LightGBMLSS
An extension of LightGBM to probabilistic modelling
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Download Latest Version (.zip)- install_osx_dependencies.sh
- claude-code-review.yml
- claude.yml
- mkdocs.yaml
- release.yml
- unit-tests.yml
- Expectile_Regression.ipynb
- Gamma_Regression_CaliforniaHousing.ipynb
- Gaussian_Regression.ipynb
- GaussianMixture_Regression_CaliforniaHousing.ipynb
- How_To_Select_A_Univariate_Distribution.ipynb
- SplineFlow_Regression.ipynb
- ZAGamma_Regression.ipynb
- main.html
- api.md
- dgbm.md
- distributions.md
- index.md
- LightGBMLSS.png
- mixture.png
- LightGBMLSS.png
- __init__.py
- data_loader.py
- gaussian_test_sim.csv
- gaussian_train_sim.csv
- studentT_test_sim.csv
- studentT_train_sim.csv
- __init__.py
- Beta.py
- Cauchy.py
- distribution_utils.py
- Expectile.py
- flow_utils.py
- Gamma.py
- Gaussian.py
- Gumbel.py
- Laplace.py
- Logistic.py
- LogNormal.py
- Mixture.py
- mixture_distribution_utils.py
- NegativeBinomial.py
- Poisson.py
- SplineFlow.py
- StudentT.py
- Weibull.py
- ZABeta.py
- ZAGamma.py
- ZALN.py
- zero_inflated.py
- ZINB.py
- ZIPoisson.py
- __init__.py
- logger.py
- model.py
- utils.py
- __init__.py
- test_calculate_start_values.py
- test_compute_gradients_and_hessians.py
- test_crps_score.py
- test_dist_select.py
- test_draw_samples.py
- test_get_params_loss.py
- test_loss_fn_start_values.py
- test_metric_fn.py
- test_objective_fn.py
- test_predict_dist.py
- test_stabilize_derivative.py
- __init__.py
- test_expectile.py
- test_mixture.py
- test_spline_flow.py
- test_univariate_cont_distns.py
- test_univariate_discrete_distns.py
- __init__.py
- test_create_spline_flow.py
- test_crps_score.py
- test_replace_parameters.py
- __init__.py
- test_create_mixture_distribution.py
- test_get_component_distributions.py
- __init__.py
- test_model.py
- __init__.py
- test_utils.py
- __init__.py
- utils.py
- .gitignore
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- LICENSE.txt
- mkdocs.yml
- pyproject.toml
- README.md
# Installation Guide
1. Get the code
git clone https://github.com/StatMixedML/LightGBMLSS
Downloads the entire project code from GitHub to your computer.
cd LightGBMLSS
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install git+https://github.com/StatMixedML/LightGBMLSS.git
Installs the package published on PyPI directly β no need to clone the source.
pip install lightgbmlss
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install git+https://github.com/StatMixedML/LightGBMLSS.git
Installs the package published on PyPI directly β no need to clone the source.
pip install lightgbmlss
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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