class_docstr: A storage for persisting results and managing state.
class_docstr_tok: ["A","storage","for","persisting","results","and","managing","state","."]
docstr: Returns the metrics for all stored models.
docstr_tok: ["Returns","the","metrics","for","all","stored","models","."]
code: def get_model_metrics(self) -> Iterable[Iterable[float]]:
      """Returns the metrics for all stored models."""
      pass
  
file_path: adanet/adanet/experimental/storages/storage.py
imports: import abc
  from typing import Iterable, List
  import tensorflow.compat.v2
label_desc: Use image node_id 4 for calling the Storage obj's underlying member method code with example usage: obj.get_model_metrics() without return types