class_docstr: Base class for parametric objects with tags in sktime.
  
  Extends skbase BaseObject with additional features.
class_docstr_tok: ["Base","class","for","parametric","objects","with","tags","in","sktime",".","Extends","skbase","BaseObject","with","additional","features","."]
docstr: Load object from file location.
  
  Parameters
  ----------
  serial : result of ZipFile(path).open("object)
  
  Returns
  -------
  deserialized self resulting in output at `path`, of `cls.save(path)`
docstr_tok: ["Load","object","from","file","location",".","Parameters","--","--","--","--","--","serial",":","result","of","ZipFile","(","path",")",".open","(","``","object",")","Returns","--","--","--","-","deserialized","self","resulting","in","output","at","`","path","`",",","of","`","cls.save","(","path",")","`"]
code: def load_from_path(cls, serial):
      """Load object from file location.
  
      Parameters
      ----------
      serial : result of ZipFile(path).open("object)
  
      Returns
      -------
      deserialized self resulting in output at `path`, of `cls.save(path)`
      """
      import pickle
      from zipfile import ZipFile
  
      with ZipFile(serial, "r") as file:
          return pickle.loads(file.open("_obj").read())
  
imports: import warnings
  from copy import deepcopy
  from skbase.base import BaseObject
  from sklearn import clone
  from sklearn.base import BaseEstimator
  from sktime.exceptions import NotFittedError
  from sktime.utils.random_state import set_random_state
label_desc: Use image node_id 6 for calling the BaseObject obj's underlying member method code with example usage: obj.load_from_path(cls, serial) and returns: pickle