- 04 Sep, 2023 1 commit
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Pavel Metrikov authored
* Update dataset.h * Update metadata.cpp * Update rank_objective.hpp * Update metadata.cpp * Update rank_objective.hpp * Update metadata.cpp * Update dataset.h * Update rank_objective.hpp * Update metadata.cpp * Update test_engine.py * Update test_engine.py * Add files via upload * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update _rank.train.position * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update _rank.train.position * Update _rank.train.position * Update test_engine.py * Update _rank.train.position * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update test_engine.py * Update the position of import statement * Update rank_objective.hpp * Update config.h * Update config_auto.cpp * Update rank_objective.hpp * Update rank_objective.hpp * update documentation * remove extra blank line * Update src/io/metadata.cpp Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update src/io/metadata.cpp Co-authored-by:
shiyu1994 <shiyu_k1994@qq.com> Co-authored-by:
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- 05 May, 2023 1 commit
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shiyu1994 authored
* add quantized training (first stage) * add histogram construction functions for integer gradients * add stochastic rounding * update docs * fix compilation errors by adding template instantiations * update files for compilation * fix compilation of gpu version * initialize gradient discretizer before share states * add a test case for quantized training * add quantized training for data distributed training * Delete origin.pred * Delete ifelse.pred * Delete LightGBM_model.txt * remove useless changes * fix lint error * remove debug loggings * fix mismatch of vector and allocator types * remove changes in main.cpp * fix bugs with uninitialized gradient discretizer * initialize ordered gradients in gradient discretizer * disable quantized training with gpu and cuda fix msvc compilation errors and warnings * fix bug in data parallel tree learner * make quantized training test deterministic * make quantized training in test case more accurate * refactor test_quantized_training * fix leaf splits initialization with quantized training * check distributed quantized training result
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- 14 Feb, 2023 1 commit
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Scott Votaw authored
* Add serialization of reference dataset * lint and missing file * Fixes from reviewers * responded to comments * revert sdk change
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- 01 Feb, 2023 1 commit
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James Lamb authored
* [ci] speed up if-else, swig, and lint conda setup * add 'source activate' * python constraint * start removing cuda v1 * comment out CI * remove more references * revert some unnecessaary changes * revert a few more mistakes * revert another change that ignored params * sigh * remove CUDATreeLearner * fix tests, docs * fix quoting in setup.py * restore all CI * Apply suggestions from code review Co-authored-by:
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- 29 Nov, 2022 1 commit
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Scott Votaw authored
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- 02 Sep, 2022 1 commit
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Scott Votaw authored
Rename num_classes to be more clear
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- 10 Aug, 2022 1 commit
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Scott Votaw authored
* Extract streaming to own PR * small merge fixes and cleanup * linting fixes * fix cast warning * Fix accidental deletion during branch transfer * responded to initial triage comments * Added more tests to use create-from-samples APIs * added mutex and adjusted nclasses logic * Fix thread-safety for pushing data to sparse bins through Push APIs * lint and doc fixes * Small SWIG fix * nit fix * Responded to StrikerRUS comments * fix breaking change after merge with master * Extract streaming to own PR * small merge fixes and cleanup * Fix accidental deletion during branch transfer * responded to initial triage comments * Added more tests to use create-from-samples APIs * Fix rstcheck call in ci * remove TODOs * Extract streaming to own PR * small merge fixes and cleanup * Fix accidental deletion during branch transfer * responded to initial triage comments * Added more tests to use create-from-samples APIs * Small SWIG fix * remove ci change * responded to shiyu1994 comments * responded to StrikerRUS comments * Fixes from StrikerRUS comments
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- 26 Mar, 2022 1 commit
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shiyu1994 authored
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- 23 Mar, 2022 1 commit
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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:
Nikita Titov <nekit94-08@mail.ru> * Update .github/workflows/cuda.yml Co-authored-by:
Yu Shi <shiyu1994@qq.com> Co-authored-by:
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- 16 Nov, 2021 1 commit
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chjinche authored
* add customized parser support * fix typo of parser_config_file description * make delimiter as parameter of JoinedLines
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- 07 May, 2021 1 commit
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Chen Yufei authored
* New build option: USE_PRECISE_TEXT_PARSER. Use fast_double_parser for text file parsing. For each number, fallback to strtod in case of parse failure. * Add benchmark for CSVParser with Atof and AtofPrecise. * Fix lint complaint. * Fix typo in open result error message. * Revert "Fix lint complaint." This reverts commit 92ab0b6bce9f17d7be9eaeb20f19d4a0a36f0387. * Revert "Add benchmark for CSVParser with Atof and AtofPrecise." This reverts commit 4f8639abd06c679d4382eb715a1793afd94df3d2. * Use AtofPrecise in Common::__StringToTHelper. * [option] precise_float_parser: precise float number parsing for text input. * Remove USE_PRECISE_TEXT_PARSER compile option. * test: add test for Common::AtofPrecise. * test: remove ChunkedArrayTest with 0 length. This triggers Log::Fatal which aborts the test program. * fix lint, add copyright. * Revert "test: remove ChunkedArrayTest with 0 length." This reverts commit 346c76affe9e78b6ca2738c4a56dbb9c00f31102. * Use LightGBM::Common::Sign * save precise_float_parser in model file. * Fix error checking in AtofPrecise. Add more test cases. * Remove test case that can't pass under macOS. * Apply suggestions from code review Co-authored-by:
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- 04 May, 2021 1 commit
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Andrew Ziem authored
* Correct spelling Most changes were in comments, and there were a few changes to literals for log output. There were no changes to variable names, function names, IDs, or functionality. * Clarify a phrase in a comment Co-authored-by:
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- 19 Feb, 2021 1 commit
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James Lamb authored
* [docs] Change some 'parallel learning' references to 'distributed learning' * found a few more * one more reference
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- 07 Jan, 2021 1 commit
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Belinda Trotta authored
* Fix compiler warnings caused by implicit type conversion * Fix more warnings * Fix more warnings
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- 03 Jan, 2021 1 commit
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sisco0 authored
Compile warnings have been fixed
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- 24 Dec, 2020 1 commit
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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
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- 13 Nov, 2020 1 commit
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shiyu1994 authored
* store without offset in multi_val_dense_bin * fix offset bug * add comment for offset * add comment for bin type selection * faster operations for offset * keep most freq bin in histogram for multi val dense * use original feature iterators * consider 9 cases (3 x 3) for multi val bin construction * fix dense bin setting * fix bin data in multi val group * fix offset of the first feature histogram * use float hist buf * avx in histogram construction * use avx for hist construction without prefetch * vectorize bin extraction * use only 128 vec * use avx2 * use vectorization for sparse row wise * add bit size for multi val dense bin * float with no vectorization * change multithreading strategy to dynamic * remove intrinsic header * fix dense multi val col copy * remove bit size * use large enough block size when the bin number is large * calc min block size by sparsity * rescale gradients * rollback gradients scaling * single precision histogram buffer as an option * add float hist buffer with thread buffer * fix setting zero in hist data * fix hist begin pointer in tree learners * remove debug logs * remove omp simd * update Makevars of R-package * fix feature group binary storing * two row wise for double hist buffer * add subfeature for two row wise * remove useless code and fix two row wise * refactor code * grouping the dense feature groups can get sparse multi val bin * clean format problems * one thread for two blocks in sep row wise * use ordered gradients for sep row wise * fix grad ptr * ordered grad with combined block for sep row wise * fix block threading * use the same min block size * rollback share min block size * remove logs * Update src/io/dataset.cpp Co-authored-by:
Guolin Ke <guolin.ke@outlook.com> * fix parameter description * remove sep_row_wise * remove check codes * add check for empty multi val bin * fix lint error * rollback changes in config.h * Apply suggestions from code review Co-authored-by:
Ubuntu <shiyu@gbdt-04.ren3kv4wanvufliwrpy4k03lsf.xx.internal.cloudapp.net> Co-authored-by:
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- 20 Sep, 2020 1 commit
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Chip Kerchner authored
* Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * Initial CUDA work * redirect log to python console (#3090) * redir log to python console * fix pylint * Apply suggestions from code review * Update basic.py * Apply suggestions from code review Co-authored-by:
StrikerRUS <nekit94-12@hotmail.com> * re-order includes (fixes #3132) (#3133) * Revert "re-order includes (fixes #3132) (#3133)" (#3153) This reverts commit 656d2676 . * Missing change from previous rebase * Minor cleanup and removal of development scripts. * Only set gpu_use_dp on by default for CUDA. Other minor change. * Fix python lint indentation problem. * More python lint issues. * Big lint cleanup - more to come. * Another large lint cleanup - more to come. * Even more lint cleanup. * Minor cleanup so less differences in code. * Revert is_use_subset changes * Another rebase from master to fix recent conflicts. * More lint. * Simple code cleanup - add & remove blank lines, revert unneccessary format changes, remove added dead code. * Removed parameters added for CUDA and various bug fix. * Yet more lint and unneccessary changes. * Revert another change. * Removal of unneccessary code. * temporary appveyor.yml for building and testing * Remove return value in ReSize * Removal of unused variables. * Code cleanup from reviewers suggestions. * Removal of FIXME comments and unused defines. * More reviewers comments cleanup. * More reviewers comments cleanup. * More reviewers comments cleanup. * Fix config variables. * Attempt to fix check-docs failure * Update Paramster.rst for num_gpu * Removing test appveyor.yml * Add CUDA_RESOLVE_DEVICE_SYMBOLS to libraries to fix linking issue. * Fixed handling of data elements less than 2K. * More reviewers comments cleanup. * Removal of TODO and fix printing of int64_t * Add cuda change for CI testing and remove cuda from device_type in python. * Missed one change form previous check-in * Removal AdditionConfig and fix settings. * Limit number of GPUs to one for now in CUDA. * Update Parameters.rst for previous check-in * Whitespace removal. * Cleanup unused code. * Changed uint/ushort/ulong to unsigned int/short/long to help Windows based CUDA compiler work. * Lint change from previous check-in. * Changes based on reviewers comments. * More reviewer comment changes. * Adding warning for is_sparse. Revert tmp_subset code. Only return FeatureGroupData if not is_multi_val_ * Fix so that CUDA code will compile even if you enable the SCORE_T_USE_DOUBLE define. * Reviewer comment cleanup. * Replace warning with Log message. Removal of some of the USE_CUDA. Fix typo and removal of pragma once. * Remove PRINT debug for CUDA code. * Allow to use of multiple GPUs for CUDA. * More multi-GPUs enablement for CUDA. * More code cleanup based on reviews comments. * Update docs with latest config changes. Co-authored-by:
Gordon Fossum <fossum@us.ibm.com> Co-authored-by:
ChipKerchner <ckerchne@linux.vnet.ibm.com> Co-authored-by:
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- 19 Jul, 2020 1 commit
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shiyu1994 authored
Co-authored-by:Ubuntu <shiyu@gbdt-shiyu.ren3kv4wanvufliwrpy4k03lsf.xx.internal.cloudapp.net>
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- 05 Jun, 2020 1 commit
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Nikita Titov authored
This reverts commit 656d2676.
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- 01 Jun, 2020 1 commit
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James Lamb authored
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- 10 Apr, 2020 1 commit
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OMOTO Tsukasa authored
* Support UTF-8 characters in feature name again This commit reverts 0d59859c. Also see: - https://github.com/microsoft/LightGBM/issues/2226 - https://github.com/microsoft/LightGBM/issues/2478 - https://github.com/microsoft/LightGBM/pull/2229 I reproduced the issue and as @kidotaka gave us a great survey in #2226, I don't conclude that the cause is UTF-8, but "an empty string (character)". Therefore, I revert "throw error when meet non ascii (#2229)" whose commit hash is 0d59859c, and add support feture names as UTF-8 again. * add tests * fix check-docs tests * update * fix tests * update .travis.yml * fix tests * update test_r_package.sh * update test_r_package.sh * update test_r_package.sh * add a test for R-package * update test_r_package.sh * update test_r_package.sh * update test_r_package.sh * fix test for R-package * update test_r_package.sh * update test_r_package.sh * update test_r_package.sh * update test_r_package.sh * update * updte * update * remove unneeded comments
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- 11 Mar, 2020 1 commit
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Nikita Titov authored
* fixed cpplint errors and disable warning only for VS * wrap more pragma warning
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- 08 Mar, 2020 1 commit
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Guolin Ke authored
* commit * fix msvc * fix format
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- 03 Mar, 2020 1 commit
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Guolin Ke authored
* speed up for const hessian * rename template * fix clang build * template init * add comment
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- 02 Mar, 2020 3 commits
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Guolin Ke authored
* reduce overhead of get num_threads * add warning * Apply suggestions from code review * Apply suggestions from code review
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Guolin Ke authored
* speed up multi-val bin subset for bagging * remove the duplicated codes * code refine * some codes refactoring * move `is_constant_hessian` into `TrainingShareStates` * refine * fix bug * fix bug when num_groups_ < 0 * fix gpu * fix gpu bagging * fix gpu bug * typo * Update src/treelearner/serial_tree_learner.h
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Guolin Ke authored
* don't cache `num_thread`, to avoid change outside * rename * update document * Update docs/Parameters.rst * Update include/LightGBM/config.h * Apply suggestions from code review Co-Authored-By:
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- 20 Feb, 2020 2 commits
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Nikita Titov authored
* added feature infos to JSON dump * slight json schema refactor * simpified code * refactor feature_infos * refactoring * Update src/boosting/gbdt.cpp * Update dataset.h * Update include/LightGBM/dataset.h * simplify * Apply suggestions from code review * parse string and construct JSON objs Co-authored-by: -
Guolin Ke authored
* remove related cpp codes * removed more mentiones of init_score_filename params Co-authored-by:
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- 19 Feb, 2020 2 commits
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Nikita Titov authored
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Guolin Ke authored
* reset * fix a bug * fix test * Update c_api.h * support to no filter features by min_data * add warning in reset config * refine warnings for override dataset's parameter * some cleans * clean code * clean code * refine C API function doxygen comments * refined new param description * refined doxygen comments for R API function * removed stuff related to int8 * break long line in warning message * removed tests which results cannot be validated anymore * added test for warnings about unchangeable params * write parameter from dataset to booster * consider free_raw_data. * fix params * fix bug * implementing R * fix typo * filter params in R * fix R * not min_data * refined tests * fixed linting * refine * pilint * add docstring * fix docstring * R lint * updated description for C API function * use param aliases in Python * fixed typo * fixed typo * added more params to test * removed debug print * fix dataset construct place * fix merge bug * Update feature_histogram.hpp * add is_sparse back * remove unused parameters * fix lint * add data random seed * update * [R-package] centrallized Dataset parameter aliases and added tests on Dataset parameter updating (#2767) Co-authored-by:
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- 17 Feb, 2020 1 commit
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Guolin Ke authored
* commit * refactoring * Update src/io/bin.cpp * Apply suggestions from code review * bug * code clean * remove warning * commit * update parameter
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- 08 Feb, 2020 1 commit
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Nikita Titov authored
* various minor style, docs and cpplint improvements * fixed typo in warning * fix recently added cpplint errors * move note for params upper in description for consistency
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- 02 Feb, 2020 1 commit
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Guolin Ke authored
* commit * fix a bug * fix bug * reset to track changes * refine the auto choose logic * sort the time stats output * fix include * change multi_val_bin_sparse_threshold * add cmake * add _mm_malloc and _mm_free for cross platform * fix cmake bug * timer for split * try to fix cmake * fix tests * refactor DataPartition::Split * fix test * typo * formating * Revert "formating" This reverts commit 5b8de4f7fb9d975ee23701d276a66d40ee6d4222. * add document * [R-package] Added tests on use of force_col_wise and force_row_wise in training (#2719) * naming * fix gpu code * Update include/LightGBM/bin.h Co-Authored-By:
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- 14 Jan, 2020 1 commit
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Guolin Ke authored
* implement * fix warning * fix bug * fix a bug * remove unneed function * fix data push bug * fix valid data push * fix bug for missing_type=zero * refine split * renames * typo
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- 20 Dec, 2019 1 commit
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Guolin Ke authored
* fix predict with header * avoid duplicated feature names
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- 11 Nov, 2019 1 commit
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Nikita Titov authored
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- 15 Oct, 2019 1 commit
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Guolin Ke authored
* reduce the buffer when using high dimensional data in distributed mode. * Update dataset_loader.cpp * refix * typo * fix number of bin accumulation. * avoid overflow * fix warning * efficient solution. * Update dataset.h * fix bin count output * fix warning * bug in dist number of feature check * fix possible edge case * Update dataset.cpp * possible bug fix * fix
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- 07 Oct, 2019 1 commit
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James Lamb authored
* fixed miscellaneous typos in documentation * fix typo introduced in typo-fixing PR
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