code: from flaml import AutoML
  from sklearn.datasets import fetch_california_housing
  
  # Initialize an AutoML instance
  automl = AutoML()
  # Specify automl goal and constraint
  automl_settings = {
      "time_budget": 1,  # in seconds
      "metric": "r2",
      "task": "regression",
      "log_file_name": "test/california.log",
  }
  X_train, y_train = fetch_california_housing(return_X_y=True)
  # Train with labeled input data
  automl.fit(X_train=X_train, y_train=y_train, **automl_settings)
  print(automl.model)
  print(automl.model.estimator)
  
  print(automl.best_estimator)
  print(automl.best_config)
  print(automl.best_config_per_estimator)
  
  print(automl.best_config_train_time)
  print(automl.best_iteration)
  print(automl.best_loss)
  print(automl.time_to_find_best_model)
  print(automl.config_history)
  
apis: sklearn.datasets.fetch_california_housing