docstr: Loads the feature extractor from a pickle file.
  
  Args:
      path (str): The path to load the file from
docstr_tok: ["Loads","the","feature","extractor","from","a","pickle","file",".","Args",":","path","(","str",")",":","The","path","to","load","the","file","from"]
code: def load_from_object_file(self, path):
      """Loads the feature extractor from a pickle file.
  
      Args:
          path (str): The path to load the file from
      """
      for k, v in pickle.load(open(path, "rb")).items():
          setattr(self, k, v)
  
file_path: pytorch_tabular/src/pytorch_tabular/feature_extractor.py
imports: from collections import defaultdict
  import pandas
  from rich.progress import track
  from sklearn.base import BaseEstimator, TransformerMixin
  from pytorch_tabular.models import NODEModel, TabNetModel
  from pytorch_tabular.models.mixture_density import MDNModel
  import torch
label_desc: Use image node_id 6 for calling the DeepFeatureExtractor obj's underlying member method code with example usage: obj.load_from_object_file(path) without return types