gbdt
Gradient boosting decision trees.
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최종 버전 다운로드 (.zip)- feature_importance.png
- partial_dependency_plot.png
- partial_dependency_plot2.png
- ALGORITHMS.md
- INSTALL.md
- PERFORMANCE_BENCHMARK.md
- TUTORIAL.md
- example.ipynb
- README.md
- test.tsv
- train.tsv
- univariate_example.ipynb
- benchm-ml.auc.config
- benchm-ml.gbrank.config
- benchm-ml.huberized_hinge.config
- benchm-ml.logloss.config
- benchm-ml.mse.config
- benchm-ml.pairwise_logloss.config
- python_example.py
- run.py
- test.tsv
- train-0.1m.tsv
- __init__.py
- libgbdt.so
- __init__.py
- libgbdt.so
- __init__.py
- __init__.py
- libgbdt.so
- __init__.py
- __init__.py
- __init__.py
- _data_store.py
- _forest.py
- _forest_visualizer.py
- _gbdt.py
- _libgbdt.py
- _partial_dependency_plot.py
- _version.py
- bagged.py
- compute_metrics.py
- compute_rmse.py
- convert_tsv_to_filatfiles.py
- draw_trees.py
- setup.sh
- base.h
- BUILD
- bar
- foo
- foo2
- block-0-with-header.tsv
- block-0.tsv
- block-1.tsv
- block-2.tsv
- data_with_missing.tsv
- header
- BUILD
- column.cc
- column.h
- column_test.cc
- data_store.cc
- data_store.h
- data_store_test.cc
- flatfiles_data_store.cc
- flatfiles_data_store.h
- flatfiles_data_store_test.cc
- tsv_block.cc
- tsv_block.h
- tsv_block_test.cc
- tsv_data_store.cc
- tsv_data_store.h
- tsv_data_store_test.cc
- color
- height
- label
- width
- forest.model.txt
- BUILD
- compute_tree_scores.cc
- compute_tree_scores.h
- compute_tree_scores_test.cc
- evaluation.cc
- evaluation.h
- gbdt_algo.cc
- gbdt_algo.h
- gbdt_algo_test.cc
- split_algo.cc
- split_algo.h
- split_algo_test.cc
- tree_algo.cc
- tree_algo.h
- tree_algo_test.cc
- utils.cc
- utils.h
- utils_test.cc
- BUILD
- gradient_data.h
- group.cc
- group.h
- group_test.cc
- loss_func.h
- loss_func_auc.h
- loss_func_factory.cc
- loss_func_factory.h
- loss_func_factory_test.cc
- loss_func_gbrank.h
- loss_func_huberized_hinge.cc
- loss_func_huberized_hinge.h
- loss_func_huberized_hinge_test.cc
- loss_func_lambdamart.cc
- loss_func_lambdamart.h
- loss_func_lambdamart_test.cc
- loss_func_logloss.cc
- loss_func_logloss.h
- loss_func_logloss_test.cc
- loss_func_math.cc
- loss_func_math.h
- loss_func_mse.h
- loss_func_mse_test.cc
- loss_func_pairwise.cc
- loss_func_pairwise.h
- loss_func_pairwise_logloss.h
- loss_func_pairwise_test.cc
- loss_func_pointwise.cc
- loss_func_pointwise.h
- BUILD
- config.proto
- tree.proto
- BUILD
- column_py.cc
- column_py.h
- datastore_py.cc
- datastore_py.h
- forest_py.cc
- forest_py.h
- gbdt_py.cc
- gbdt_py_base.cc
- gbdt_py_base.h
- train_gbdt_py.cc
- train_gbdt_py.h
- BUILD
- json_utils.cc
- json_utils.h
- json_utils_test.cc
- stopwatch.cc
- stopwatch.h
- stopwatch_test.cc
- subsampling.cc
- subsampling.h
- subsampling_test.cc
- threadpool.cc
- threadpool.h
- utils.cc
- utils.h
- utils_inl.h
- utils_test.cc
- vector_slice.h
- vector_slice_test.cc
- BUILD
- flags.cc
- main.cc
- BUILD
- BUILD.tpl
- python_configure.bzl
- remote.BUILD.tpl
- BUILD
- cppformat.BUILD
- pybind11.BUILD
- .bazelrc
- .clang-format
- .gitignore
- LICENSE
- README.md
- setup.cfg
- setup.py
- WORKSPACE
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/yarny/gbdt
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd gbdt
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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