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Trajectory construction on an energy landscape for edmkit

Project description

edmkit-search

Trajectory construction on an energy landscape, packaged as a library on top of edmkit.

Install

pip install edmkit-search
# or
uv add edmkit-search

Overview

The search loop builds a trajectory step by step:

  1. From the current frontier (batch of (state, context)),
  2. expand neighbors via a Neighborhood,
  3. score children with an Energy to obtain (energies, contexts),
  4. and pick the next frontier with a Strategy.

See CODING.md for the design rules. The subpackages mirror the four abstractions: energy/, neighborhood/, state/, strategy/, plus dataset/ for the input containers.

Quick start

uv sync
PYTHON_GIL=0 uv run python e2e/synthetic.py

e2e/synthetic.py generates a Lorenz-96 trajectory mixed with noise columns and uses greedy forward selection to recover the informative subset.

Tests

uv run pytest

Experiments

Real-data experiments (fly, fish) and the analysis pipeline live in a separate repository: edmkit-search-experiments.

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