docstr: Adds the data for a trained model. This includes measured values of certain metrics
  and additional fields by which a model selection strategy then selects the model.
  
  Parameters
  ----------
  model_id : str
      Unique identifier for this model.
  model_path : str
      Path to the model.
  measured_values : dict of str to object
      A dictionary of measured values.
  step : int
      The number of the epoch (1-indexed) which is associated with this model.
  fields : dict of str to object
      A dictionary of additional measured fields.
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code: def add_model(
      self, model_id, model_path, measured_values, step=0, fields=dict()
  ):
      """Adds the data for a trained model. This includes measured values of certain metrics
      and additional fields by which a model selection strategy then selects the model.
  
      Parameters
      ----------
      model_id : str
          Unique identifier for this model.
      model_path : str
          Path to the model.
      measured_values : dict of str to object
          A dictionary of measured values.
      step : int
          The number of the epoch (1-indexed) which is associated with this model.
      fields : dict of str to object
          A dictionary of additional measured fields.
      """
  
imports: import numpy
  from abc import ABC
  from small_text.training.metrics import Metric
label_desc: Use image node_id 1 for calling the ModelSelectionManager obj's underlying member method code with example usage: obj.add_model(model_id, model_path, measured_values, step, fields) without return types