class_docstr: Regularization for Elastic Net Regression 
class_docstr_tok: ["Regularization","for","Elastic","Net","Regression"]
code: def __init__(self, alpha, l1_ratio=0.5):
      self.alpha = alpha
      self.l1_ratio = l1_ratio
  
imports: from __future__ import print_function, division
  import numpy
  import math
  from mlfromscratch.utils import normalize, polynomial_features
label_desc: Use image node_id 1 to create a new l1_l2_regularization object  with example: obj = l1_l2_regularization(alpha, l1_ratio)