code: def transform(self, sequences):
          
          check_iter_of_sequences(sequences)
          transforms = []
          for X in sequences:
              transforms.append(self.partial_transform(X))
          return transforms
docs: Apply dimensionality reduction to sequences
  
          Parameters
          ----------
          sequences: list of array-like, each of shape (n_samples_i, n_features)
              Sequence data to transform, where n_samples_i in the number of samples
              in sequence i and n_features is the number of features.
  
          Returns
          -------
          sequence_new : list of array-like, each of shape (n_samples_i, n_components)