class_docstr: Protocol for fitted transformer objects.
  
  This protocol models the joint interface of the :py:obj:`~alibi_detect.od.pytorch.ensemble.BaseTransformTorch`
  class and the :py:obj:`~alibi_detect.od.pytorch.ensemble.FitMixinTorch` class. These objects are transforms that
  require to be fit.
class_docstr_tok: ["Protocol","for","fitted","transformer","objects",".","This","protocol","models","the","joint","interface","of","the",":","py",":","obj",":","`","~alibi_detect.od.pytorch.ensemble.BaseTransformTorch","`","class","and","the",":","py",":","obj",":","`","~alibi_detect.od.pytorch.ensemble.FitMixinTorch","`","class",".","These","objects","are","transforms","that","require","to","be","fit","."]
code: def fit(self, x_ref):
      pass
  
file_path: alibi-detect/alibi_detect/od/base.py
imports: from alibi_detect.utils.missing_optional_dependency import import_optional
  from typing import Union
  from typing_extensions import Literal, Protocol, runtime_checkable
label_desc: Use image node_id 1 for calling the FittedTransformProtocol obj's underlying member method code with example usage: obj.fit(x_ref) without return types