class_docstr: A container class for metrics passed to `Model.compile`.
class_docstr_tok: ["A","container","class","for","metrics","passed","to","`","Model.compile","`","."]
docstr: Metrics in this container that should not be passed `sample_weight`.
code: def unweighted_metrics(self):
      """Metrics in this container that should not be passed `sample_weight`."""
      if not self._built:
          return None
      return nest.flatten(self._metrics)
  
imports: import copy
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.keras import losses
  from tensorflow.python.keras import metrics
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.keras.utils import losses_utils
  from tensorflow.python.keras.utils import tf_utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 3 for calling the MetricsContainer obj's underlying member method code with example usage: obj.unweighted_metrics() and returns: nest, None