class_docstr: Defines and formats data for the Alpha158 dataset.
  
  Attributes:
    column_definition: Defines input and data type of column used in the
      experiment.
    identifiers: Entity identifiers used in experiments.
docstr: Returns fixed model parameters for experiments.
code: def get_fixed_params(self):
      """Returns fixed model parameters for experiments."""
  
      fixed_params = {
          "total_time_steps": 6 + 6,
          "num_encoder_steps": 6,
          "num_epochs": 100,
          "early_stopping_patience": 10,
          "multiprocessing_workers": 5,
      }
  
      return fixed_params
  
file_path: qlib/examples/benchmarks/TFT/data_formatters/qlib_Alpha158.py
imports: import data_formatters.base
  import libs.utils
  import sklearn.preprocessing
label_desc: Use image node_id 6 for calling the Alpha158Formatter obj's underlying member method code with example usage: obj.get_fixed_params() and returns: fixed_params