docstr: If True, reduces the memory and disk size of predictor by deleting auxiliary model files that aren't needed for prediction on new data.
      This is equivalent to calling `predictor.save_space()` directly after `fit()`.
  This has NO impact on inference accuracy.
  It is recommended if the only goal is to use the trained model for prediction.
  Certain advanced functionality may no longer be available if `save_space=True`. Refer to `predictor.save_space()` documentation for more details.
docstr_tok: ["If","True",",","reduces","the","memory","and","disk","size","of","predictor","by","deleting","auxiliary","model","files","that","are","n't","needed","for","prediction","on","new","data",".","This","is","equivalent","to","calling","`","predictor.save_space","(",")","`","directly","after","`","fit","(",")","`",".","This","has","NO","impact","on","inference","accuracy",".","It","is","recommended","if","the","only","goal","is","to","use","the","trained","model","for","prediction",".","Certain","advanced","functionality","may","no","longer","be","available","if","`","save_space=True","`",".","Refer","to","`","predictor.save_space","(",")","`","documentation","for","more","details","."]
code: def save_space(self, save_space=True) -> ConfigBuilder:
      """
      If True, reduces the memory and disk size of predictor by deleting auxiliary model files that aren't needed for prediction on new data.
          This is equivalent to calling `predictor.save_space()` directly after `fit()`.
      This has NO impact on inference accuracy.
      It is recommended if the only goal is to use the trained model for prediction.
      Certain advanced functionality may no longer be available if `save_space=True`. Refer to `predictor.save_space()` documentation for more details.
      """
      self.config["save_space"] = save_space
      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 20 for calling the ConfigBuilder obj's underlying member method code with example usage: obj.save_space(save_space) and returns: self