docstr: Train the transformer with given time series.
  
  Parameters
  ----------
  df: pandas.DataFrame
      Time series to be used to train the transformer.
docstr_tok: ["Train","the","transformer","with","given","time","series",".","Parameters","--","--","--","--","--","df",":","pandas.DataFrame","Time","series","to","be","used","to","train","the","transformer","."]
code: def fit(self, df: pd.DataFrame) -> None:
      """Train the transformer with given time series.
  
      Parameters
      ----------
      df: pandas.DataFrame
          Time series to be used to train the transformer.
  
      """
      self._fit(df)
  
file_path: adtk/src/adtk/_transformer_base.py
imports: from typing import Union
  import pandas
  from ._base import _NonTrainableMultivariateModel, _NonTrainableUnivariateModel, _TrainableMultivariateModel, _TrainableUnivariateModel
label_desc: Use image node_id 1 for calling the _TrainableMultivariateTransformer obj's underlying member method code with example usage: obj.fit(df) without return types