class_docstr: Combines compilable metric weights and computes result.
class_docstr_tok: ["Combines","compilable","metric","weights","and","computes","result","."]
code: def compact(
      self,
      accumulator: tf_metric_accumulators.TFCompilableMetricsAccumulator,
  ) -> tf_metric_accumulators.TFCompilableMetricsAccumulator:
      self._process_batch(accumulator)
      self._num_compacts.inc(1)
      return accumulator
  
imports: import collections
  import importlib
  import itertools
  from typing import Any, Dict, Iterable, List, Optional, Type, Tuple, Union
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.metrics import binary_confusion_matrices
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.metrics import tf_metric_accumulators
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import model_util
label_desc: Use image node_id 7 for calling the _CompilableMetricsCombiner obj's underlying member method code with example usage: obj.compact(accumulator) and returns: accumulator