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: Initialises formatter.
code: def __init__(self):
      """Initialises formatter."""
  
      self.identifiers = None
      self._real_scalers = None
      self._cat_scalers = None
      self._target_scaler = None
      self._num_classes_per_cat_input = None
  
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 1 to create a new Alpha158Formatter object from inherited base classes: GenericDataFormatter with example: obj = Alpha158Formatter()