Information-geometric early warning signals (KL rate and geodesic acceleration).
Project description
geoews
geoews is a pip-installable Python package for information-geometric early warning signals.
This package extracts the canonical implementations from the source research repository:
- sliding-window Gaussian fitting
- KL divergence rate between consecutive Gaussian windows
- Fisher-Rao step distance (univariate exact, multivariate midpoint approximation)
- geodesic acceleration indicator
Install
pip install .
Quick start
import numpy as np
from geoews.windows import estimate_gaussian_params
from geoews.indicators import kl_divergence_rate, geodesic_acceleration
x = np.sin(np.linspace(0, 12, 2000))
times, mus, sigmas = estimate_gaussian_params(x, window_size=50, step=1)
kl = kl_divergence_rate(mus, sigmas)
acc = geodesic_acceleration(mus, sigmas, cumul_window=30)
Canonical constants
COVARIANCE_REGULARIZATION = 1e-6
Development
pip install -e ".[dev]"
pytest
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