Integrated tool for model development and validation.
Project description
MoDeVa
Integrated toolkit for interpretable model development and validation, with its accompanying documentation, examples and monograph.
The repository is organized into six top-level sections:
| Folder | Contents |
|---|---|
1-source-code/ |
The modeva Python package, setup.py, requirements, build scripts and the Sphinx documentation config. |
2-user-guide/ |
User guide (reStructuredText), covering feature engineering, DirectRS, ICL-MoE, FuseKernel and AMIF. |
3-api-reference/ |
API reference (reStructuredText, generated by autodoc from the package). |
4-notebook-examples/ |
Jupyter notebook examples: low-code and high-code walkthroughs and datasets. |
5-monograph/ |
The MoDeVa monograph (LaTeX source and compiled PDF) with its per-chapter notebook companions. |
6-agent/ |
The MoDeVa data-science agent and its vLLM deployment tooling. |
Installation
Install the package from its source folder:
cd 1-source-code
python -m pip install .
For an editable development install:
python -m pip install -e 1-source-code
Documentation
The user guide, API reference and gallery build as a single Sphinx site. The
configuration lives in 1-source-code/docs/; the source directory is the
repository root, so the build pulls content from 2-user-guide/,
3-api-reference/ and the generated gallery.
cd 1-source-code/docs
make html # output in 1-source-code/docs/_build/html
Building the gallery requires sphinx, sphinx-gallery, numpydoc and
sphinx_rtd_theme in addition to the package dependencies.
Monograph
The compiled monograph is 5-monograph/modeva_monograph.pdf. To rebuild from
source, compile 5-monograph/modeva_monograph.tex with a LaTeX toolchain; the
executed notebook companions are under 5-monograph/notebooks/.
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