class_docstr: The L2 (ridge) penalty applied to each parameter.
class_docstr_tok: ["The","L2","(","ridge",")","penalty","applied","to","each","parameter","."]
code: def deriv(self, params):
      return 2 * self.weights * params
  
imports: import numpy
label_desc: Use image node_id 3 for calling the L2Univariate obj's underlying member method code with example usage: obj.deriv(params) and returns: unknown