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mkdocs.yml
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mkdocs.yml
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site_name: LightGBMLSS
site_url: https://github.com/StatMixedML/LightGBMLSS
repo_url: https://github.com/StatMixedML/LightGBMLSS
markdown_extensions:
- pymdownx.arithmatex:
generic: true
- attr_list
- md_in_html
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
theme:
name: readthedocs
highlightjs: true
icon:
repo: fontawesome/brands/github
extra_javascript:
- javascripts/mathjax.js
- https://polyfill.io/v3/polyfill.min.js?features=es6
- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
plugins:
- search
- autorefs
- mkdocs-jupyter:
include_source: True
- mkdocstrings:
handlers:
python:
options:
show_submodules: true
nav:
- Home: index.md
- Distributional Modelling: dgbm.md
- Available Distributions: distributions.md
- Examples:
- Basic Walkthrough - Gaussian Regression: examples/Gaussian_Regression.ipynb
- Expectile Regression: examples/Expectile_Regression.ipynb
- Gamma Regression (California Housing Data): examples/Gamma_Regression_CaliforniaHousing.ipynb
- Gaussian-Mixture Regression: examples/GaussianMixture_Regression_CaliforniaHousing.ipynb
- How to Select a Univariate Distribution: examples/How_To_Select_A_Univariate_Distribution.ipynb
- Spline Flow Regression: examples/SplineFlow_Regression.ipynb
- Zero-Adjusted Gamma Regression: examples/ZAGamma_Regression.ipynb
- API Docs:
- api.md