Anonymous research code for missingness-aware conformal prediction.
This repository contains the implementation used for the MissCP experiments:
split conformal prediction, missingness-defined Mondrian calibration, model-swap
diagnostics, simulation sweeps, and clinical/non-clinical experiment runners.
The repository intentionally excludes raw datasets, generated outputs, local
experiment logs, paper drafts, and environment-specific paths.
Installation
uv sync
Optional external baselines:
uv sync --extra external-baselines
This extra installs conditionalconformal==0.0.5.
Optional non-clinical ACS dependency:
uv sync --extra non-clinical
Repository Layout
src/sepsis_mcp/: implementation and experiment entry points.
tests/: unit tests and smoke tests.
VERSION: repository version marker.
pyproject.toml: package metadata and dependencies.
Data
No raw data are included. Public datasets should be downloaded separately from
their official sources and passed to commands through CLI arguments.
