded code.
      
      * Small speedup.
      
      * Speed up.
      
      * Minor updates.
      
      * Remove unneeded code.
      
      * Fix bug.
      
      * Fix bug.
      
      * Speed up.
      
      * Speed up.
      
      * Simplify code.
      
      * Remove unneeded code.
      
      * Fix bug, add more tests.
      
      * Fix bug and add test.
      
      * Only store numerical features
      
      * Fix bug and speed up using templates.
      
      * Speed up prediction.
      
      * Fix bug with regularisation
      
      * Visual studio files.
      
      * Working version
      
      * Only check nans if necessary
      
      * Store coeff matrix as an array.
      
      * Align cache lines
      
      * Align cache lines
      
      * Preallocation coefficient calculation matrices
      
      * Small speedups
      
      * Small speedup
      
      * Reverse cache alignment changes
      
      * Change to dynamic schedule
      
      * Update docs.
      
      * Refactor so that linear tree learner is not a separate class.
      
      * Add refit capability.
      
      * Speed up
      
      * Small speedups.
      
      * Speed up add prediction to score.
      
      * Fix bug
      
      * Fix bug and speed up.
      
      * Speed up dataload.
      
      * Speed up dataload
      
      * Use vectors instead of pointers
      
      * Fix bug
      
      * Add OMP exception handling.
      
      * Change return type of LGBM_BoosterGetLinear to bool
      
      * Change return type of LGBM_BoosterGetLinear back to int, only parameter type needed to change
      
      * Remove unused internal_parent_ property of tree
      
      * Remove unused parameter to CreateTreeLearner
      
      * Remove reference to LinearTreeLearner
      
      * Minor style issues
      
      * Remove unneeded check
      
      * Reverse temporary testing change
      
      * Fix Visual Studio project files
      
      * Restore LightGBM.vcxproj.filters
      
      * Speed up
      
      * Speed up
      
      * Simplify code
      
      * Update docs
      
      * Simplify code
      
      * Initialise storage space for max num threads
      
      * Move Eigen to include directory and delete unused files
      
      * Remove old files.
      
      * Fix so it compiles with mingw
      
      * Fix gpu tree learner
      
      * Change AddPredictionToScore back to const
      
      * Fix python lint error
      
      * Fix C++ lint errors
      
      * Change eigen to a submodule
      
      * Update comment
      
      * Add the eigen folder
      
      * Try to fix build issues with eigen
      
      * Remove eigen files
      
      * Add eigen as submodule
      
      * Fix include paths
      
      * Exclude eigen files from Python linter
      
      * Ignore eigen folders for pydocstyle
      
      * Fix C++ linting errors
      
      * Fix docs
      
      * Fix docs
      
      * Exclude eigen directories from doxygen
      
      * Update manifest to include eigen
      
      * Update build_r to include eigen files
      
      * Fix compiler warnings
      
      * Store raw feature data as float
      
      * Use float for calculating linear coefficients
      
      * Remove eigen directory from GLOB
      
      * Don't compile linear model code when building R package
      
      * Fix doxygen issue
      
      * Fix lint issue
      
      * Fix lint issue
      
      * Remove uneeded code
      
      * Restore delected lines
      
      * Restore delected lines
      
      * Change return type of has_raw to bool
      
      * Update docs
      
      * Rename some variables and functions for readability
      
      * Make tree_learner parameter const in AddScore
      
      * Fix style issues
      
      * Pass vectors as const reference when setting tree properties
      
      * Make temporary storage of serial_tree_learner mutable so we can make the object's methods const
      
      * Remove get_raw_size, use num_numeric_features instead
      
      * Fix typo
      
      * Make contains_nan_ and any_nan_ properties immutable again
      
      * Remove data_has_nan_ property of tree
      
      * Remove temporary test code
      
      * Make linear_tree a dataset param
      
      * Fix lint error
      
      * Make LinearTreeLearner a separate class
      
      * Fix lint errors
      
      * Fix lint error
      
      * Add linear_tree_learner.o
      
      * Simulate omp_get_max_threads if openmp is not available
      
      * Update PushOneData to also store raw data.
      
      * Cast size to int
      
      * Fix bug in ReshapeRaw
      
      * Speed up code with multithreading
      
      * Use OMP_NUM_THREADS
      
      * Speed up with multithreading
      
      * Update to use ArrayToString
      
      * Fix tests
      
      * Fix test
      
      * Fix bug introduced in merge
      
      * Minor updates
      
      * Update docs
      fcfd4132
  5. 29 Jul, 2020 1 commit
  6. 05 Jun, 2020 1 commit
  7. 01 Jun, 2020 1 commit
  8. 04 Apr, 2020 1 commit
  9. 11 Mar, 2020 1 commit
  10. 02 Mar, 2020 1 commit
  11. 22 Feb, 2020 1 commit
    • Guolin Ke's avatar
      some code refactoring (#2769) · 3e80df7e
      Guolin Ke authored
      * some refines
      
      * more omp refactoring
      
      * format define
      
      * fix merge bug
      
      * some fixes
      
      * fix some warnings
      
      * Apply suggestions from code review
      
      * Apply suggestions from code review
      
      * remove dup codes
      3e80df7e
  12. 04 Feb, 2020 1 commit
  13. 13 Apr, 2019 1 commit
  14. 11 Apr, 2019 1 commit
  15. 06 Feb, 2019 1 commit
  16. 02 Feb, 2019 1 commit
  17. 21 May, 2017 1 commit
  18. 01 May, 2017 1 commit
  19. 28 Mar, 2017 1 commit
  20. 12 Jan, 2017 1 commit