Quick Start

Installation

pip install shesha-geometry

Feature-split stability (unsupervised)

import numpy as np
import shesha

X = np.random.randn(500, 768)
stability = shesha.feature_split(X, n_splits=30, seed=320)
print(f"Feature-split stability: {stability:.3f}")

With labels

y = np.random.randint(0, 10, 500)
alignment = shesha.supervised_alignment(X, y)
print(f"Supervised alignment: {alignment:.3f}")

Measuring drift

X_before = np.random.randn(100, 256)
X_after = X_before + np.random.randn(100, 256) * 0.3

similarity = shesha.rdm_similarity(X_before, X_after)
drift = shesha.rdm_drift(X_before, X_after)
print(f"RDM similarity: {similarity:.3f}, drift: {drift:.3f}")