text: import os
  import mlflow
  from random import random, randint
  
  if __name__ == "__main__":
      mlflow.set_tracking_uri("http://mlflow_server:7777")
      mlflow.set_experiment("my-experiment")
      with mlflow.start_run():
          # Log a parameter (key-value pair)
          mlflow.log_param("param1", randint(0, 100))
  
          # Log a metric; metrics can be updated throughout the run
          mlflow.log_metric("foo", random())
          mlflow.log_metric("foo", random() + 1)
          mlflow.log_metric("foo", random() + 2)
  