class_docstr: A container for a model and its metadata.
class_docstr_tok: ["A","container","for","a","model","and","its","metadata","."]
code: def __init__(
      self, score: float, model: tf.keras.Model, metrics: List[float]
  ):
      self.score = score
      self.model = model
      self.metrics = metrics
  
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 1 to create a new ModelContainer object  with example: obj = ModelContainer(score, model, metrics)