class_docstr: Base class for feature configs.
class_docstr_tok: ["Base","class","for","feature","configs","."]
docstr: This function allows the user to specify which features from a dataset should be included during model
  training. This is the equivalent to toggling on a feature in the model creation UI.
  
  Returns:
      None
docstr_tok: ["This","function","allows","the","user","to","specify","which","features","from","a","dataset","should","be","included","during","model","training",".","This","is","the","equivalent","to","toggling","on","a","feature","in","the","model","creation","UI",".","Returns",":","None"]
code: def enable(self):
      """This function allows the user to specify which features from a dataset should be included during model
      training. This is the equivalent to toggling on a feature in the model creation UI.
  
      Returns:
          None
      """
      if self.active:
          _error_console.print("This feature is already enabled!")
      else:
          self.active = True
          _info_console.print(f"{self.name} feature enabled!\n")
          logger.info(self.__repr__())
  
imports: import logging
  from dataclasses import Field, field
  from typing import Any, Dict, Generic, Iterable, List, Optional, Tuple, TypeVar
  from marshmallow import fields, validate
  from rich.console import Console
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUDIO, BAG, BINARY, CATEGORY, DATE, H3, IMAGE, MODEL_ECD, MODEL_GBM, MODEL_LLM, NUMBER, SEQUENCE, SET, TEXT, TIMESERIES, VECTOR
  from ludwig.error import ConfigValidationError
  from ludwig.schema import utils
  from ludwig.schema.features.utils import ecd_input_config_registry, ecd_output_config_registry, gbm_input_config_registry, gbm_output_config_registry, get_input_feature_jsonschema, get_output_feature_jsonschema, llm_input_config_registry, llm_output_config_registry
  from ludwig.schema.metadata.parameter_metadata import INTERNAL_ONLY, ParameterMetadata
  from ludwig.schema.utils import ludwig_dataclass
label_desc: Use image node_id 2 for calling the BaseFeatureConfig obj's underlying member method code with example usage: obj.enable() without return types