code: def wtf(kwargs):
      for attr, val in sorted(kwargs.items()):
          print(f"   -   {attr:30}   -   {type(val)}")
          # We're just printing out the `type` of each value to avoid a wall of text
  
      # PRO TIP: It's much easier to view `kwargs` by using your IDE to set a breakpoint here
  
      # For now, we'll skip ahead by printing the very informative `stat_aggregates` attribute
      pp(kwargs["stat_aggregates"])
  
file_path: hyperparameter_hunter/examples/advanced_examples/save_model_callback.py
imports: from hyperparameter_hunter import Environment, CVExperiment, lambda_callback
  from hyperparameter_hunter.utils.learning_utils import get_breast_cancer_data
  import numpy
  from os import listdir, makedirs
  from pprint import pprint
  from xgboost import XGBClassifier
label_desc: Use image node_id 2 for calling a global function with example usage: wtf(kwargs) without return types