class_docstr: Augmenter inverting the time series by multiplying it by -1.
  
  If `transform` is given a time series :math:`X={x_1, x_2, ... , x_n}`, then
  returns :math:`X_t={-x_1, -x_2, ... , -x_n}`.
  
  Examples
  --------
  >>> X = pd.Series([1,2,3,4,5])
  >>> augmenter = InvertAugmenter()
  >>> Xt = augmenter.fit_transform(X)
  >>> Xt
  0   -1
  1   -2
  2   -3
  3   -4
  4   -5
  dtype: int64
code: def __init__(self):
      super().__init__()
  
imports: import numpy
  import pandas
  from sklearn.utils import check_random_state
  from sktime.transformations.base import BaseTransformer
label_desc: Use image node_id 1 to create a new InvertAugmenter object from inherited base classes: _AugmenterTags, BaseTransformer with example: obj = InvertAugmenter()