docstr: Attempts to initialize function given the implementation file path and arguments.
  
  Args:
      impl_path (str): The file path of the function implementation file.
      function_args (Dict, optional): Dictionary of arguments to pass to the function. Defaults to {}.
  
  Returns:
      FunctionCatalogEntry: A FunctionCatalogEntry object that represents the initialized function.
  
  Raises:
      RuntimeError: If an error occurs while initializing the function.
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code: def _try_initializing_function(
      self, impl_path: str, function_args: Dict = {}
  ) -> FunctionCatalogEntry:
      """Attempts to initialize function given the implementation file path and arguments.
  
      Args:
          impl_path (str): The file path of the function implementation file.
          function_args (Dict, optional): Dictionary of arguments to pass to the function. Defaults to {}.
  
      Returns:
          FunctionCatalogEntry: A FunctionCatalogEntry object that represents the initialized function.
  
      Raises:
          RuntimeError: If an error occurs while initializing the function.
      """
  
      # load the function class from the file
      try:
          # loading the function class from the file
          function = load_function_class_from_file(
              impl_path, self.node.name
          )
          # initializing the function class calls the setup method internally
          function(**function_args)
      except Exception as e:
          err_msg = (
              f"Error creating function {self.node.name}: {str(e)}"
          )
          # logger.error(err_msg)
          raise RuntimeError(err_msg)
  
      return function
  
imports: import contextlib
  import hashlib
  import locale
  import os
  import pickle
  import re
  import time
  from pathlib import Path
  from typing import Dict, List
  import numpy
  import pandas
  from evadb.catalog.catalog_utils import get_metadata_properties
  from evadb.catalog.models.function_catalog import FunctionCatalogEntry
  from evadb.catalog.models.function_io_catalog import FunctionIOCatalogEntry
  from evadb.catalog.models.function_metadata_catalog import FunctionMetadataCatalogEntry
  from evadb.configuration.constants import DEFAULT_SKLEARN_TRAIN_MODEL, DEFAULT_TRAIN_REGRESSION_METRIC, DEFAULT_TRAIN_TIME_LIMIT, DEFAULT_XGBOOST_TASK, SKLEARN_SUPPORTED_MODELS, EvaDB_INSTALLATION_DIR
  from evadb.database import EvaDBDatabase
  from evadb.executor.abstract_executor import AbstractExecutor
  from evadb.functions.decorators.utils import load_io_from_function_decorators
  from evadb.models.storage.batch import Batch
  from evadb.plan_nodes.create_function_plan import CreateFunctionPlan
  from evadb.third_party.huggingface.create import gen_hf_io_catalog_entries
  from evadb.utils.errors import FunctionIODefinitionError
  from evadb.utils.generic_utils import load_function_class_from_file, string_comparison_case_insensitive, try_to_import_flaml_automl, try_to_import_ludwig, try_to_import_neuralforecast, try_to_import_statsforecast, try_to_import_torch, try_to_import_ultralytics
  from evadb.utils.logging_manager import logger
label_desc: Use image node_id 11 for calling the CreateFunctionExecutor obj's underlying member method code with example usage: obj._try_initializing_function(impl_path, function_args) and returns: function