code: def as_tsv(input: Tuple[str, float, float]) -> str:
      return "\t".join(str(i) for i in input)
  
file_path: hail/hail/python/hailtop/batch/docs/cookbook/files/run_rf_checkpoint.py
imports: import hailtop.batch
  import hailtop.fs
  import pandas
  from typing import Tuple
  from sklearn.ensemble import RandomForestRegressor
label_desc: Use image node_id 2 for calling a global function with example usage: as_tsv(input) and returns: str