This repository shares notebooks developed for AstroML. The material reproduces many of the figures from the book Statistics, Data Mining, and Machine Learning in Astronomy, and therefore organized in topics following the chapters. We focused on the later chapters that have actual applications using astronomical data. Narrative commentary is provided, however some sections maybe less self-explanatory without the book as a reference. The table of contents of the book can be found on the main astroML webpage, www.astroml.org.
Contributions are welcome in the form of pull requests.
This repository uses Jupytext and MyST Markdown Notebook to generate static html pages. We store both the linked .ipynb and .md files.
For making smaller changes to the text content of the notebooks, please edit the .md files using either the GitHub interface or a text editor.
For larger changes to the code and outputs, the easiest approach is to edit the notebooks directly.
You will need to install some extra dependencies for rendering the notebooks to html pages, install them via:
pip install -r doc-requirements.txt
Running some of the notebooks takes significant time, therefore we store the outputs in them and therefore building the pages without executing the notebooks:
sphinx-build -b html -D jupyter_execute_notebooks=off . _build/html
The rendered notebooks then available in _build/html/index.html