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.
class_docstr_tok: ["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","."]
docstr: Serialized output of `self._get_state` to a JSON-ready dict.
  This may involve storing part of state in files / external storage and
  saving handles for that storage in the resulting serialized state.
docstr_tok: ["Serialized","output","of","`","self._get_state","`","to","a","JSON-ready","dict",".","This","may","involve","storing","part","of","state","in","files","\/","external","storage","and","saving","handles","for","that","storage","in","the","resulting","serialized","state","."]
code: def serialize_state(cls, raw_state: Dict[str, Any]) -> Dict[str, Any]:
      """Serialized output of `self._get_state` to a JSON-ready dict.
      This may involve storing part of state in files / external storage and
      saving handles for that storage in the resulting serialized state.
      """
      return raw_state
  
imports: from typing import Any, Dict
label_desc: Use image node_id 1 for calling the Model obj's underlying member method code with example usage: obj.serialize_state(cls, raw_state) and returns: raw_state