docstr: Derive preprocessing parameters from data.
docstr_tok: ["Derive","preprocessing","parameters","from","data","."]
code: def run_feature_identification(
      self, input_table_spec: TableSpec
  ) -> Dict[str, NormalizationData]:
      """
      Derive preprocessing parameters from data.
      """
      pass
  
imports: import abc
  import logging
  import pickle
  from typing import Dict, List, NamedTuple, Optional, Tuple
  from reagent.core.parameters import NormalizationData
  from reagent.data.data_fetcher import DataFetcher
  from reagent.data.oss_data_fetcher import OssDataFetcher
  from reagent.preprocessing.batch_preprocessor import BatchPreprocessor
  from reagent.workflow.types import Dataset, ReaderOptions, ResourceOptions, RewardOptions, TableSpec
  from .reagent_data_module import ReAgentDataModule
label_desc: Use image node_id 8 for calling the ManualDataModule obj's underlying member method code with example usage: obj.run_feature_identification(input_table_spec) without return types