docs: def predict_from_named_sequences(
              self, name_to_sequence_dict):
          """
          Parameters
          ----------
          name_to_sequence_dict : (str->str) dict
              Dictionary mapping sequence names to amino acid sequences
  
          Returns pandas.DataFrame with the following columns:
              - source_sequence_name
              - peptide
              - peptide_offset
              - peptide_length
              - allele
              - affinity
              - percentile_rank
              - prediction_method_name
          """
          df = self.mhc_model.predict_subsequences_dataframe(name_to_sequence_dict)
          return df.rename(
              columns={
                  "length": "peptide_length",
                  "offset": "peptide_offset"})