docstr_tok: []
code: def __init__(
      self,
      num_rand_samples=10,
  ):
      """ """
      super(self.__class__, self).__init__()
  
      self.num_samples = num_rand_samples
  
file_path: analytics-zoo/pyzoo/zoo/examples/orca/automl/autoxgboost/AutoXGBoostRegressor.py
imports: import argparse
  import os
  from sklearn.model_selection import train_test_split
  from zoo import init_spark_on_local, init_spark_on_yarn
  from zoo.ray import RayContext
  from zoo.orca.automl.xgboost import AutoXGBRegressor
  from zoo.chronos.autots.deprecated.config.recipe import XgbRegressorSkOptRecipe, XgbRegressorGridRandomRecipe
  from zoo.chronos.autots.deprecated.config.base import Recipe
label_desc: Use image node_id 1 to create a new XgbSigOptRecipe object from inherited base classes: Recipe with example: obj = XgbSigOptRecipe(num_rand_samples)