code: def create_model_parameter_section(info_dict):
      """Creates the model parameter section for model summary.
  
      Parameters
      ----------
      info_dict : `dict`
          The dictionary returned by
          `~greykite.algo.common.model_summary_utils.get_info_dict_lm`.
          or
          `~greykite.algo.common.model_summary_utils.get_info_dict_tree`.
  
      Returns
      -------
      content : `str`
          The model parameter section.
      """
      content = f"Number of observations: {info_dict['n_sample']}"
      content += ",   "
      content += f"Number of features: {info_dict['n_feature']}"
      content += "\n"
      content += f"Method: {info_dict['model']}"
      content += "\n"
      if info_dict["model_type"] == "lm":
          content += f"Number of nonzero features: {info_dict['n_feature_nonzero']}"
          content += "\n"
          if info_dict["fit_algorithm"] == "statsmodels_glm":
              content += f"Family: {info_dict['family']}"
              content += ",   "
              content += f"Link function: {info_dict['link_function']}"
              content += "\n"
          elif info_dict["fit_algorithm"] in [
              "ridge",
              "lasso",
              "lars",
              "lasso_lars",
              "elastic_net",
              "sgd",
          ]:
              content += f"Regularization parameter: {round_numbers(info_dict['alpha'], 4)}"
              if info_dict["fit_algorithm"] in ["elastic_net", "sgd"]:
                  content += ",   "
                  content += f"l1_ratio: {round_numbers(info_dict['l1_ratio'], 4)}"
              content += "\n"
      elif info_dict["model_type"] == "tree":
          content += f"Number of Trees: {info_dict['num_tree']}"
          content += ",   "
          content += f"Criterion: {info_dict['criterion'].upper()}"
          content += "\n"
          content += f"Subsample: {info_dict['subsample']}"
          content += ",   "
          content += f"Max features: {info_dict['max_features']}"
          content += ",   "
          content += f"Max depth: {info_dict['max_depth']}"
          content += "\n"
      content += "\n"
      return content
  
imports: import numpy
  import pandas
  import statsmodels
  import statsmodels.api
  from scipy.stats import f
  from scipy.stats import norm
  from scipy.stats import t
  from sklearn.base import clone
  from sklearn.linear_model import Ridge
  from sklearn.model_selection import train_test_split
  from greykite.algo.common.col_name_utils import INTERCEPT
  from greykite.algo.common.col_name_utils import simplify_pred_cols
label_desc: Use image node_id 25 for calling a global function with example usage: create_model_parameter_section(info_dict) and returns: content