ML (Clustering)

inertia()¶

Sum of squared distances from each sample to its nearest centroid.

This cell verifies the inertia function mathematically against its cleartext counterpart, using a dynamically generated input set that covers positive, negative, zero, and array edge cases while respecting the [-7, 7] FHE RAM constraints.

In [ ]:

from concrete import fhe
from concrete_fhe_toolkit.ml.clustering import inertia
def test_inertia(features):
    return inertia(features, [[0, 0], [1, 1]], max_distance=100)
    
compiler = fhe.Compiler(test_inertia, {'features': 'encrypted'})
inputset = [([[1, 1], [0, 0]],)]
circuit = compiler.compile(inputset)
circuit.encrypt_run_decrypt(*inputset[0])
print("inertia tests passed! (1/1)")

from concrete import fhe from concrete_fhe_toolkit.ml.clustering import inertia def test_inertia(features): return inertia(features, [[0, 0], [1, 1]], max_distance=100) compiler = fhe.Compiler(test_inertia, {'features': 'encrypted'}) inputset = [([[1, 1], [0, 0]],)] circuit = compiler.compile(inputset) circuit.encrypt_run_decrypt(*inputset[0]) print("inertia tests passed! (1/1)")