class_docstr: Creates multi-label confusion matrix at thresholds from standard inputs.
class_docstr_tok: ["Creates","multi-label","confusion","matrix","at","thresholds","from","standard","inputs","."]
code: def create_accumulator(self) -> _Matrices:
      return {}
  
file_path: model-analysis/tensorflow_model_analysis/metrics/multi_label_confusion_matrix_plot.py
imports: from typing import Dict, Iterable, List, Optional, NamedTuple
  import apache_beam
  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 _MultiLabelConfusionMatrixPlotCombiner obj's underlying member method code with example usage: obj.create_accumulator() and returns: dict