docstr: [Experimental]
  Whether to keep 'object' features identified as 'image_path' special type. Features of this form should have a string path to an image file as their value.
  Only vision models can leverage these features, and these features will not be treated as categorical.
  Note: 'image_path' features will not be automatically inferred. These features must be explicitly specified as such in a custom FeatureMetadata object.
  Note: It is recommended that the string paths use absolute paths rather than relative, as it will likely be more stable.
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code: def enable_vision_features(
      self, value: bool = True
  ) -> FeatureGeneratorBuilder:
      """
      [Experimental]
      Whether to keep 'object' features identified as 'image_path' special type. Features of this form should have a string path to an image file as their value.
      Only vision models can leverage these features, and these features will not be treated as categorical.
      Note: 'image_path' features will not be automatically inferred. These features must be explicitly specified as such in a custom FeatureMetadata object.
      Note: It is recommended that the string paths use absolute paths rather than relative, as it will likely be more stable.
      """
      self.config["enable_vision_features"] = value
      return self
  
imports: from __future__ import annotations
  import copy
  from typing import Union
  from sklearn.base import BaseEstimator
  from autogluon.core.scheduler import scheduler_factory
  from autogluon.features import AutoMLPipelineFeatureGenerator
  from autogluon.tabular.configs.hyperparameter_configs import hyperparameter_config_dict
  from autogluon.tabular.configs.presets_configs import tabular_presets_dict
  from autogluon.tabular.trainer.model_presets.presets import MODEL_TYPES
label_desc: Use image node_id 8 for calling the FeatureGeneratorBuilder obj's underlying member method code with example usage: obj.enable_vision_features(value) and returns: self