class_docstr: Epsilon-insensitive hinge loss.
  
  Parameters
  ----------
  eps
class_docstr_tok: ["Epsilon-insensitive","hinge","loss",".","Parameters","--","--","--","--","--","eps"]
code: def __init__(self, eps=0.1):
      self.eps = eps
  
imports: from __future__ import annotations
  import math
  import numpy
  from scipy import special
  from river import base, utils
  from river.optim.base import Loss
label_desc: Use image node_id 1 to create a new EpsilonInsensitiveHinge object from inherited base classes: RegressionLoss with example: obj = EpsilonInsensitiveHinge(eps)