"""
.. module:: CRegularizerL2
:synopsis: L2-Norm Regularizer Function
.. moduleauthor:: Marco Melis <marco.melis@unica.it>
.. moduleauthor:: Ambra Demontis <ambra.demontis@unica.it>
"""
from secml.ml.classifiers.regularizer import CRegularizer
from secml.array import CArray
[docs]class CRegularizerL2(CRegularizer):
"""Norm-L2 Regularizer.
L2 Regularizer is given by:
.. math::
R(w) := \\frac {1}{2} \\sum_{i=1}^{n} w_i^2
Attributes
----------
class_type : 'l2'
"""
__class_type = 'l2'
[docs] def regularizer(self, w):
"""Returns Norm-L2.
Parameters
----------
w : CArray
Vector-like array.
"""
return 0.5 * (w ** 2).sum()
[docs] def dregularizer(self, w):
"""Return Norm-L2 derivative.
Parameters
----------
w : CArray
Vector-like array.
"""
return w