docstr: Takes the minimum score of a set of detectors in an ensemble.
docstr_tok: ["Takes","the","minimum","score","of","a","set","of","detectors","in","an","ensemble","."]
code: def __init__(self):
      """Takes the minimum score of a set of detectors in an ensemble."""
      super().__init__()
  
imports: from abc import ABC, abstractmethod
  from typing import Optional
  from typing_extensions import Self
  import torch
  import numpy
  from torch.nn import Module
  from alibi_detect.exceptions import NotFittedError
label_desc: Use image node_id 1 to create a new MinAggregator object from inherited base classes: BaseTransformTorch with example: obj = MinAggregator()