class_docstr: Event handler triggered on completing every iteration to save the classification predictions as CSV file.
  If running in distributed data parallel, only saves CSV file in the specified rank.
class_docstr_tok: ["Event","handler","triggered","on","completing","every","iteration","to","save","the","classification","predictions","as","CSV","file",".","If","running","in","distributed","data","parallel",",","only","saves","CSV","file","in","the","specified","rank","."]
docstr: Initialize internal buffers.
  
  Args:
      _engine: Ignite Engine, unused argument.
docstr_tok: ["Initialize","internal","buffers",".","Args",":","_engine",":","Ignite","Engine",",","unused","argument","."]
code: def _started(self, _engine: Engine) -> None:
      """
      Initialize internal buffers.
  
      Args:
          _engine: Ignite Engine, unused argument.
  
      """
      self._outputs = []
      self._filenames = []
  
file_path: MONAI/monai/handlers/classification_saver.py
imports: from __future__ import annotations
  import logging
  import warnings
  from collections.abc import Callable
  from typing import TYPE_CHECKING
  import torch
  from monai.config import IgniteInfo
  from monai.data import CSVSaver, decollate_batch
  from monai.utils import ImageMetaKey
  from monai.utils import evenly_divisible_all_gather, min_version, optional_import, string_list_all_gather
label_desc: Use image node_id 3 for calling the ClassificationSaver obj's underlying member method code with example usage: obj._started(_engine) without return types