code: def evaluation_fn(step, width, height):
      return (0.1 + width * step / 100) ** (-1) + height * 0.1
  
file_path: ray/python/ray/tune/examples/mlflow_example.py
imports: import os
  import tempfile
  import time
  import mlflow
  from ray import train, tune
  from ray.air.integrations.mlflow import MLflowLoggerCallback, setup_mlflow
label_desc: Use image node_id 1 for calling a global function with example usage: evaluation_fn(step, width, height) and returns: unknown