class_docstr: The L2 (ridge) penalty applied to each parameter.
class_docstr_tok: ["The","L2","(","ridge",")","penalty","applied","to","each","parameter","."]
code: def func(self, params):
      return self.weights * params**2
  
imports: import numpy
label_desc: Use image node_id 2 for calling the L2Univariate obj's underlying member method code with example usage: obj.func(params) and returns: unknown