class_docstr: Usage:
      Run the iris_classifier service in production mode:
  
          bentoml serve-http iris_classifier:latest
  
      Start locust load testing client with:
  
          locust --class-picker -H http://localhost:3000
  
      Open browser at http://0.0.0.0:8089, adjust desired number of users and spawn
      rate for the load test from the Web UI and start swarming.
code: def classify(self):
      index = np.random.choice(num_of_rows - 1)
  
      input_data = test_data[index]
      self.client.post("/classify", json=input_data.tolist())
  
imports: import numpy
  from locust import HttpUser
  from locust import between
  from locust import task
  from sklearn import datasets
label_desc: Use image node_id 1 for calling the IrisHttpUser obj's underlying member method code with example usage: obj.classify() without return types