class_docstr: Model provides an Estimator-like API similar to Keras.
code: def reset_metrics(self) -> None:
      if self.loss_and_logs is not None:
          self.loss_and_logs.reset()
  
imports: import typing
  import flax
  import jax
  import jax.numpy
  import numpy
  import treex
  from optax import GradientTransformation
  from elegy import types, utils
  from elegy.model.model_base import ModelBase
  from elegy.model.model_core import GradStepOutput, PredStepOutput, TestStepOutput, TrainStepOutput
label_desc: Use image node_id 11 for calling the Model obj's underlying member method code with example usage: obj.reset_metrics() without return types