class_docstr: Wrapper around features dict for accessing keys and values for slicing.
code: def __init__(
      self,
      features_dicts: Iterable[
          Union[
              types.DictOfTensorValue, types.DictOfFetchedTensorValues
          ]
      ],
      default_features_dict: Optional[
          Union[
              types.DictOfTensorValue, types.DictOfFetchedTensorValues
          ]
      ] = None,
  ):
      self._features_dicts = features_dicts
      self._default_features_dict = default_features_dict
  
file_path: model-analysis/tensorflow_model_analysis/slicer/slice_accessor.py
imports: from typing import Iterable, List, Optional, Union
  import numpy
  import pyarrow
  import tensorflow
  from tensorflow_model_analysis.api import types
label_desc: Use image node_id 1 to create a new SliceAccessor object  with example: obj = SliceAccessor(features_dicts, default_features_dict)