glum
High performance Python GLMs with all the features!
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최종 버전 다운로드 (.zip)- linux_64_numpy2.0python3.10.____cpython.yaml
- linux_64_numpy2.0python3.11.____cpython.yaml
- linux_64_numpy2.0python3.12.____cpython.yaml
- linux_64_numpy2.0python3.9.____cpython.yaml
- linux_64_numpy2python3.13.____cp313.yaml
- linux_aarch64_numpy2.0python3.10.____cpython.yaml
- linux_aarch64_numpy2.0python3.11.____cpython.yaml
- linux_aarch64_numpy2.0python3.12.____cpython.yaml
- linux_aarch64_numpy2.0python3.9.____cpython.yaml
- linux_aarch64_numpy2python3.13.____cp313.yaml
- linux_ppc64le_numpy2.0python3.10.____cpython.yaml
- linux_ppc64le_numpy2.0python3.11.____cpython.yaml
- linux_ppc64le_numpy2.0python3.12.____cpython.yaml
- linux_ppc64le_numpy2.0python3.9.____cpython.yaml
- linux_ppc64le_numpy2python3.13.____cp313.yaml
- osx_64_numpy2.0python3.10.____cpython.yaml
- osx_64_numpy2.0python3.11.____cpython.yaml
- osx_64_numpy2.0python3.12.____cpython.yaml
- osx_64_numpy2.0python3.9.____cpython.yaml
- osx_64_numpy2python3.13.____cp313.yaml
- osx_arm64_numpy2.0python3.10.____cpython.yaml
- osx_arm64_numpy2.0python3.11.____cpython.yaml
- osx_arm64_numpy2.0python3.12.____cpython.yaml
- osx_arm64_numpy2.0python3.9.____cpython.yaml
- osx_arm64_numpy2python3.13.____cp313.yaml
- win_64_numpy2.0python3.10.____cpython.yaml
- win_64_numpy2.0python3.11.____cpython.yaml
- win_64_numpy2.0python3.12.____cpython.yaml
- win_64_numpy2.0python3.9.____cpython.yaml
- win_64_numpy2python3.13.____cp313.yaml
- config.yml
- issue-template.md
- backwards-compatibility.yml
- build_wheels.yml
- ci.yml
- daily.yml
- package.yml
- runtime-regression.yml
- scorecard.yml
- CODEOWNERS
- dependabot.yml
- PULL_REQUEST_TEMPLATE.md
- prepare_macos_wheel.sh
- recipe.yaml
- housing.parquet
- insurance.parquet
- .gitignore
- headline_benchmark.pdf
- headline_benchmark.png
- headline_benchmark_dark.png
- intermediate-housing-gamma-normalized.png
- intermediate-housing-gaussian-normalized.png
- intermediate-housing-l2.pdf
- intermediate-housing-l2.png
- intermediate-housing-lasso.pdf
- intermediate-housing-lasso.png
- intermediate-insurance-l2.pdf
- intermediate-insurance-l2.png
- intermediate-insurance-lasso.pdf
- intermediate-insurance-lasso.png
- narrow-insurance-l2.pdf
- narrow-insurance-l2.png
- narrow-insurance-lasso.pdf
- narrow-insurance-lasso.png
- old_benchmark_figure.png
- simulated-glm-gaussian-k-over-n-0.01-normalized.png
- simulated-glm-gaussian-k-over-n-0.1-normalized.png
- simulated-glm-gaussian-k-over-n-0.5-normalized.png
- simulated-glm-gaussian-k-over-n-1-normalized.png
- simulated-glm-gaussian-k-over-n-2.png
- wide-insurance-gamma-monotonic-normalized.png
- wide-insurance-gamma-normalized.png
- wide-insurance-gamma-normalized_dark.png
- wide-insurance-l2.pdf
- wide-insurance-l2.png
- wide-insurance-lasso.pdf
- wide-insurance-lasso.png
- wide-insurance-poisson-normalized.png
- wide-insurance-tweedie-p=1.5-normalized.png
- getting_started.ipynb
- getting_started.md
- cox_model.ipynb
- formula_interface.ipynb
- load_transform_formula.py
- LICENCE.txt
- regions-20140306-100m.cpg
- regions-20140306-100m.dbf
- regions-20140306-100m.prj
- regions-20140306-100m.shp
- regions-20140306-100m.shx
- regions-descriptif.txt
- glm_french_motor.ipynb
- glm_french_motor.md
- load_transform.py
- README.md
- penalized_splines.ipynb
- Zip_Codes.cpg
- Zip_Codes.dbf
- Zip_Codes.prj
- Zip_Codes.shp
- Zip_Codes.shx
- data_prep.py
- maps.py
- regularization_housing.ipynb
- regularization_housing.md
- .gitignore
- explore_data.ipynb
- feature_engineering.py
- fixed_effects_rossman.ipynb
- fixed_effects_rossman.md
- process_data.py
- metrics.py
- tutorials.rst
- .gitignore
- background.ipynb
- benchmarks.rst
- changelog.rst
- conf.py
- contributing.rst
- dev
- glm.rst
- index.rst
- install.rst
- lasso.ipynb
- make.bat
- Makefile
- motivation.rst
- performance.png
- spatial-smoothing.ipynb
- __init__.py
- create_housing.py
- create_insurance.py
- simulated_glm.py
- __init__.py
- bench_celer.py
- bench_glmnet.py
- bench_glum.py
- bench_h2o.py
- bench_pygam.py
- bench_skglm.py
- bench_sklearn.py
- bench_zeros.py
- config.yaml
- results.csv
- test_benchmarks.py
- __init__.py
- compare_results.py
- config.py
- config.yaml
- config_ci.yaml
- problems.py
- README.md
- run_benchmarks.py
- util.py
- __init__.py
- _cd_fast.pyx
- _distribution.py
- _formula.py
- _functions.pyx
- _glm.py
- _glm_cv.py
- _linalg.py
- _link.py
- _solvers.py
- _typing.py
- _utils.py
- _validation.py
- .gitignore
- fit.py
- run.py
- benchmark_gm.json
- simulation_gm.json
- memory_cat_copy_False.png
- memory_cat_copy_None.png
- memory_cat_copy_True.png
- memory_dense_copy_False.png
- memory_dense_copy_None.png
- memory_dense_copy_True.png
- memory_sparse_copy_False.png
- memory_sparse_copy_None.png
- memory_sparse_copy_True.png
- memory_split0.1_copy_False.png
- memory_split0.1_copy_None.png
- memory_split0.1_copy_True.png
- test_performance.py
- glum_v3_0_model.pkl
- test_benchmark_golden_master.py
- test_distribution.py
- test_formula.py
- test_glm_base.py
- test_glm_cv.py
- test_glm_regressor.py
- test_golden_master.py
- test_intercept.py
- test_link.py
- test_offset_weight_obj_equivalent.py
- test_pickle_compatibility.py
- test_utils.py
- .gitattributes
- .gitignore
- .pre-commit-config.yaml
- .readthedocs.yml
- CHANGELOG.rst
- CONTRIBUTING.md
- LICENSE
- NOTICE
- pixi.lock
- pixi.toml
- pyproject.toml
- pytest.ini
- README.md
- SECURITY.md
- setup.cfg
- setup.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/Quantco/glum
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd glum
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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