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  1. 24 May, 2022 1 commit
  3. 23 May, 2022 4 commits
  5. 22 May, 2022 1 commit
  7. 18 May, 2022 1 commit
  9. 17 May, 2022 2 commits
  11. 11 May, 2022 1 commit
  13. 10 May, 2022 2 commits
    • James Lamb's avatar
      [R-package] remove lgb.unloader() (#5204) · eababef8
      James Lamb authored 
      * [R-package] remove lgb.unloader()

* update version reference
      eababef8
    • James Lamb's avatar
      [R-package] ensure that callbacks respect verbosity from params (#5199) · 14ca8fc0
      James Lamb authored 
      * [R-package] ensure that callbacks respect verbosity from params

* added tests on lgb.train()

* add lgb.cv() tests

* add fix for lightgbm()

* fix early stopping tests

* start reduucing duplication in tests

* more simplification

* more simplification

* reduce more code duplication

* centrallize more details

* reuse more logic across tests

* more code re-use

* started condensing lgb.cv test code

* further condense lgb.cv() tests

* re-use more code lgb.cv() tests

* more condensing
      14ca8fc0
  15. 04 May, 2022 1 commit
  17. 30 Apr, 2022 1 commit
  19. 24 Apr, 2022 1 commit
  21. 13 Apr, 2022 1 commit
  23. 05 Apr, 2022 2 commits
  25. 04 Apr, 2022 3 commits
  27. 02 Apr, 2022 1 commit
  29. 01 Apr, 2022 2 commits
  31. 31 Mar, 2022 1 commit
  33. 26 Mar, 2022 1 commit
  35. 23 Mar, 2022 1 commit
    • shiyu1994's avatar
      [CUDA] New CUDA version Part 1 (#4630) · 6b56a90c
      shiyu1994 authored 
      

* new cuda framework

* add histogram construction kernel

* before removing multi-gpu

* new cuda framework

* tree learner cuda kernels

* single tree framework ready

* single tree training framework

* remove comments

* boosting with cuda

* optimize for best split find

* data split

* move boosting into cuda

* parallel synchronize best split point

* merge split data kernels

* before code refactor

* use tasks instead of features as units for split finding

* refactor cuda best split finder

* fix configuration error with small leaves in data split

* skip histogram construction of too small leaf

* skip split finding of invalid leaves

stop when no leaf to split

* support row wise with CUDA

* copy data for split by column

* copy data from host to CPU by column for data partition

* add synchronize best splits for one leaf from multiple blocks

* partition dense row data

* fix sync best split from task blocks

* add support for sparse row wise for CUDA

* remove useless code

* add l2 regression objective

* sparse multi value bin enabled for CUDA

* fix cuda ranking objective

* support for number of items <= 2048 per query

* speedup histogram construction by interleaving global memory access

* split optimization

* add cuda tree predictor

* remove comma

* refactor objective and score updater

* before use struct

* use structure for split information

* use structure for leaf splits

* return CUDASplitInfo directly after finding best split

* split with CUDATree directly

* use cuda row data in cuda histogram constructor

* clean src/treelearner/cuda

* gather shared cuda device functions

* put shared CUDA functions into header file

* change smaller leaf from <= back to < for consistent result with CPU

* add tree predictor

* remove useless cuda_tree_predictor

* predict on CUDA with pipeline

* add global sort algorithms

* add global argsort for queries with many items in ranking tasks

* remove limitation of maximum number of items per query in ranking

* add cuda metrics

* fix CUDA AUC

* remove debug code

* add regression metrics

* remove useless file

* don't use mask in shuffle reduce

* add more regression objectives

* fix cuda mape loss

add cuda xentropy loss

* use template for different versions of BitonicArgSortDevice

* add multiclass metrics

* add ndcg metric

* fix cross entropy objectives and metrics

* fix cross entropy and ndcg metrics

* add support for customized objective in CUDA

* complete multiclass ova for CUDA

* separate cuda tree learner

* use shuffle based prefix sum

* clean up cuda_algorithms.hpp

* add copy subset on CUDA

* add bagging for CUDA

* clean up code

* copy gradients from host to device

* support bagging without using subset

* add support of bagging with subset for CUDAColumnData

* add support of bagging with subset for dense CUDARowData

* refactor copy sparse subrow

* use copy subset for column subset

* add reset train data and reset config for CUDA tree learner

add deconstructors for cuda tree learner

* add USE_CUDA ifdef to cuda tree learner files

* check that dataset doesn't contain CUDA tree learner

* remove printf debug information

* use full new cuda tree learner only when using single GPU

* disable all CUDA code when using CPU version

* recover main.cpp

* add cpp files for multi value bins

* update LightGBM.vcxproj

* update LightGBM.vcxproj

fix lint errors

* fix lint errors

* fix lint errors

* update Makevars

fix lint errors

* fix the case with 0 feature and 0 bin

fix split finding for invalid leaves

create cuda column data when loaded from bin file

* fix lint errors

hide GetRowWiseData when cuda is not used

* recover default device type to cpu

* fix na_as_missing case

fix cuda feature meta information

* fix UpdateDataIndexToLeafIndexKernel

* create CUDA trees when needed in CUDADataPartition::UpdateTrainScore

* add refit by tree for cuda tree learner

* fix test_refit in test_engine.py

* create set of large bin partitions in CUDARowData

* add histogram construction for columns with a large number of bins

* add find best split for categorical features on CUDA

* add bitvectors for categorical split

* cuda data partition split for categorical features

* fix split tree with categorical feature

* fix categorical feature splits

* refactor cuda_data_partition.cu with multi-level templates

* refactor CUDABestSplitFinder by grouping task information into struct

* pre-allocate space for vector split_find_tasks_ in CUDABestSplitFinder

* fix misuse of reference

* remove useless changes

* add support for path smoothing

* virtual destructor for LightGBM::Tree

* fix overlapped cat threshold in best split infos

* reset histogram pointers in data partition and spllit finder in ResetConfig

* comment useless parameter

* fix reverse case when na is missing and default bin is zero

* fix mfb_is_na and mfb_is_zero and is_single_feature_column

* remove debug log

* fix cat_l2 when one-hot

fix gradient copy when data subset is used

* switch shared histogram size according to CUDA version

* gpu_use_dp=true when cuda test

* revert modification in config.h

* fix setting of gpu_use_dp=true in .ci/test.sh

* fix linter errors

* fix linter error

remove useless change

* recover main.cpp

* separate cuda_exp and cuda

* fix ci bash scripts

add description for cuda_exp

* add USE_CUDA_EXP flag

* switch off USE_CUDA_EXP

* revert changes in python-packages

* more careful separation for USE_CUDA_EXP

* fix CUDARowData::DivideCUDAFeatureGroups

fix set fields for cuda metadata

* revert config.h

* fix test settings for cuda experimental version

* skip some tests due to unsupported features or differences in implementation details for CUDA Experimental version

* fix lint issue by adding a blank line

* fix lint errors by resorting imports

* fix lint errors by resorting imports

* fix lint errors by resorting imports

* merge cuda.yml and cuda_exp.yml

* update python version in cuda.yml

* remove cuda_exp.yml

* remove unrelated changes

* fix compilation warnings

fix cuda exp ci task name

* recover task

* use multi-level template in histogram construction

check split only in debug mode

* ignore NVCC related lines in parameter_generator.py

* update job name for CUDA tests

* apply review suggestions

* Update .github/workflows/cuda.yml
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>

* Update .github/workflows/cuda.yml
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>

* update header

* remove useless TODOs

* remove [TODO(shiyu1994): constrain the split with min_data_in_group] and record in #5062

* #include <LightGBM/utils/log.h> for USE_CUDA_EXP only

* fix include order

* fix include order

* remove extra space

* address review comments

* add warning when cuda_exp is used together with deterministic

* add comment about gpu_use_dp in .ci/test.sh

* revert changing order of included headers
Co-authored-by: default avatarYu Shi <shiyu1994@qq.com>
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      6b56a90c
  37. 15 Mar, 2022 1 commit
  39. 12 Mar, 2022 2 commits
  41. 23 Feb, 2022 3 commits
  43. 19 Feb, 2022 1 commit
  45. 18 Feb, 2022 1 commit
  47. 16 Feb, 2022 1 commit
  49. 13 Feb, 2022 1 commit
    • Nikita Titov's avatar
      Update versions of LightGBM dependencies (#4935) · 15266f1d
      Nikita Titov authored 
      * update deps

* pin eigen

* add hidden bazel files to `.Rbuildignore`

* more verbose test logs

* more verbosity in logs for other tasks

* empty commit

* empty commit

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* revert fast_double_parser update

* empty commit

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* revert tests verbosity

* test: swap compilers

* empty commit 1

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* empty commit 4

* Revert "test: swap compilers"

This reverts commit e77b0013e9725cc82389f76f004e0367ed9295d8.
      15266f1d
  51. 09 Jan, 2022 2 commits
  53. 07 Jan, 2022 1 commit