class_docstr: L1 regularized loss
class_docstr_tok: ["L1","regularized","loss"]
code: def regularized_param(self, param_weights, reg_loss_function):
      reg_loss_function += self.lambda_reg * L1Regularizer.__add_l1(
          var=param_weights
      )
      return reg_loss_function
  
imports: from enum import Enum
label_desc: Use image node_id 2 for calling the L1Regularizer obj's underlying member method code with example usage: obj.regularized_param(param_weights, reg_loss_function) and returns: reg_loss_function