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:
- From the current frontier (batch of
(state, context)), - expand neighbors via a
Neighborhood, - score children with an
Energyto obtain(energies, contexts), - 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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