Store feature and class names (if provided) in InputData and transfer them to OutputData (predictions)

When `InputData` is retrieved from a source with explicit feature and target class names (e.g. `.csv` file or Pandas `DataFrame`), it should remember their labels. The labels should also be included in `OutputData` (predictions) of the pipeline.

One way to do it is to use `SupplementaryData`, which is already included as an attribute of `InputData` and `OutputData`. Also, consider transferring categorial feature labels the same way.