class_docstr: Transformer that scales time series such that mean is equal to 0 and
  standard deviation is equal to 1.
code: def _param_names(self) -> Tuple[str, ...]:
      return tuple()
  
imports: from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import numpy
  import pandas
  import statsmodels
  from packaging.version import parse
  from statsmodels.tsa.seasonal import seasonal_decompose
  from statsmodels.tsa.stattools import acf
  from .._transformer_base import _NonTrainableUnivariateTransformer, _TrainableUnivariateTransformer
  from .._utils import PandasBugError
label_desc: Use image node_id 2 for calling the StandardScale obj's underlying member method code with example usage: obj._param_names() and returns: tuple