class_docstr: convenience class of ConstraintsPenalty with L2 penalization
      
class_docstr_tok: ["convenience","class","of","ConstraintsPenalty","with","L2","penalization"]
code: def __init__(self, weights=None, restriction=None, sigma_prior=None):
      if sigma_prior is not None:
          raise NotImplementedError(
              "sigma_prior is not implemented yet"
          )
  
      penalty = L2Univariate()
  
      super().__init__(
          penalty, weights=weights, restriction=restriction
      )
  
imports: import numpy
label_desc: Use image node_id 1 to create a new L2ConstraintsPenalty object from inherited base classes: ConstraintsPenalty with example: obj = L2ConstraintsPenalty(weights, restriction, sigma_prior)