class_docstr: Base class for an Ax model.
  
  Note: the core methods each model has: `fit`, `predict`, `gen`,
  `cross_validate`, and `best_point` are not present in this base class,
  because the signatures for those methods vary based on the type of the model.
  This class only contains the methods that all models have in common and for
  which they all share the signature.
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docstr: Obtain the state of this model, in order to be able to serialize it
  and restore it from the serialized version.
  
  While most models in Ax aren't stateful, some models, like `SobolGenerator`,
  are. For Sobol, the value of the `init_position` changes throughout the
  generation process as more arms are generated, and restoring the Sobol
  generator with all the same settings as it was initialized with, will not
  result in the same model, because the `init_position` setting changed
  throughout optimization. Stateful settings like that are returned from
  this method, so that a model can be reinstantiated and 'pick up where it
  left off' –– more arms can be generated as if the model just continued
  generation and was never interrupted and serialized.
  
  NOTE: In most cases, `state` is passed into the model's initialization as
  kwargs, so keys in the state dict should correspond to model's kwargs.
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code: def _get_state(self) -> Dict[str, Any]:
      """Obtain the state of this model, in order to be able to serialize it
      and restore it from the serialized version.
  
      While most models in Ax aren't stateful, some models, like `SobolGenerator`,
      are. For Sobol, the value of the `init_position` changes throughout the
      generation process as more arms are generated, and restoring the Sobol
      generator with all the same settings as it was initialized with, will not
      result in the same model, because the `init_position` setting changed
      throughout optimization. Stateful settings like that are returned from
      this method, so that a model can be reinstantiated and 'pick up where it
      left off' –– more arms can be generated as if the model just continued
      generation and was never interrupted and serialized.
  
      NOTE: In most cases, `state` is passed into the model's initialization as
      kwargs, so keys in the state dict should correspond to model's kwargs.
      """
      return {}
  
imports: from typing import Any, Dict
label_desc: Use image node_id 3 for calling the Model obj's underlying member method code with example usage: obj._get_state() and returns: dict