v0.2.0

v0.2.0 (2026-05-03)

• 🚀 New — scmidas.integrate(mdata) one-line entry point
  • A thin top-level wrapper around MIDAS.configure_data_from_mdata
    • train() with toy-tuned defaults (batch_size=128,
      max_epochs=65, lr=3e-4) so that the bundled quickstart
      dataset converges in roughly one minute on a single mid-range
      GPU. The full MIDAS class API is unchanged for users who
      need control.
  • ⚠️ The defaults are tuned for the toy quickstart only. For
    real datasets, override max_epochs (1000-2000) and consider
    batch_size=256.
• 🚀 New — bundled quickstart dataset
  • scmidas.datasets.quickstart() returns a 1600-cell PBMC RNA+ADT
    mosaic MuData (4 batches, full mosaic structure: one RNA-only,
    one ADT-only, two paired). 500 RNA HVGs + 224 ADT features,
    2.66 MB shipped inside the wheel.
  • Source: hand-tuned subset of wnn_mosaic_8batch_mtx. Build
    script: scripts/build_quickstart_demo.py.
• 📚 Documentation
  • New examples/quickstart.ipynb — pre-rendered notebook that
    users can open in Colab via the new badge in the README, no
    local install required.
  • README quickstart rewritten: replaces the previous ... API
    sketch with a runnable five-line snippet using
    scmidas.datasets.quickstart() + scmidas.integrate(),
    followed by the rendered UMAP image.
• ⚙️ Packaging
  • pyproject.toml ships data/*.h5mu as package data so the
    quickstart dataset travels with the wheel.
  • Module-level logging.basicConfig(level=INFO) removed from
    five files (config, data, model, nn, utils); each
    now does the canonical logger = logging.getLogger(__name__)
    instead. Demo notebooks call logging.basicConfig themselves
    so visible output is unchanged. Libraries should not call
    basicConfig — it overrides the user's own logging config.

Version 0.1.x