quantus.functions.norm_func module

This module contains a collection of norm functions i.e., ways to measure the norm of a input- (or explanation) vector.

quantus.functions.norm_func.fro_norm(a: array) → float

Calculate Frobenius norm for an array.

Parameters:

a: np.ndarray

The array to calculate the Frobenius on. If 2D, the array is assumed to be batched.

Returns:

float

The norm.

quantus.functions.norm_func.l2_norm(a: array) → float

Calculate L2 norm for an array.

Parameters:

a: np.ndarray

The array to calculate the L2 on. If 2D, the array is assumed to be batched.

Returns:

float

The norm.

quantus.functions.norm_func.linf_norm(a: array) → float

Calculate L-inf norm for an array.

Parameters:

a: np.ndarray

The array to calculate the L-inf on. If 2D, the array is assumed to be batched.

Returns:

float

The norm.