class_docstr: Transformer that scales time series such that mean is equal to 0 and
  standard deviation is equal to 1.
code: def _predict_core(self, s: pd.Series) -> pd.Series:
      mean = s.mean()
      std = s.std()
  
      if std == 0:
          std = 1
  
      return (s - mean) / std
  
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 3 for calling the StandardScale obj's underlying member method code with example usage: obj._predict_core(s) and returns: unknown