- 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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- 13 Aug, 2023 1 commit
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shiyu1994 authored
* set gpu device id in open mp threads * move SetCUDADevice outside for loop --------- Co-authored-by:
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- 06 Jul, 2023 1 commit
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James Lamb authored
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- 30 Jun, 2023 1 commit
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maskedcoder1337 authored
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- 16 Jun, 2023 1 commit
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Xuweijia-buaa authored
* add l1 metric for cuda_exp * add huber/fair metric for cuda_exp * add poisson/mape/gamma/gamma_deviance/tweedie metrics for cuda_exp * fix cpplint error * fix return error
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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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- 21 Mar, 2023 1 commit
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shiyu1994 authored
* add cuda quantile regression objective * remove white space * resolve merge conflicts * remove useless changes * remove useless changes * enable cuda quantile regression objective * add a test case for quantile regression objective * remove useless changes * remove useless changes * reduce DP_SHARED_HIST_SIZE to 5176 for CUDA 10 --------- Co-authored-by:
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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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- 13 Feb, 2023 1 commit
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Mohamed Ziada authored
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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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- 28 Dec, 2022 1 commit
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Yifei Liu authored
* add parameter data_sample_strategy * abstract GOSS as a sample strategy(GOSS1), togetherwith origial GOSS (Normal Bagging has not been abstracted, so do NOT use it now) * abstract Bagging as a subclass (BAGGING), but original Bagging members in GBDT are still kept * fix some variables * remove GOSS(as boost) and Bagging logic in GBDT * rename GOSS1 to GOSS(as sample strategy) * add warning about use GOSS as boosting_type * a little ; bug * remove CHECK when "gradients != nullptr" * rename DataSampleStrategy to avoid confusion * remove and add some ccomments, followingconvention * fix bug about GBDT::ResetConfig (ObjectiveFunction inconsistencty bet… * add std::ignore to avoid compiler warnings (anpotential fails) * update Makevars and vcxproj * handle constant hessian move resize of gradient vectors out of sample strategy * mark override for IsHessianChange * fix lint errors * rerun parameter_generator.py * update config_auto.cpp * delete redundant blank line * update num_data_ when train_data_ is updated set gradients and hessians when GOSS * check bagging_freq is not zero * reset config_ value merge ResetBaggingConfig and ResetGOSS * remove useless check * add ttests in test_engine.py * remove whitespace in blank line * remove arguments verbose_eval and evals_result * Update tests/python_package_test/test_engine.py reduce num_boost_round Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update src/boosting/bagging.hpp Co-authored-by:
Guangda Liu <v-guangdaliu@microsoft.com> Co-authored-by:
GuangdaLiu <90019144+GuangdaLiu@users.noreply.github.com> Co-authored-by:
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- 27 Dec, 2022 1 commit
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shiyu1994 authored
* add rmse metric for new cuda version * add Init for CUDAMetricInterface * fix lint errors * fix rmse and add l2 metric for new cuda version * use CUDAL2Metric * explicit template instantiation * write result only with the first thread * pre allocate buffer for output converting * fix l2 regression with cuda metric evaluation * weighting loss in cuda metric evaluation * mark CUDATree::AsConstantTree as override
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- 02 Dec, 2022 1 commit
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shiyu1994 authored
* add rmse metric for new cuda version * add Init for CUDAMetricInterface * fix lint errors
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- 29 Nov, 2022 1 commit
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Scott Votaw authored
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- 27 Nov, 2022 1 commit
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shiyu1994 authored
[CUDA] Add Poisson regression objective for cuda_exp and refactor objective functions for cuda_exp (#5486) * add poisson regression objective for cuda_exp * enable Poisson regression for cuda_exp * refactor cuda objective functions * remove useless changes * fix linter errors * remove redundant buffer in cuda poisson regression objective * fix log of cuda_exp binary objective * fix threshold of poisson objective result * remove useless changes * fix compilation errors * add cuda quantile regression objective * remove cuda quantile regression objective Co-authored-by:
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- 21 Nov, 2022 1 commit
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James Lamb authored
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- 03 Nov, 2022 1 commit
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Nikita Titov authored
[docs] Improve docs: fix consistency of dots in C API and add notes about new ``time-costs`` Python-package build option (#5554)
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- 11 Oct, 2022 2 commits
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José Morales authored
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José Morales authored
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- 07 Sep, 2022 1 commit
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shiyu1994 authored
* add feature interaction constraint for cuda_exp * test feature interaction constraints for cuda_exp * remove useless check * update comment
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- 05 Sep, 2022 2 commits
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shiyu1994 authored
* add lambdarank for cuda_exp * support unlimited number of ranks in labels * fix lint errors * remove warning for lambdarank with cuda_exp * Update src/objective/cuda/cuda_rank_objective.hpp Co-authored-by:
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Nikita Titov authored
* Update cuda_column_data.hpp * Update cuda_metadata.hpp * Update cuda_objective_function.hpp * Update cuda_row_data.hpp * Update cuda_regression_objective.hpp
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- 02 Sep, 2022 2 commits
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shiyu1994 authored
* add huber regression for cuda_exp * renew tree output on GPU add test cases for regression objectives * remove useless changes * add white space * fix test_regression
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Scott Votaw authored
Rename num_classes to be more clear
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- 01 Sep, 2022 1 commit
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shiyu1994 authored
* add (l1) regression objective for cuda_exp * remove RenewTreeOutputCUDA from CUDARegressionL2loss * remove mutable and use CUDAVector * remove white spaces * remove TODO and document in (#5459)
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- 31 Aug, 2022 2 commits
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shiyu1994 authored
* add (l2) regression objective for cuda_exp * fix lint errors * correct time tag
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shiyu1994 authored
* add binary objective for cuda_exp * include <string> and <vector> * exchange include ordering * fix length of score to copy in evaluation * fix EvalOneMetric * fix cuda binary objective and prediction when boosting on gpu * Add white space * fix BoostFromScore for CUDABinaryLogloss update log in test_register_logger * include <algorithm> * simplify shared memory buffer
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- 29 Aug, 2022 1 commit
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shiyu1994 authored
* fix cuda_exp ci * fix ci failures introduced by #5279 * cleanup cuda.yml * fix test.sh * clean up test.sh * clean up test.sh * skip lines by cuda_exp in test_register_logger * Update tests/python_package_test/test_utilities.py Co-authored-by:
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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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- 30 Jul, 2022 1 commit
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José Morales authored
* dump sorted parameter aliases * update lgb.check.wrapper_param * update _choose_param_value to look like lgb.check.wrapper_param * apply suggestions from review * reduce diff * move DumpAliases to config * remove unnecessary check * restore parameter check
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- 29 Jul, 2022 1 commit
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shiyu1994 authored
* initial work for boosting and evaluation with CUDA * fix compatibility with CPU code * fix creating objective without USE_CUDA_EXP * fix static analysis errors * fix static analysis errors
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- 21 Jul, 2022 1 commit
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Scott Votaw authored
* Adjust LGBM_DatasetCreateFromSampledColumn to handle distributed data better * linting fix * switch to 1 API with breaking change * Fix pything native call * more python test fixes
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- 27 Jun, 2022 1 commit
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José Morales authored
* check feature names and order in predict with dataframe * slice df in predict to remove the target * scramble features * handle int column names * only change column order when needed * include validate_features param in booster and sklearn estimators * document validate_features argument * use all_close in preds checks and check for assertion error to compare different arrays * perform remapping and checks in cpp * remove extra logs * fixes * revert cpp * proposal * remove extra arg * lint * restore _data_from_pandas arguments * Apply suggestions from code review Co-authored-by:
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- 29 May, 2022 1 commit
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Nikita Titov authored
* Update tree.cpp * Update common.h * Update common.h
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- 22 May, 2022 1 commit
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James Lamb authored
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- 15 Apr, 2022 1 commit
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Samuel Wilson authored
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- 10 Apr, 2022 1 commit
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Pablo Dávila Herrero authored
* Document behaviour of the first linear estimator * Properly update docs Co-authored-by:Pablo-Davila <Pablo-Davila@users.noreply.github.com>
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- 27 Mar, 2022 1 commit
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shiyu1994 authored
* log warnings when number of bins of categorical features exceeds the configured maximum number of bins * log only one warning information for all categorical features * Add #include <memory> for unique_ptr * remove useless param description
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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:
Yu Shi <shiyu1994@qq.com> Co-authored-by:
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