code: def points_to_evaluate_field(
      description: Optional[str] = None,
  ) -> fields.Field:
      return schema_utils.DictList(
          description=description
          or (
              "Initial parameter suggestions to be run first. This is for when you already have some good parameters "
              "you want to run first to help the algorithm make better suggestions for future parameters. Needs to be "
              "a list of dicts containing the configurations."
          ),
      )
  
imports: from dataclasses import field
  from importlib import import_module
  from typing import Dict, List, Optional
  from marshmallow import fields, ValidationError
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.schema import utils
  from ludwig.schema.hyperopt import utils
  from ludwig.schema.utils import ludwig_dataclass
label_desc: Use image node_id 1 for calling a global function with example usage: points_to_evaluate_field(description) and returns: schema_utils