recoverability 0.1.0

Compute recoverability dimensions (rho_variance and rho_worst) for arbitrary model functions.

recoverability

recoverability computes recoverability metrics for model mechanisms.

The package currently provides:

• rho_variance(model_fn, X)
• rho_worst(model_fn, X)
• rho_report(model_fn, X)
• Example mechanisms such as linear_sum and product_mechanism

Installation

pip install recoverability

Quick Start

import numpy as np

from recoverability import rho_worst

X = np.random.default_rng(0).uniform(0.0, 1.0, size=(300, 3))

def model_fn(x: np.ndarray) -> np.ndarray:
    return x[:, 0] + x[:, 1] * x[:, 2]

result = rho_worst(model_fn, X)
print(result["rho_worst"])

Development

python3 -m pytest tests/ -v
python3 -m build