class_docstr: Creates multi-class confusion matrix at thresholds from standard inputs.
class_docstr_tok: ["Creates","multi-class","confusion","matrix","at","thresholds","from","standard","inputs","."]
code: def create_accumulator(self) -> Matrices:
      return Matrices()
  
imports: from typing import Any, Callable, Dict, Iterable, Iterator, List, NamedTuple, Optional, Tuple
  import apache_beam
  import numpy
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import metrics_for_slice_pb2
label_desc: Use image node_id 2 for calling the _MultiClassConfusionMatrixCombiner obj's underlying member method code with example usage: obj.create_accumulator() and returns: Matrices