code: def transform_with(self, estimator, out_ds, fmt=None):
          
          if isinstance(out_ds, str):
              out_ds = self.create_derived(out_ds, fmt=fmt)
          elif isinstance(out_ds, _BaseDataset):
              err = "Dataset must be opened in write mode."
              assert out_ds.mode in ('w', 'a'), err
          else:
              err = "Please specify a dataset path or an existing dataset."
              raise ValueError(err)
          for key in self.keys():
              out_ds[key] = estimator.partial_transform(self[key])
          return out_ds
docs: Call the partial_transform method of the estimator on this dataset
  
          Parameters
          ----------
          estimator : object with ``partial_fit`` method
              This object will be used to transform this dataset into a new
              dataset. The estimator should be fitted prior to calling
              this method.
          out_ds : str or Dataset
              This dataset will be transformed and saved into out_ds. If
              out_ds is a path, a new dataset will be created at that path.
          fmt : str
              The type of dataset to create if out_ds is a string.
  
          Returns
          -------
          out_ds : Dataset
              The tranformed dataset.