Python API reference

Placeholder

Sphinx is not yet configured for the ML workspace. This page will be populated when Sphinx is added to ml/pyproject.toml dev dependencies and ML modules are implemented.

To enable:

1. Add to ml/pyproject.toml dev deps: sphinx, sphinx-markdown-builder
2. Create ml/docs/conf.py
3. Run: cd ml && sphinx-build -b markdown docs/ output/

Setup instructions

# ml/pyproject.toml
[project.optional-dependencies]
docs = [
    "sphinx>=7.0",
    "sphinx-markdown-builder>=0.6",
]

# ml/docs/conf.py
project = "Aucert ML"
extensions = ["sphinx.ext.autodoc", "sphinx.ext.napoleon"]

Key modules

When generated, the reference will cover:

Module	Purpose
ml.models	Model training and evaluation
ml.serving	Model serving API
ml.pipeline	ML pipeline integration
ml.evaluation	Model evaluation metrics